Description:

Write clean, production-grade Python for AI integrations, backend services, and RESTful APIs.
Implement and optimize RAG systems for production use cases.
Design and build LLM-based AI solutions addressing client business challenges.
Own technical direction of client engagements from discovery to delivery.
Support presales activities including discovery calls, technical proposals, and demos.
Lead architecture reviews and produce technical design documents.
Mentor engineers and lead code reviews.
Build strong relationships with key client stakeholders as a trusted advisor.

Requirements:

Full-stack mindset with experience in AI, backend development, and cloud infrastructure.
Proficient in using AI tools in daily workflow (e.g., Claude Code, Copilot).
Proactive, self-directed, and able to manage outcomes end-to-end.
B2+ English proficiency for collaboration in multicultural teams.
7+ years of experience building and running production systems.
Strong Python proficiency and understanding of AI/ML concepts.
Experience with RESTful APIs (FastAPI, Django REST, Flask) and architectural trade-offs.
Familiarity with Docker, Kubernetes, and deploying AI/ML models in production.
Hands-on experience with AWS services (SageMaker, Lambda, etc.) and LLM APIs.
Experience with React/Vue and CI/CD pipelines is a plus.

Skills

Benefits