AI engineer with Agentic experience

Luxoft; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Luxoft Germany is seeking a senior software engineer to lead backend development in a cloud-based solution generating investment insights from sales and research materials. You will work with business stakeholders and cross-functional teams to translate requirements into scalable design and production-ready code.

The role emphasizes Python backend development, FastAPI API design, AWS cloud, and Generative AI capabilities such as building agents and integrating LLMs.

Qualifications

• 8+ years of professional software development experience.
• Strong backend development with Python; clean, maintainable production code.
• Production API design & delivery (FastAPI preferred) with OpenAPI/Swagger docs.
• Cloud experience (AWS) beyond core compute/storage/DB.
• Git workflows and CI/CD pipelines.
• Debugging & problem-solving skills with strong ownership across the SDLC.
• Generative AI & ML: experience building agents; vector databases, RAG, embeddings.
• LLM integration with prompt design, safety/guardrails, and cost/perf tuning.

Responsibilities

• Work with business teams, analysts and architects to understand requirements and identify changes to the system.
• Collaborate daily with development teams, designers, copy writers and other IT teams.
• Develop and present analysis-based recommendations; assist in design peer reviews and testing; identify refactoring opportunities.
• Offer solutions and designs to solve process or program issues; defend recommendations confidently.
• Communicate with business and technical audiences; produce design documents for multiple audience types.
• Exhibit technical thought leadership and strong problem-solving ability, with aptitude for technical innovation.

Skills

Python backend

FastAPI API design

AWS cloud

Git CI/CD

Debugging & ownership

Agent development

Vector databases & RAG

LLM integration

Tools

OpenAPI/Swagger

FastAPI

AWS Neptune

API Gateway

Job description

Project description

Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights.

Responsibilities

• Work closely with business team, business analysts, and architects and be able to quickly understand the new requirements and helps to identify the changes to the system.
• Work closely on a day-to-day basis with development team, designers, copy writers and other IT teams.
• The role develops and presents recommendations from analysis of current solution. Assist in design peer reviews, code peer reviews, build and unit test functional enhancements. Identify areas for code refactoring. Review and contribute to development process and procedures to assist in the continual improvement of the development team activities.
• Be able to offer solutions and designs to solve process, project or program issues; provides recommendations to improve the efficiency and effectiveness. Defends a recommendation and can confidently support it.
• Strong organization, communication, and interpersonal skills. Ability to communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal-
• Must be able to exhibit technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation.

SKILLS

Must have

• Mandatory Skills Description:
• 8+ years of professional software development experience.
• Strong backend development experience with Python with a track record of clean, maintainable, testable production code.
• Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability.
• Cloud experience (AWS preferred) beyond core compute/storage/DB - e.g., eventing, queues, serverless, logging/monitoring, secrets.
• Git workflows and CI/CD pipelines
• Debugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements
• Experience building agents
• Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval).
• LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning.

Nice to have

• Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway
• Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
• Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing, API integration, component testing).
• Understanding of event-driven architectures