Description

You design, develop, and deploy Generative AI solutions using LLMs and enterprise workflows.

This role is hybrid.

Responsibilities

• Gather client requirements and translate them into AI/GenAI-based solutions.
• Design and deploy generative models using OpenAI, Anthropic, and Hugging Face.
• Build prompt frameworks, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Fine-tune foundation models for specific client use cases and ensure cost efficiency.
• Document solution architectures and provide knowledge transfer to internal teams.

Required Skills

• 4+ years of experience in AI/ML engineering.
• Strong proficiency in Python and GenAI frameworks.
• Experience with vector databases (Pinecone, Weaviate, FAISS).
• Proficiency with cloud platforms (AWS, Azure, GCP) for deployment.
• Hands-on experience with Git/GitHub and CI/CD workflows.
• Ability to integrate AI models with enterprise APIs and applications.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with ML Ops practices and data engineering tools (Airflow, DBT, Spark).
• Background in Life Sciences or Healthcare applications.

Key Skills

Education

Bachelor's degree