Artificial Intelligence Engineer

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