What Jobs are available for AI Software Engineer in the United Arab Emirates?

Overview

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance : Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power : Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data : Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a Senior SDK Developer, you will be a part of the team that works on the development of the new and cutting edge Tether AI SDK.

• Developer-Facing SDKs & APIs: Tether is committed to delivering world-class developer experiences through robust and intuitive SDKs. You will design, build, and maintain modular, versioned SDKs that abstract complex backend logic into clean, usable interfaces — enabling seamless integration with Tether’s platform across various client environments.

• Performance & Reliability at Scale: SDKs must be fast, lightweight, and reliable — even when performing heavy and demanding operations. You’ll design resilient logic (retry policies, offline handling, batching) and contribute to the scalability of platform-facing interfaces and services powering the SDKs.

• Security-First Engineering: You’ll embed best-in-class security practices directly into the SDK architecture, including secure communication, encrypted storage and rigorous input validation. Your work will help ensure safe integration pathways for all developers working with the Tether ecosystem.

• +6 years of experience working with Nodejs/JavaScript in production environments.

• Proven track record in designing and maintaining developer-facing SDKs (npm packages, API clients, or instrumentation libraries)

• Strong understanding of modular architecture, versioning strategies, and semantic API design

• Have actively participated in the development of a complex platform

• Experience with AI domain applications (RAG, Agents, Inference, AI SDKs)

• Ability to quickly learn new technologies

• Good understanding of security practices

• Familiar with Peer-to-Peer technologies (Kademlia, bittorent, libp2p)

• Comfortable with high-availability concepts

• Rust or C++ skills are a plus

• Familiarity with real-time data delivery (NodeJS/other streaming)

Overview

Design, develop, and deploy AI/ML models to solve business problems. Collaborate with cross-functional teams to identify opportunities for AI integration , translate client requirements into scalable AI-powered solutions , and provide consulting expertise on AI strategies, tools, and implementation. Stay up to date with the latest AI/ML frameworks, tools, and industry trends , ensuring solutions are robust, scalable, and aligned with business goals.

• Design, develop, and deploy AI/ML models to solve business problems.
• Collaborate with cross-functional teams to identify opportunities for AI integration .
• Translate client requirements into scalable AI-powered solutions .
• Provide consulting expertise on AI strategies, tools, and implementation.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends .
• Ensure solutions are robust, scalable, and aligned with business goals.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
• Strong programming skills in Python, R, or similar languages .
• Experience with TensorFlow, PyTorch, Keras, or other AI frameworks .
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
• Excellent problem-solving and consulting skills .
• Strong communication and ability to present AI solutions to non-technical stakeholders.

• Opportunity to work on cutting-edge AI projects .
• Collaborative and innovative work environment .
• Career growth and continuous learning opportunities .
• Be part of an international, forward-thinking team .

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

Reference Number: 381 Al Ain

Job Description:

• Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
• Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
• Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
• Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
• Provide timely, constructive feedback on student coursework, projects, and examinations.
• Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
• Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
• Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
• Perform any additional duties as requested by the Program Director or Dean.

General Conditions:

• 4+ years of professional experience in teaching AI-related subjects at the university level.
• Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
• Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
• Research published in reputable journals indexed in the Scopus database.
• A passion for mentoring students in research and supporting their academic and professional growth.

Job Purpose:

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proven hands-on experience in ML model training and production deployment .
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration .
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• End-to-end ownership of ML model lifecycle.
• Strong analytical and problem-solving skills.
• Ability to bridge technical solutions with business impact.

Python and Kubernetes Software Engineer - Data/ AI/ML / Analytics

Posted 3 days ago

Full time

Dubai, AE

Middle

Salary Range:To be discussed

Full Job Description

Summary

Canonical seeks Python & Kubernetes Engineers for open-source AI/ML solutions on Ubuntu, fostering global collaboration in tech, data, and cloud innovation.

Description

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu , is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.

Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing.

We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform.

These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based in EMEA, Americas and APAC time zones, so we can accommodate candidates in almost any location. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like
Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
Master distributed systems concepts such as observability, identity, tracing
Work with both Kubernetes and machine-oriented open source applications
Collaborate proactively with a distributed team of engineers, designers and product managers
Debug issues and interact in public with upstream and Ubuntu communities
Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you
Professional or academic software delivery using Python or Golang
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
Hands-on experience with machine learning libraries, or tools.
Proven track record of building highly automated machine learning solutions for the cloud.
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on an open source project

What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events

About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Python and Kubernetes Software Engineer - Data/ AI/ML / Analytics

Posted 2 days ago

Location: Dubai, AE

Salary Range: To be discussed

Summary

Canonical, leader in open source, seeks engineers for data and AI/ML solutions. Work globally on Ubuntu-based projects with top tech. Join a diverse, collaborative team with growth potential.

Description

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT.

Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in interesting locations around the world to align on strategy and execution. The company is founder-led, profitable, and growing.

Role Overview: We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform.

What your day will look like:

1. Develop your understanding of the entire Linux stack, from kernel, networking, and storage to the application layer.
2. Design, build and maintain solutions that will be deployed on public and private clouds and local workstations.
3. Master distributed systems concepts such as observability, identity, and tracing.
4. Work with both Kubernetes and machine-oriented open source applications.
5. Collaborate proactively with a distributed team of engineers, designers, and product managers.
6. Debug issues and interact in public with upstream and Ubuntu communities.
7. Generate and discuss ideas, and collaborate on finding good solutions.

What we are looking for in you:

1. Professional or academic software delivery using Python or Golang.
2. Exceptional academic track record from both high school and university.
3. Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
4. Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
5. Track record of going above-and-beyond expectations to achieve outstanding results.
6. Passion for technology evidenced by personal projects and initiatives.
7. The work ethic and confidence to shine alongside motivated colleagues.
8. Professional written and spoken English with excellent presentation skills.
9. Experience with Linux (Debian or Ubuntu preferred).
10. Excellent interpersonal skills, curiosity, flexibility, and accountability.
11. Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation.
12. Thoughtfulness and self-motivation.
13. Result-oriented, with a personal drive to meet commitments.
14. Ability to travel twice a year for company events up to two weeks long.

Additional Skills That Would Be Nice To Have:

1. Hands-on experience with machine learning libraries or tools.
2. Proven track record of building highly automated machine learning solutions for the cloud.
3. Experience with container technologies (Docker, LXD, Kubernetes, etc.).
4. Experience with public clouds (AWS, Azure, Google Cloud).
5. Working knowledge of cloud computing.
6. Passionate about software quality and testing.
7. Experience working on an open source project.

What we offer colleagues:

1. Distributed work environment with twice-yearly team sprints in person.
2. Personal learning and development budget of USD 2,000 per year.
3. Annual compensation review.
4. Recognition rewards.
5. Annual holiday leave.
6. Maternity and paternity leave.
7. Employee Assistance Programme.
8. Opportunity to travel to new locations to meet colleagues.
9. Priority Pass and travel upgrades for long haul company events.

About Canonical: Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer: We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Python and Kubernetes Software Engineer - Data/ AI/ML / Analytics

Posted 3 days ago

Full time

Dubai, AE

Middle

Salary Range: To be discussed

Full Job Description

Summary

Canonical, the firm behind Ubuntu, seeks Python and Kubernetes engineers for AI/ML. They offer remote work, team sprints, and benefits, promoting open-source tech innovation globally.

Description

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.

The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.

Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

Location: This initiative spans many teams that are home-based in EMEA, Americas and APAC time zones, so we can accommodate candidates in almost any location.

What your day will look like:

1. Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
2. Design, build and maintain solutions that will be deployed on public and private clouds and local workstations.
3. Master distributed systems concepts such as observability, identity, tracing.
4. Work with both Kubernetes and machine-oriented open source applications.
5. Collaborate proactively with a distributed team of engineers, designers, and product managers.
6. Debug issues and interact in public with upstream and Ubuntu communities.
7. Generate and discuss ideas, and collaborate on finding good solutions.

What we are looking for in you:

1. Professional or academic software delivery using Python or Golang.
2. Exceptional academic track record from both high school and university.
3. Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
4. Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
5. Track record of going above-and-beyond expectations to achieve outstanding results.
6. Passion for technology evidenced by personal projects and initiatives.
7. The work ethic and confidence to shine alongside motivated colleagues.
8. Professional written and spoken English with excellent presentation skills.
9. Experience with Linux (Debian or Ubuntu preferred).
10. Excellent interpersonal skills, curiosity, flexibility, and accountability.
11. Appreciative of diversity, polite and effective in a multi-cultural, multi-national organization.
12. Thoughtfulness and self-motivation.
13. Result-oriented, with a personal drive to meet commitments.
14. Ability to travel twice a year, for company events up to two weeks long.

Additional Skills That Would Be Nice To Have:

1. Hands-on experience with machine learning libraries, or tools.
2. Proven track record of building highly automated machine learning solutions for the cloud.
3. Experience with container technologies (Docker, LXD, Kubernetes, etc.)
4. Experience with public clouds (AWS, Azure, Google Cloud)
5. Working knowledge of cloud computing.
6. Passionate about software quality and testing.
7. Experience working on an open source project.

What we offer colleagues:

1. Distributed work environment with twice-yearly team sprints in person.
2. Personal learning and development budget of USD 2,000 per year.
3. Annual compensation review.
4. Recognition rewards.
5. Annual holiday leave.
6. Maternity and paternity leave.
7. Employee Assistance Programme.
8. Opportunity to travel to new locations to meet colleagues.
9. Priority Pass, and travel upgrades for long-haul company events.

About Canonical:

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical is an equal opportunity employer: We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

• Build, train, and optimize machine learning models for various use cases.
• Research and integrate Large Language Models (LLMs) and agent-based AI systems.

• Develop scalable applications or platforms to host AI/ML models.
• Implement APIs or integrations to enable seamless interaction with AI systems.

• Collaborate with cross-functional teams to define product requirements and workflows.
• Ensure high-quality delivery by testing and debugging applications and models.

• Identify technical challenges and propose innovative solutions.
• Optimize performance and scalability of AI models and applications.

• Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
• Experiment with state-of-the-art frameworks and libraries.

• Proficiency in Python and at least one other programming language (e.g., C , Java , etc.).
• Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

• Hands-on experience in building and deploying web or desktop applications.
• Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

• Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
• Experience working with real-world datasets and developing models to solve practical problems.

• Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
• Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

• Strong analytical and critical thinking abilities to solve complex problems efficiently.
• Ability to work independently or in a team to deliver innovative solutions under deadlines.

• Hands-on experience in designing and deploying AI-powered products from scratch.
• Exposure to cutting-edge AI technologies and frameworks.
• Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid