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6 days ago
As a seasoned leader in technology, you will spearhead the development and integration of cutting-edge applications powered by Large Language Models (LLMs). This is an exciting opportunity to collaborate with talented individuals and shape the future of artificial intelligence.
- Key Responsibilities:
- Architect and implement scalable LLM pipelines that drive innovation and efficiency.
- Design and develop high-performing microservices and APIs for AI-driven features.
- Collaborate closely with cross-functional teams to deploy and monitor AI models in production.
- Drive performance optimization, cost efficiency, and security in LLM workflows.
- Mentor and guide team members on Python best practices, code reviews, and technical problem-solving.
- Stay up-to-date on the latest advancements in AI/LLM research and propose adoption where beneficial.
- Strong expertise in Python programming language (FastAPI, Flask). Experience with popular frameworks and libraries.
- Deep understanding of LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex) and associated technologies.
- Knowledge of RAG pipelines and vector databases like Pinecone, Weaviate, FAISS, Milvus.
- Experience with prompt engineering & evaluation techniques. Familiarity with MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on cloud platforms (AWS, GCP, Azure). Containerization and orchestration using Docker and Kubernetes. RESTful APIs and GraphQL architecture.
- Excellent leadership and mentoring abilities. Strong analytical and problem-solving skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to thrive in a fast-paced, dynamic AI environment.
- Experience with agentic AI or Model Context Protocol (MCP) concepts. Background in data pipelines (ETL, streaming data).
- Understanding of AI security and compliance best practices.
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