Senior GenAI Engineer

Location: Remote Poland, Poland

Employment Type: FULL_TIME

Posted Date: 2026-10-05 00:00:00

Requisition Number: VR-125403

About the Position

We are seeking a hands-on GenAI Engineer to join a team developing production-grade, AI-powered solutions for a major US insurance provider. Designed and developed an enterprise-grade Generative AI platform using Python, FastAPI, and FastMCP to automate recruitment workflows and provide intelligent candidate insights. Built scalable, production-ready APIs that integrated with OpenAI GPT and Anthropic Claude models for candidate screening, resume analysis, job matching, and automated recruiter assistance.

Implemented RAG (Retrieval-Augmented Generation) pipelines using vector databases such as Pinecone/Milvus to provide context-aware responses from enterprise knowledge repositories. Developed AI Agents and custom plugins/skills to automate candidate engagement, interview scheduling, talent recommendations, and workflow orchestration.

Owned the complete application lifecycle, including architecture design, API development, deployment, monitoring, observability, logging, and performance optimization. Leveraged AI-assisted development tools such as Claude, Codex, and VS Code to accelerate development, debugging, code reviews, and delivery.

Responsibilities

• Design and deliver production-grade GenAI solutions using OpenAI GPT and Anthropic Claude models.
• Build agentic workflows using LLM orchestration frameworks such as LangChain, LangGraph or similar, including multi-step reasoning, tool use and human-in-the-loop patterns.
• Design and implement RAG pipelines covering document ingestion, chunking, embeddings, hybrid search, re-ranking and retrieval quality tuning.
• Develop MCP servers using FastMCP to expose enterprise tools and data to AI agents.
• Create and extend Skills and Plugins that adapt LLM capabilities to insurance-specific workflows.
• Work with vector databases to support semantic search and knowledge retrieval.
• Implement LLM evaluation, guardrails and safety controls, including hallucination detection, prompt injection protection and PII handling.
• Implement observability and diagnostics for LLM systems: tracing, evaluations, token and cost tracking, latency and quality monitoring.
• Build scalable backend APIs in Python and FastAPI that serve GenAI capabilities to client applications.
• Own the full lifecycle of GenAI applications: prototyping, development, deployment, monitoring and continuous improvement.
• Use AI-assisted development tools (Claude, Codex) as a core part of the daily engineering workflow.
• Advise client stakeholders on GenAI feasibility, solution design, cost and model selection.

Requirements

Must have

• GenAI experience (primary focus):
  • 2+ years of hands-on GenAI engineering experience, with at least one LLM-based solution delivered to production.
  • Deep practical experience integrating OpenAI GPT and Anthropic Claude: prompt engineering, tool/function calling, structured outputs, streaming and context management.
  • Proven experience designing, building and tuning RAG pipelines in real-world projects.
  • Hands-on experience building agentic solutions with LangChain, LangGraph, LlamaIndex or similar frameworks.
  • Practical experience with MCP servers (FastMCP preferred) and LLM extension mechanisms such as Skills and Plugins.
  • Hands-on experience with at least one vector database (e.g., Pinecone, Weaviate, Qdrant, Chroma, pgvector, Azure AI Search).
  • Experience with LLM observability and evaluation tooling (e.g., LangSmith, Langfuse, Arize Phoenix, OpenTelemetry).
  • Understanding of LLM limitations and risks: hallucinations, prompt injection, cost and latency trade-offs, and model selection.
• Engineering:
  • 4+ years of professional software development experience with a strong focus on Python.
  • Solid experience building production REST APIs with FastAPI.
  • Experience deploying and running applications in production: Docker, CI/CD and at least one major cloud platform (AWS, Azure or GCP).
  • Daily, confident use of VS Code and AI coding assistants such as Claude and Codex.
  • Upper-Intermediate (B2) or higher English, with the ability to communicate directly with US-based stakeholders.

Nice to have

• Experience applying GenAI in insurance or financial services (e.g., claims automation, document understanding, underwriting assistance).
• Experience with fine-tuning, embeddings optimization or open-source LLMs.
• Experience with multi-agent architectures and agent-to-agent communication.
• Kubernetes and infrastructure-as-code (Terraform, Bicep).
• Knowledge of responsible AI practices and compliance requirements for PII in regulated industries.

We Offer

• Relocation options
• Experience in an international environment
• Cross-cultural experience
• Feedback culture
• Regular appraisals
• Annual holiday - 20 or 26 days (depending on seniority)
• Occasional leave - 1 or 2 days (depending on circumstances)
• Child care leave - 2 days or 16 hours per year
• Absence due to force majeure - 2 days or 16 hours per year
• Maternity Leave - 20 weeks
• Parental Leave - 41 weeks
• Paternity Leave - 14 days
• Expert-led tech courses
• Internal instructor-led soft skills courses
• Comprehensive in-house self-learning resources
• Access to external self-learning libraries like ProQuest eBook and Udemy for Business
• Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
• Custom Learning Programs: upskilling, reskilling, technical mentorship
• Leadership Programs for Managers
• Multisport card
• Possibility to order Multisport card at the corporate rate for family members
• LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
• One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
• Preferential banking offer
• Preferential car leasing offer
• Cafeteria program discounts for shops, cinema tickets, holiday offers
• Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support
• Private Healthcare Insurance with unlimited access to specialists
• Full dental support
• Travel Insurance
• Possibility to add private healthcare coverage for family members at the corporate rate
• Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
• Reimbursement for corrective glasses
• Many fun social activities organized by the Luxoft team offline in your city
• Online entertainment events for the whole company and local team events
• A workplace where you’re treated with respect within a multicultural team
• Rotation between projects and accounts
• New career opportunities

About the Company

At DXC Luxoft, we are committed to delivering innovative AI-powered solutions that drive business value and enhance customer experiences. Our team is passionate about leveraging the latest technologies to create impactful solutions in the insurance and financial services sectors. Join us to be part of a dynamic and forward-thinking organization where your expertise will make a real difference.