Lexsi Labs is Hiring AI Agent Engineer Interns | Remote | Part-Time | Freshers & Students Can Apply
Job Description
Lexsi Labs is hiring AI Agent Engineer Interns for its Applied AI team. This remote part-time internship is ideal for students, fresh graduates, and aspiring AI engineers who are passionate about Large Language Models (LLMs), AI Agents, Python, AI Research, Enterprise AI, Alignment, and Generative AI.
As an AI Agent Engineer Intern, you will work on real-world agentic AI systems, build intelligent AI agents, develop evaluation frameworks, contribute to AI research, and create innovative AI-powered products that solve enterprise-scale problems.
𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Lexsi Labs
𝐑𝐨𝐥𝐞: AI Agent Engineer Intern
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Remote (India)
𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭: Applied AI
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Part-Time Internship
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Freshers, Students & Early Career Professionals
𝐀𝐛𝐨𝐮𝐭 𝐋𝐞𝐱𝐬𝐢 𝐋𝐚𝐛𝐬
Lexsi Labs is a frontier AI research lab focused on building safe, interpretable, and enterprise-ready AI systems. The company works across Agentic AI, AI Alignment, Interpretability, Evaluation Systems, Enterprise AI, and Foundation Model Research to create transparent, reliable, and production-ready AI solutions.
𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰
As an AI Agent Engineer Intern, you will contribute to building intelligent AI agents, enterprise automation solutions, evaluation frameworks, and AI-powered developer tools. You'll collaborate with research, engineering, and product teams while working on real-world AI challenges that move beyond simple chatbot development.
Roles & Responsibilities
- Build AI agents for enterprise workflows and real-world applications.
- Develop multi-step reasoning and tool-using AI systems.
- Design AI evaluation frameworks and benchmarking pipelines.
- Research agent architectures, planning strategies, and memory systems.
- Build AI-powered developer and researcher productivity tools.
- Create prototypes for enterprise AI products.
- Analyze AI agent performance and identify failure modes.
- Read research papers and implement new AI techniques.
- Document technical findings and experimental results.
- Collaborate with research, engineering, and product teams.
Qualifications & Eligibility
- Students, fresh graduates, and early-career professionals can apply.
- Strong programming skills in Python.
- Interest in LLMs, AI Agents, Generative AI, or Machine Learning.
- Ability to build prototypes and solve open-ended technical problems.
- Strong analytical, research, and communication skills.
Skills Required
- Python
- Large Language Models (LLMs)
- AI Agents
- Prompt Engineering
- Machine Learning
- Problem Solving
- AI Research
- Backend Development
- Communication Skills
- Technical Documentation
𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
- LangChain
- LangGraph
- CrewAI
- OpenAI API
- AI Evaluation Frameworks
- AI Alignment
- Interpretability
- RAG
- Enterprise AI
- Open Source Contributions
𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐋𝐞𝐱𝐬𝐢 𝐋𝐚𝐛𝐬?
- Work on cutting-edge Agentic AI systems.
- Build real-world enterprise AI solutions.
- Gain hands-on experience with advanced LLM applications.
- Collaborate with AI researchers and experienced engineers.
- Contribute to research, benchmarks, and production-ready AI products.
- Work remotely with flexible part-time opportunities.
- Accelerate your career in Artificial Intelligence and Generative AI.
𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬
This internship provides an excellent foundation for careers such as:
- AI Engineer
- AI Agent Engineer
- Machine Learning Engineer
- Generative AI Engineer
- Applied AI Engineer
- LLM Engineer
- AI Research Engineer
- Backend AI Developer
- AI Platform Engineer
- Research Scientist
𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?
- B.E./B.Tech, B.Sc., M.Sc., MCA, M.Tech, and PhD students or graduates.
- Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, and related discipline students.
- Candidates with Python projects, AI internships, hackathons, or open-source contributions.
- Individuals passionate about LLMs, AI Agents, Enterprise AI, and AI Research.
- Aspiring engineers looking to build a career in cutting-edge Artificial Intelligence and Agentic AI.
Apply for this Position
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