AI Engineer
Posted on July 31, 2025
Job Description
- Position - AI Engineer
- Budget - 1 L
- * Total Experience: 7�8 years, with at least 3 years focused on core AI/ML engineering.
- * Design and implement LLM-powered systems using RAG, system prompts, and few-shot learning strategies.
- * Develop end-to-end AI microservices using Python, FastAPI, Pydantic v2, and SQLAlchemy.
- * Build scalable pipelines for document validation, multi-channel processing, and voice bot automation.
- * Integrate Vector DBs (e.g., FAISS, Chroma, Pinecone, Qdrant) for semantic search and memory in AI workflows.
- * Use LangChain and LlamaIndex for retrieval orchestration and agent-like capabilities.
- * Ingest, preprocess, and transform documents using tools like PyMuPDF, Unstructured, and APIs (e.g., Gmail,
- Xero).
- * Create and manage asynchronous tasks using Celery and deploy with Docker, GitHub Actions, and Render.com.
- * Build and manage secure, production-ready integrations with Google OAuth, Microsoft SSO, and Xero.
- * Optimize LLM usage, cost, and performance through careful prompt engineering, token management, and
- caching.
- Location: Remote
- Shift: 8 am-5 pm
- Contract: 3 months with extension
Required Skills
rag
system prompts
python
fastapi
pydantic v2