Artificial Intelligence Engineer

1 week ago

Noida, Uttar Pradesh, India 585a8be8-c90a-464c-b0f6-1b629e32ec16 Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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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