Project description
Luxoft is initiating the development of a new Python‑based application designed to support the marketing department with automated generation of both short‑form and long‑form content. The solution will leverage advanced natural language processing capabilities to streamline content creation workflows, improve consistency and quality, and significantly reduce the time required to produce marketing materials across multiple channels.
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
- 5+ years of professional software development experience.
- Strong backend development in 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, and networking.
- Git workflows (feature branches, PR reviews, trunk based or GitFlow) and CI/CD pipelines (build, test, security scans, deploy, rollback).
- Debugging & problem solving skills with strong ownership across the SDLC.
- Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing, API integration, component testing).Generative AI & ML Requirements
- Experience building agents
- Hands on with Python libraries such as LangChain and LangGraph (graph based agent workflows, chains, routers).
- 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.
- Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
Nice to have
- Understanding of event-driven architectures
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