Senior / Lead Python Developer - AI / LLM / ML

Requirements:

• Core Python Mastery: 8+ years of production experience writing clean, scalable, and maintainable Python (asyncio, design patterns, testing, performance profiling).
• LLM and Generative AI: Experience working with frameworks like LangChain, LlamaIndex, AutoGen, or Hugging Face Transformers, alongside commercial APIs (OpenAI, Anthropic).
• Vector Databases: Hands-on experience with vector search engines like Pinecone, Milvus, Qdrant, Chroma, or pgvector.
• Machine Learning Fundamentals: Strong knowledge of PyTorch or TensorFlow, scikit-learn, Pandas, NumPy, and model evaluation techniques.
• Cloud and Infrastructure: Proven experience deploying containerised AI workloads (Docker, Kubernetes) on cloud platforms (AWS, GCP, or Azure).
• Data and API Architecture: Experience with PostgreSQL, Redis, Kafka/RabbitMQ, and REST/gRPC interfaces.

Good-to-Have:

• Experience with LLM evaluation frameworks (Ragas, TruLens, Arize).
• Experience with local model serving frameworks (vLLM, Ollama, TGI).
• B. S. or M. S. in Computer Science, Data Science, Artificial Intelligence, or a related field.

Tech Stack:

• Primary Language: Python.
• AI/ML: PyTorch, Hugging Face, LangChain, LlamaIndex, vLLM.
• Databases: PostgreSQL, Redis, Qdrant / Pinecone.
• Frameworks: FastAPI, Flask, Celery.
• DevOps/MLOps: Docker, Kubernetes, MLflow, AWS/GCP.