Description

You will design, develop, and deploy Generative AI solutions, translating client requirements into scalable AI/GenAI architectures. This role is hybrid.

Responsibilities

• Build and integrate RAG pipelines, prompt frameworks, and embeddings using LLMs (OpenAI, Anthropic, Hugging Face).
• Fine-tune and customize foundation models for specific client use cases while ensuring performance, scalability, and cost efficiency.
• Develop Python-based solutions and integrate AI models with enterprise workflows, APIs, and client applications.
• Deploy and manage AI/ML infrastructure on AWS, Azure, and GCP, utilizing Git/GitHub and CI/CD workflows.
• Document solution designs and provide knowledge transfer to client and internal teams.

Required Skills

• 5+ years of experience with Python and Generative AI frameworks.
• Hands-on expertise with LLMs (OpenAI, Anthropic, Hugging Face) and Vector Databases (Pinecone, Weaviate, FAISS).
• Strong proficiency in cloud platforms: AWS, Azure, and GCP.
• Experience with CI/CD workflows and Git/GitHub.
• Ability to translate business requirements into technical AI solutions.

Preferred Skills

• Experience with MLOps practices and data engineering tools (Airflow, DBT, Spark).
• Domain expertise in Life Sciences or Healthcare applications.

Key Skills

Education

Bachelor's degree