Summary
✨ AI‑Generated
An AI engineering role focused on building intelligent solutions using modern AI approaches. The position involves collaborating with business and technical teams, designing enhancements, reviewing code, and improving software quality.
Highlights
Work on advanced AI solutions that improve business processes. Collaborate with multidisciplinary teams and contribute to architecture, development, and continuous improvement.
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 the quality of the insights.
Responsibilities:
Work closely with the business team, business analysts, and architects and be able to quickly understand the new requirements and help identify the changes to the system.Work closely on a day-to-day basis with the development team, designers, copywriters, and other IT teams.The role develops and presents recommendations from analysis of the current solution.
Assist in design peer reviews, code peer reviews, and build and unit test functional enhancements.
Identify areas for code refactoring.
Review and contribute to the 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; provide recommendations to improve 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 internalMust be able to exhibit technical thought leadership and excellent problem-solving ability, with an aptitude for technical innovation.
Mandatory Skills Description:
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 pipelinesDebugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements
Experience building agentsVector 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 Skills Description:
Highly desirable: experience with AgentCore, AWS Neptune, and Amazon API GatewayFamiliarity 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
Languages:
English: B2 Upper Intermediate
