AI Agent Engineer Intern

Round 1: Technical interview covering coding and AI concepts → Round 2: Technical + product fit interview focusing on agent design and evaluation → Round 3: HR interview

Lexsi Labs fosters a fast‑moving, research‑driven culture where ideas are valued over polish. Employees enjoy autonomy, ownership of projects, and the opportunity to turn ambiguity into meaningful outcomes. The lab emphasizes continuous learning, mentorship, and a collaborative environment that balances deep technical work with real‑world impact.

Lexsi Labs interviews typically involve three rounds: an initial technical coding test, a second round focusing on AI agent concepts and problem‑solving, and a final HR discussion. Questions often revolve around LLM integration, agent design, evaluation metrics, and real‑world application scenarios. Demonstrating clear reasoning, a strong grasp of Python, and a passion for agentic AI usually leads to success.

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; minimum 70% (or equivalent CGPA 8.0+) in the qualifying year; no backlogs; eligible for internship programs; strong programming background in Python; interest in AI agents, evaluation, alignment, or enterprise AI.

Lexsi Labs is a frontier AI laboratory dedicated to building aligned, interpretable, and safe AI systems for real‑world deployment. The organization’s research portfolio spans agentic AI, alignment, interpretability, evaluation systems, enterprise AI, and foundational model research across structured, tabular, and proprietary data. Transparency, auditability, robustness, and controllability are treated as first‑class constraints, ensuring that every system is not only powerful but also trustworthy. The AI Agent Engineer Intern role invites candidates to tackle high‑impact agentic AI problems across applied, research, and product domains. Interns will not be confined to building small internal bots; instead, they will work on real agentic systems, evaluation infrastructure, enterprise use cases, research prototypes, and product tooling that can shape how AI agents are built, tested, aligned, and deployed. Depending on interests, interns may contribute to one or more of three tracks: Applied Agentic AI, Agent R&D and Evaluation, or Product and Tooling Agents. Key responsibilities include: 1. Designing and prototyping enterprise workflow agents that reason over complex tasks. 2. Building evaluation frameworks to benchmark tool use, planning, and long‑horizon reasoning. 3. Developing harnesses for new agent architectures and studying failure modes. 4. Creating product‑grade tooling that improves researcher and engineer productivity. 5. Integrating LLMs with structured and proprietary data sources. 6. Collaborating with research, engineering, and product teams to iterate on prototypes. 7. Documenting findings, experiments, and design decisions. 8. Contributing to research papers, technical reports, or internal knowledge bases. 9. Maintaining clean, version‑controlled codebases. 10. Participating in code reviews and knowledge sharing sessions. The technical stack revolves around Python, large language models, agent frameworks such as LangChain or custom harnesses, evaluation pipelines, cloud services (AWS/GCP), Git, Docker, and data connectors for enterprise systems. Strong programming skills, a passion for agents, and a willingness to tackle ambiguous problems are essential. Growth opportunities are abundant: interns can progress to research engineers, product engineers, or research scientists, publish papers, contribute to open‑source projects, and lead cross‑functional initiatives. The fast‑moving, research‑driven environment encourages ownership, rapid prototyping, and the translation of ideas into production‑grade components. Why join Lexsi Labs? The lab offers a chance to work at the frontier of agentic AI, collaborate with world‑class researchers, and build systems that have tangible real‑world impact. Flexible remote work, part‑time scheduling, and a culture that values substance over polish make this internship an ideal launchpad for aspiring AI professionals.