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
Regards,
Raj Dakshinapu | Recruiter, Dotcom Team LLC
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