AI engineer with Agentic experience

Luxoft; United States; In loco; USD 130.000 - 180.000; Tempo pieno

Descrizione del lavoro

Luxoft is initiating the development of a solution to generate investment insights using advanced AI to shorten prep time for client meetings and improve insight quality. The role emphasizes backend development with Python, API design, and cloud expertise, working with cross-functional teams.

The candidate will contribute to architecture discussions, implement robust production code, and drive continuous improvement in development practices while aligning with business goals and client needs.

Competenze

• 8+ years of professional software development experience.
• Strong backend development with Python; clean, maintainable production code.
• Production API design & delivery (FastAPI preferred), with OpenAPI/Swagger docs.
• Cloud experience (AWS) beyond core services including serverless, logging/monitoring.
• Git workflows and CI/CD pipelines.

Mansioni

• Collaborate with business teams and architects to gather requirements and propose system changes.
• Partner with development, design, copy writers, and IT teams on a day-to-day basis.
• Develop and present recommendations from analysis; assist in design peer reviews; contribute to process improvement.
• Propose solutions to improve efficiency; defend recommendations with clear reasoning.
• Communicate with both business and technical audiences; produce design documents for diverse readers.
• Demonstrate technical thought leadership and strong problem-solving with innovative ideas.

Conoscenze

Backend development

Python

API design

AWS

CI/CD

Debugging

Agentic AI / LLM integration

Vector databases / RAG

LLM integration

Git workflows

OpenAPI/Swagger

FastAPI

Strumenti

FastAPI

OpenAPI/Swagger

AWS

Neptune

API Gateway

Descrizione del lavoro

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