AI Agent Engineer Intern

About the Role

Key Responsibilities

• Explore open-ended Agentic AI problems and convert ideas into working prototypes.
• Build AI agents for enterprise workflows and complex business use cases.
• Design agent architectures, harnesses, and evaluation frameworks.
• Experiment with planning, memory architectures, and long-horizon reasoning.
• Benchmark agent tool usage, planning capabilities, and performance.
• Study agent failure modes and improve reliability.
• Develop human-in-the-loop agent systems.
• Build tools for evaluating and debugging AI agents.
• Contribute to research papers, technical reports, benchmarks, and reusable research infrastructure.
• Develop AI-powered tools for researchers, engineers, and enterprise users.
• Document technical findings and collaborate with research, engineering, and product teams.

Required Qualifications & Eligibility

• Strong programming skills, preferably in Python.
• Hands-on experience with Large Language Models (LLMs) or AI systems.
• Strong interest in Agentic AI, AI evaluation, alignment, interpretability, or enterprise AI.
• Ability to work on ambiguous and open-ended problems.
• Ability to build prototypes quickly and experiment with new ideas.
• Willingness to read research papers and technical documentation.
• Good technical documentation and communication skills.
• Ability to independently identify valuable problems and potential solutions.

Required Technical Skills & Tools

• Programming: Python preferred.
• Artificial Intelligence: Large Language Models (LLMs), AI systems, Agentic AI.
• Agent Development: Agent architectures, tool use, planning, memory systems, and multi-step workflows.
• Evaluation: Agent evaluation frameworks, benchmarking, and failure analysis.
• Research: Reading technical papers, conducting experiments, and documenting findings.
• Specific frameworks and tools: Not specified.

Preferred Qualifications

• Experience with AI agent frameworks.
• Experience building long-horizon agents.
• Knowledge of evaluation pipelines and benchmarking.
• Participation in AI research projects.
• Contributions to open-source AI tools.
• Experience with backend systems and enterprise data.
• Knowledge of AI safety, alignment, and interpretability.
• Experience building research or product prototypes.

Benefits & Perks

• Opportunity to work on frontier Agentic AI problems.
• Exposure to applied AI research and enterprise AI use cases.
• Opportunity to contribute to research-quality work and real-world AI systems.
• Hands-on experience with agent evaluation, alignment, and interpretability.
• Opportunity to work with research, engineering, and product teams.

Job Title

Company

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Work Mode

• Remote
• Employment Type: Part-Time Internship

Experience Level

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Salary and other benefits

Internship duration

Work mode

• Remote.
• Employment type: Part-time.

Location shown on LinkedIn

• Mumbai Metropolitan Region.
• The internship offers three possible contribution tracks:
• Applied Agentic AI: Enterprise workflow agents, decision-support systems, and human-in-the-loop agents.
• Agent R&D and Evaluation: Agent architectures, evaluation frameworks, benchmarks, and research infrastructure.
• Product and Tooling Agents: AI-powered tools such as alignment workflow agents, AI Scientist-style agents, and agent debugging tools.