Applied AI Engineer

Job Description

Key Responsibilities

• Design and build LLM-powered backend services/APIs (Python, FastAPI preferred)

• Design robust workflows with tool/function calling, retries, fallbacks, and guardrails

• Implement structured outputs with strong validation and schema-driven contracts

• Develop and maintain RAG pipelines with retrieval, ranking, and generation

• Write high-quality unit and integration tests, including LLM behavior regression tests

• Containerize and deploy services across dev/stage/prod environments

• Collaborate closely with product and engineering teams to ship iteratively

• Contribute to clean documentation, runbooks, and API contracts

Must-Have

• Strong Python and backend engineering fundamentals

• Experience with FastAPI (or similar) and RESTful API design

• Hands-on LLM integration experience (OpenAI, Anthropic, Azure OpenAI, etc.)

• Solid testing practices (pytest, mocking, integration tests)

• Working knowledge of Docker, Git, and CI pipelines

Good-to-Have

• Experience with vector databases and embeddings (FAISS, Pinecone, pgvector, etc.)

• Exposure to observability (logging, metrics, tracing)

• Cloud experience (AWS/Azure/GCP)

• Familiarity with async workflows and background job patterns

• Experience with TypeScript/React

EXPERIENCE

3-5 Years

Hyderabad (Hybrid)/India (Remote)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.