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Описание вакансии
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TL;DR
Python/GenAI Solutions Architect (Python/RAG/LLM/AWS): Designing and delivering production AI systems, backend services, and APIs while embedding directly with client teams, with an accent on generative AI, architecture, and direct technical ownership. Focus on building RAG and agentic solutions, making system design trade-offs, deploying AI workloads on AWS, and guiding engagements from discovery through delivery.
Location: USA; Remote
Company
Provectus is a consulting and professional services firm delivering AI/ML solutions as an AWS Premier Partner and Anthropic partner.
What you will do
- Embed directly with client teams throughout engagements and understand their workflows before designing solutions.
- Write production-grade Python for AI integrations, backend services, and RESTful APIs using Flask, Django, or FastAPI.
- Design, build, optimize, deploy, and maintain production RAG systems and agentic AI solutions.
- Own system architecture and technical direction, including decisions around microservices, event-driven systems, SQL, and NoSQL.
- Serve as the client's direct technical contact, present architecture, defend trade-offs, and support discovery, proposals, scoping, and demos.
- Lead architecture reviews, technical documentation, code reviews, mentoring, and knowledge sharing across the Python practice.
Requirements
- 7+ years of experience building and operating production systems; hands-on production experience is required.
- Production experience with RAG systems, LLM-based agentic workflows, AI/ML model deployment, and LLM evaluation.
- Strong Python skills, including object-oriented programming, design patterns, clean architecture, and performance optimization.
- Recent hands-on AWS experience with services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP experience is also considered.
- Experience with Docker, Kubernetes, pytest, mocking, integration testing, and LLM APIs such as OpenAI, Anthropic Claude, or AWS Bedrock.
- B2+ English and comfort communicating directly with client stakeholders across distributed, multicultural teams.
Nice to have
- Financial Services or Healthcare and Life Sciences experience.
- Presales, consulting, professional services, or embedded client-facing delivery experience.
- React, Vue, Streamlit, Gradio, modern Python tooling, or CI/CD pipeline experience.
- AWS or Claude Code certifications, or experience with Go, Node, or Rust.
Culture & Benefits
- Remote-friendly work environment.
- Choice of B2B contract or full-time employment model.
- Unlimited vacation policy.
- Health, vision, and dental insurance.
- 401(k) matching plan.
- Performance-based bonuses and the opportunity to build AI delivery tooling and frameworks.
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