Posted:2 weeks ago|
Platform:
Work from Office
Full Time
(Notice Period should not be more than 30 Days) Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.
Aelum Consulting
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