AI Engineer

    Build production-grade AI features — LLM apps, RAG pipelines, and agents — that customers rely on.

    Python, FastAPI, LLMs Remote / Pune Full-time
    / 01

    Roles and Responsibilities

    • Design and ship LLM-powered features end-to-end with Python and FastAPI.
    • Build retrieval pipelines (RAG) with vector stores and hybrid search.
    • Develop agentic workflows using frameworks like LangGraph or AutoGen.
    • Define evaluation harnesses to track quality, cost, and latency.
    • Integrate observability and guardrails for safe production use.
    / 02

    Technical Skills

    • Strong Python and FastAPI background with production experience.
    • Hands-on with OpenAI, Anthropic, or open-source LLMs.
    • Experience with vector databases (pgvector, Pinecone, Weaviate).
    • Prompt engineering, function calling, and structured output design.
    • Familiarity with MLOps basics — eval, monitoring, versioning.
    / 03

    You should have

    • A pragmatic approach to AI — quality and cost matter as much as novelty.
    • Curiosity to keep up with a fast-moving ecosystem.
    • Comfort partnering with product to shape AI-native features.
    • Discipline around evaluation, not just vibes-based testing.

    Ready to join as a AI Engineer?

    Send us your application — we read every one.