
Python Lead AI Specialist
1 day ago
- Pioneering the integration of Python-based applications with Large Language Models (LLMs)
- Designing and implementing LLM pipelines, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation
- Crafting scalable microservices and APIs for AI features
- Collaborating with Machine Learning Operations teams to deploy and monitor AI models in production
- Optimizing performance, cost efficiency, and security in LLM workflows
- Guiding the team on Python best practices, code reviews, and technical problem-solving
- Staying updated on emerging AI/LLM advancements and proposing adoption where beneficial
Mandatory Skills:
- Strong proficiency in Python (FastAPI, Flask)
- Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex)
- Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus)
- Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization
Optional Skills:
- Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills
- Effective communication with technical and non-technical stakeholders
- Ability to work in a fast-paced, evolving AI environment
- Experience with agentic AI or Model Context Protocol (MCP). Background in data pipelines (ETL, streaming data)
- Exposure to AI security & compliance practices. Prior work in scalable enterprise AI products
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