Artificial Intelligence Engineer

Job Description

AI Agent Engineer(2-4 Years) | Noida(Onsite/Flexible work mode) Keyskills: LLM -powered applications or agentic systems, Strong proficiency in Python, AI-agents( LangChain and/or LlamaIndex), RAG, Vector databases (Pinecone / ChromaDB / FAISS), FastAPI or Flask for API orchestration, Integration OpenAI or HuggingFace models, MongoDB or PostgreSQL, Strong debugging, problem-solving, and evaluation of agents ? What You?ll Work On Build and scale LLM-powered conversational agents & autonomous workflows across our Tutor, Coach & Buddy products. Develop RAG pipelines , contextual memory systems, embeddings, and tool-use logic. Integrate multimodal capabilities ? text, voice, image, video ? into learning assistants. Collaborate with cross-functional teams to optimise UX, agent behaviour & pedagogy alignment. Build evaluation frameworks for accuracy, safety, moderation & personalisation. Continuously experiment with emerging LLMs, frameworks, SDKs & APIs . Contribute to our internal AI Agent SDK , reusable components & Dev tooling. Support A/B testing, telemetry, analytics, safety, hallucination reduction initiatives. ? Must-Have Skills 2?4 years building AI/LLM-based apps, chatbots, or agentic systems . Strong understanding of LLM architecture, embeddings, vector DBs, RAG . Hands-on with Python , and frameworks like LangChain, LlamaIndex, OpenAI, HuggingFace . Experience with API integration, FastAPI/Flask , and databases ( MongoDB/Postgres ). Familiarity with prompt engineering , agent design patterns & evaluation metrics. Strong debugging, problem-solving, and documentation skills. ? Preferred / Bonus Skills Tools: Pinecone, ChromaDB, FAISS, Weights & Biases, PromptLayer, LangFuse Cloud: AWS/GCP/Azure , CI/CD: GitHub Actions/Jenkins Nice to have: TypeScript, multi-agent systems, graph memory, voice agents, STT/Emotion analysis EdTech exposure, personalization models, adaptive learning systems ? What You Get Chance to shape the AI foundation of a fast-scaling edtech company Ownership, autonomy & opportunity to work on cutting-edge agentic AI Flexible hybrid work & a mission-driven, research-oriented culture