What are the responsibilities and job description for the AI engineer position at Luxoft?
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.
Mandatory Skills Description:
- 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.
- Experience with AgentCore, AWS Neptune, Amazon API gateway
- 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.