Project description

We are seeking a hands-on GenAI Engineer to join a team developing production-grade, AI-powered solutions for a major US insurance provider. The role involves designing and delivering end-to-end LLM-based applications, including scalable backend APIs, agentic workflows, deployment, monitoring, and observability. You will support our client in applying generative AI to key insurance processes such as underwriting, claims, and customer service.

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 GCP).

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.

Nice to have

Experience in the insurance or broader financial services domain.

Knowledge of LLM evaluation techniques (automated evals, LLM-as-judge, guardrails).

Experience with Kubernetes and infrastructure-as-code (Terraform, Bicep).

Familiarity with data privacy and compliance requirements for handling PII in regulated industries.

Experience with asynchronous Python, message queues or event-driven architectures.

Frontend experience (React, Streamlit) for building internal AI tools and demos.

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

Related jobs

View all vacancies

Technical Architect/Technical Team Lead

Software/System Architecture

Ukraine

Remote Ukraine

Technical Architect/Technical Team Lead

Software/System Architecture

Ukraine

Remote Ukraine

Technical Architect/Technical Team Lead

Software/System Architecture

Ukraine

Remote Ukraine

Remote United States, United States of America

Req. VR-125338

Software/System Architecture

Cross Industry Solutions

01/10/2026

Req. VR-125338

Apply for Senior GenAI Engineer in Remote United States

*Indicates a required field

First name

Last name

Your country

Your City

Phone

Specialization

Attach your resume (max file size 1MB; allowed extensions: doc, txt, pdf, docx) Upload resume

Number of years of experience in the specialization you are applying for

What are your monthly gross salary expectations?

Read Explanatory Notes

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.

Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.

We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.

With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.

Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.

Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.

By clicking the Agree and Send button, you consent that Luxoft Holding Inc. can process your provided personal data for the purpose of processing your application to establish a potential employment, internship or relocation with Luxoft Holding Inc., a relevant affiliate of the Luxoft Group or Luxoft Group’s clients, as applicable. You consent to the retention of your personal data, with the purpose of contacting you for potential future employment opportunities. If you refer a friend, we will process your provided personal data of you and your referral to award you with a bonus for such recommendation. You can withdraw your consent at any time with effect for the future. Before you consent, please click on „Read these Explanatory Notes“ and view our Privacy Notice (e.g. for your data subject rights).

Note: Our system automatically converts each CV into our standardized format, enabling our HR teams to process applications more efficiently.

I consent that Luxoft Holding Inc. and the affiliates of the Luxoft Group can process my personal data for the purpose of sending me regular emails with information about Luxoft as an employer including job vacancies and (ii) marketing communications with information about recruitment-related events, organized webinars, conferences, as well as the Logeek Magazine and other similar publications. I can withdraw my consent at any time with effect for the future. These communications are personalised to my interests in accordance with our Privacy Notice.

Related Jobs

All jobs