AI engineer with Agentic experience

Project Description:

• Luxoft is initiating development of a solution to generate investment insights from sales and research materials. The solution uses advanced Agentic AI to reduce the time it takes to prepare for client meetings and improve the quality of insights.

Responsibilities:

• Work closely with the business team, business analysts, and architects and be able to quickly understand the new requirements and help to 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 the analysis of the current solution. Assist in design peer reviews, code peer reviews, and building and unit testing functional enhancements. Identify areas for code refactoring. Review and contribute to the development processes 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 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.

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 & 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/performance tuning.

Nice-to-Have Skills Description:

• 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

Languages:

• English: B2 Upper Intermediate