The successful candidate will design, build, and deploy AI-powered applications including AI agents, copilots, retrieval-augmented generation (RAG) solutions, conversational assistants, and workflow automation platforms. This role requires a strong software engineering foundation combined with practical experience implementing production-ready AI systems within enterprise environments.
Experience
- 2+ years of experience building solutions using Agentic AI technologies and Generative AI frameworks.
- Relevant experience delivering production-ready AI applications from concept through deployment.
- Experience developing AI solutions within healthcare, pharmaceutical, life sciences, or regulated industries.
AI & Generative AI:
- Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation Frameworks.
- Experience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex
Programming & Development:
- Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks
Cloud & Data Platforms:
- experience with one or more
- Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services
Data & Integration:
- Any of the below or more
- Vector Databases, Azure AI Search, PostgreSQL, Snowflake
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Mid-Level