Fika Artificial Intelligence Research

Role & responsibilities Role Overview : As a Generative AI Engineering Intern , you will work on: Designing and developing autonomous AI agents Implementing large-scale reasoning and tool-use pipelines Building backend systems powering agent orchestration Working with cutting-edge models (OpenAI, Gemini, Anthropic) Using frameworks like LangGraph, LangChain, FastAPI, and vector DBs This internship is ideal for someone who wants real, production-level experience in building agentic systems. Key Responsibilities Build and deploy AI agents capable of multi-step reasoning and execution Implement LLM orchestration (RAG, tools, functions, memory) Develop backend services using Python, FastAPI, MongoDB Integrate latest LLM APIs and optimize workflows Collaborate with engineers on agent architecture and tooling Preferred candidate profile Education B.Tech / B.E. in CSE, IT, ECE, AI/ML, Data Science (or currently pursuing final year) Diploma / BCA / MCA candidates with strong AI skills are also welcome Self-taught developers with strong GitHub projects are highly encouraged Experience 01 year experience (Freshers welcome) Prior internship or personal projects in AI/ML, LLMs, or backend development preferred Technical Skills Strong Python programming Familiarity with LLM frameworks: LangChain, LangGraph (preferred) Understanding of RAG, embeddings, vector databases Basic knowledge of FastAPI, REST APIs, MongoDB Solid understanding of data structures, APIs, Git, and Linux Bonus: knowledge of OpenAI, Gemini, Anthropic APIs Attributes Strong problem-solving and debugging ability Eagerness to learn frontier AI technologies Ability to work in a fast-paced, startup environment Ownership mindset with clear communication Preferred Candidates with GitHub repos demonstrating AI agents, ML pipelines, or backend projects Students passionate about agentic AI, automation, and LLM architecture People who want a PPO and long-term growth in AI engineering