Python Developer

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, quickly understand new requirements and help identify changes to the system. Collaborate daily with the development team, designers, copy writers, and other IT teams. Develop and present recommendations from analysis of the current solution; assist in design and code peer reviews; build and unit test functional enhancements; identify areas for code refactoring; review and contribute to development processes and procedures to assist in continual improvement of the team activities. Offer solutions and designs to solve process, project, or program issues; provide recommendations to improve efficiency and effectiveness; defend recommendations with confidence. Strong organization, communication, and interpersonal skills; communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal. Must exhibit technical thought leadership and excellent problem‑solving ability, with an aptitude for technical innovation. Mandatory Skills Description 5+ 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 and 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. Experience with AgentCore, AWS Neptune, Amazon API Gateway. Git workflows and CI/CD pipelines. Debugging and problem‑solving skills with strong ownership across the software development life cycle. Generative AI & ML Requirements Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, cost and performance tuning. Nice‑to‑Have Skills Description Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine‑tuning/LoRA, prompt and 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. #J-18808-Ljbffr