AI Research - Internship

Synergy Labs Ltd; Gurugram District; On-site; INR 112,000 - 167,000; Full time

Benefits offered by this job

Certificate

5 days a week

Job summary

Synergy Labs in Gurgaon is offering a full-time in-office internship focused on generative AI agents, LLMs, and autonomous multi-agent systems. You will map the landscape, evaluate tools, prototype basic workflows, and prepare reports for internal knowledge sharing.

Ideal candidates are Computer Science students with a strong interest in AI and research, who can start mid-October to late November for a six‑month stint, with a stipend of INR 15,000 per month and potential mentorship toward a

Qualifications

• Pursuing a degree in Computer Science, AI/ML, Data Science, or a related field.
• Strong interest in AI, LLMs, and multi-agent systems.
• Knowledge of generative AI concepts, OpenAI APIs, LangChain, LlamaIndex, or similar tools (bonus if hands-on).
• Experience with Python and familiarity with prompt engineering or fine-tuning models is a plus.
• Ability to read and summarize research papers effectively.
• Excellent analytical, writing, and presentation skills.
• A curious mindset, willing to experiment, learn, and share knowledge.

Responsibilities

• Conduct comprehensive research on generative AI agents, LLM-based agents and autonomous agent frameworks.
• Analyze recent papers, blogs, GitHub projects, and industry updates related to AI agents.
• Benchmark and compare agent frameworks and toolkits for performance, capabilities, and real-world applications.
• Support the team in prototyping basic agent workflows and simulations.
• Prepare detailed reports, documentation, and presentation materials for internal knowledge sharing.
• Identify gaps, opportunities, and potential use cases for AI agents in specific industries (e.g., e-commerce, finance and customer support).
• Assist in writing proof-of-concept code (Python, JS, or any relevant language) to test different agent architectures.

Skills

Python

Machine Learning

Generative AI

Education

CS/AI/DS student

Tools

OpenAI APIs

LangChain

LlamaIndex

Job description

About the internship:

We are a technology-driven startup exploring the future of AI-powered agents and automation. Our mission is to build scalable solutions using cutting-edge generative AI, LLMs, and autonomous agents that solve real-world problems. Join us if you're curious, innovative, and ready to get your hands dirty with AI research! As a research intern, you will dive deep into the world of generative AI agents, large language models (LLMs), and autonomous multi-agent systems. You'll help us map the landscape, explore technical capabilities, evaluate tools, and contribute to prototype development.

Selected intern's day-to-day responsibilities include:

1. 1. Conduct comprehensive research on generative AI agents, LLM-based agents and autonomous agent frameworks.
2. 2. Analyze recent papers, blogs, GitHub projects, and industry updates related to AI agents.
3. 3. Benchmark and compare agent frameworks and toolkits for performance, capabilities, and real-world applications.
4. 4. Support the team in prototyping basic agent workflows and simulations.
5. 5. Prepare detailed reports, documentation, and presentation materials for internal knowledge sharing.
6. 6. Identify gaps, opportunities, and potential use cases for AI agents in specific industries (e.g., e-commerce, finance and customer support).
7. 7. Assist in writing proof-of-concept code (Python, JS, or any relevant language) to test different agent architectures.

Who can apply:

Only those candidates can apply who:

1. are available for full time (in-office) internship
2. can start the internship between 16th Oct'26 and 20th Nov'26
3. are available for duration of 6 months
4. are from Gurgaon only
5. have relevant skills and interests
6. Women wanting to start/restart their career can also apply.
7. are Computer Science Engineering students

Stipend:

INR₹ 10,000 - 15,000 /month

Deadline:

2026-11-15 23:59:59

Other perks:

Certificate, 5 days a week

Skills required:

Python, Machine Learning, Artificial intelligence and Generative AI Development

Other Requirements:

1. 1. Pursuing a degree in Computer Science, AI/ML, Data Science, or a related field.
2. 2. Strong interest in AI, LLMs, and multi-agent systems.
3. 3. Knowledge of generative AI concepts, OpenAI APIs, LangChain, LlamaIndex, or similar tools (bonus if hands-on).
4. 4. Experience with Python and familiarity with prompt engineering or fine-tuning models is a plus.
5. 5. Ability to read and summarize research papers effectively.
6. 6. Excellent analytical, writing, and presentation skills.
7. 7. A curious mindset, willing to experiment, learn, and share knowledge.

About Company:

Synergy Labs is a Gurgaon-based specialized artificial intelligence solution provider focusing on smart policing solutions using computer vision. Synergy Labs has delivered custom-made machine learning solutions tailored to business needs and requirements in various industries, systematically designed by applying MIT's approach to design thinking to deliver a scalable product that exceeds customer expectations. Our team of 20+ AI researchers and developers use the latest technologies, frameworks & hi-tech methodologies to offer impeccable and quality services globally. We help our clients worldwide to deliver their vision to their numerous customers effortlessly. Our services & solutions are designed for large-scale businesses as well as start-ups.

Additional information:

• 1. The research intern - generative AI agents role is a 3–6 month internship based in Gurugram, offering a monthly stipend of INR 15,000, and is designed for candidates interested in hands‑on research and practical exposure to generative AI systems and agent‑based technologies.
  2. Exposure to the latest advancements in generative AI agents and autonomous systems.
  3. Hands‑on research and prototyping experience.
  4. Opportunity to work closely with founders and tech leads.
  5. Career mentorship in AI/ML and potential full-time conversion for top performers.