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Senior GenAI Engineer

Goldenpick Technologies LLCUnited States🇺🇸United States

Why this role stands out

This hybrid Senior GenAI Engineer role offers exciting opportunities to build cutting-edge AI solutions using advanced LLMs and develop impactful enterprise applications. You'll thrive here if you have strong Python and API development experience, a passion for LLM integration, and a desire to contribute to innovative projects within a collaborative environment. Apply today to advance your career in the rapidly evolving field of Generative AI!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
DockerFastAPIGitAWSGPTGoogle CloudLLMPhoenixPythonGenerative AIRESTAzurePrompt EngineeringCI/CDLangChainLangGraphRAGVisual Studio

Job description

Role: Senior GenAI Engineer
Location : Remote

Responsibilities
  • Design, develop and maintain scalable backend services and APIs using Python and FastAPI.
  • Build and integrate LLM-powered features using OpenAI GPT and Anthropic Claude models.
  • Develop and maintain MCP (Model Context Protocol) servers using FastMCP to expose enterprise tools and data to AI agents.
  • Create and extend Skills and Plugins that enhance LLM capabilities for business-specific workflows.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding and retrieval strategies.
  • Build agentic solutions using LLM orchestration frameworks such as LangChain, LangGraph or similar.
  • Work with vector databases to support semantic search and knowledge retrieval.
  • Implement observability and diagnostics for LLM applications: tracing, logging, evaluation, token and cost tracking, latency and quality monitoring.
  • Own the full application lifecycle: development, testing, deployment and production support.
  • Use AI-assisted development tools (Claude, Codex) to accelerate delivery while maintaining code quality.
  • Collaborate with client stakeholders, architects and business analysts to translate requirements into working solutions.
  • Ensure solutions meet enterprise standards for security, data privacy and responsible AI use.
Skills Must have
  • 4+ years of professional software development experience with a strong focus on Python.
  • Solid experience building production REST APIs with FastAPI (or a comparable framework).
  • Hands-on experience integrating LLMs (OpenAI GPT, Anthropic Claude) into real applications, including prompt engineering, tool/function calling and structured outputs.
  • Practical experience with MCP servers (FastMCP preferred) and LLM tool ecosystems (Skills, Plugins).
  • Proven experience designing and implementing RAG pipelines.
  • Experience building agentic workflows with orchestration frameworks such as LangChain, LangGraph, LlamaIndex or similar.
  • Hands-on experience with at least one vector database (e.g., Pinecone, Weaviate, Qdrant, Chroma, pgvector, Azure AI Search).
  • Experience with observability and diagnostics for LLM systems (e.g., LangSmith, Langfuse, Arize Phoenix, OpenTelemetry).
  • Experience deploying and running applications in production: Docker, CI/CD, and at least one major cloud platform (AWS, Azure or Google Cloud Platform).
  • Daily, confident use of modern development tools including VS Code and AI coding assistants such as Claude and Codex.
  • Strong understanding of software engineering best practices: clean code, testing, code review, version control (Git).
  • Upper-Intermediate (B2) or higher English, with the ability to communicate directly with US-based stakeholders.

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