
AI Technology Leader
22 hours ago
Job Overview
We are seeking a seasoned expert to lead the development and integration of Python-based applications with Large Language Models (LLMs). The ideal candidate will have strong proficiency in Python, experience with LLM integration, and knowledge of RAG pipelines.
Key Responsibilities:- Lead the development and integration of Python-based applications with LLMs.
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation, fine-tuning, and evaluation.
- Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production.
- Ensure performance optimization, cost efficiency, and security in LLM workflows.
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.
- 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.
Join us in shaping the future of AI innovation
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