Senior GenAI Engineer: Scalable LLM Solutions Lead

Luxoft Poland; Polska; On-site; PLN 180,000 - 300,000; Full time

Job summary

Luxoft Poland seeks a hands-on GenAI Engineer to design and deliver production-grade AI-powered solutions for an insurance client. You will build scalable Python/FastAPI backends, integrate LLMs (OpenAI GPT, Anthropic Claude) and extend MCP servers to expose enterprise tools to AI agents.

You will design RAG pipelines, agentic workflows, and observability across the stack, ensuring security and data privacy while collaborating with stakeholders to turn requirements into working solutions.

Qualifications

• 4+ years of professional software development experience focusing on Python.
• Experience building production REST APIs with FastAPI or similar frameworks.
• Hands-on experience integrating LLMs (OpenAI GPT, Anthropic Claude) into real apps.
• Practical MCP server (FastMCP preferred) and LLM tool ecosystems (Skills, Plugins).
• Proven experience designing and implementing RAG pipelines.
• Experience building agentic workflows with LangChain, LangGraph, LlamaIndex or similar.
• Hands-on with at least one vector DB (e.g., Pinecone, Weaviate, Qdrant, Chroma, pgvector, Azure AI Search).
• Experience with observability/diagnostics for LLM systems (LangSmith, Langfuse, Arize Phoenix, OpenTelemetry).
• Experience deploying/running apps in production: Docker, CI/CD, and major cloud (AWS/Azure/GCP).
• Daily use of VS Code and AI coding assistants (Claude, Codex).
• Strong software engineering practices: clean code, testing, code reviews, Git.

Responsibilities

• Design, develop and maintain scalable backend services and APIs using Python and FastAPI.
• Integrate LLM-powered features with OpenAI GPT and Anthropic Claude in real apps.
• Develop MCP servers (FastMCP) to expose tools/data to AI agents.
• Create Skills and Plugins to extend LLM capabilities for workflows.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines with ingestion, embedding and retrieval.
• Build agentic workflows using LangChain, LangGraph or similar frameworks.
• Work with vector databases to enable semantic search and knowledge retrieval.
• Implement observability and diagnostics for LLM apps: tracing, logging, evaluation, token costs, latency.
• Own full lifecycle: development, testing, deployment and production support.
• Use AI-assisted tools (Claude, Codex) to accelerate delivery while keeping code quality.
• Collaborate with stakeholders to translate requirements into working solutions.
• Ensure enterprise security, data privacy and responsible AI standards.

Skills

Python

FastAPI

OpenAI GPT

Anthropic Claude

MCP servers

FastMCP

RAG pipelines

LangChain

LangGraph

LlamaIndex

Vector databases

Pinecone

Weaviate

Qdrant

Chroma

pgvector

Azure AI Search

Docker

CI/CD

AWS

Azure

GCP

VS Code

Codex

Git

English (B2+)

Security & data privacy

Tools

Kubernetes

Terraform

Bicep

LangSmith

Langfuse

Arize Phoenix

OpenTelemetry

Job description

Luxoft Poland seeks a hands-on GenAI Engineer to design and deliver production-grade AI-powered solutions for an insurance client. You will build scalable Python/FastAPI backends, integrate LLMs (OpenAI GPT, Anthropic Claude) and extend MCP servers to expose enterprise tools to AI agents.

You will design RAG pipelines, agentic workflows, and observability across the stack, ensuring security and data privacy while collaborating with stakeholders to turn requirements into working solutions.