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Artificial Intelligence Engineer

Artificial Intelligence Engineer

RecroMeerut (division)
4 days ago
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
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    Artificial Intelligence Engineer • Meerut (division)

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