AI engineer with Agentic experience

Luxoft Holding; Los Angeles (CA); Presencial; USD 170 000 - 210 000; Tempo integral

Resumo da oferta

Luxoft is expanding its software engineering team in Los Angeles to build a cutting-edge investment-insights solution leveraging Agentic AI capabilities. The role focuses on backend development with Python, API design using FastAPI, and cloud integration on AWS, with emphasis on ML/LLM integration and agent-building.

You will work closely with business teams, analysts, and architects, delivering production-grade code, participating in peer reviews, and driving SDLC improvements across the

Qualificações

• 8+ years of professional software development experience.
• Strong Python backend development and production-grade code.
• Experience with API design, deployment, and observability.

Responsabilidades

• Collaborate with business analysts and architects to understand requirements.
• Develop and present recommendations; participate in design peer reviews.
• Contribute to code refactoring and SDLC improvements.
• Build robust APIs with FastAPI, including documentation.
• Solve problems with strong ownership across the SDLC.

Conhecimentos

Python backend development

API design (FastAPI)

Cloud experience (AWS)

Git workflows

CI/CD pipelines

LLM integration / agents

Vector databases / RAG

OpenAI/Azure OpenAI integration

Ferramentas

FastAPI

OpenAI API

Azure OpenAI

Descrição da oferta de emprego

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