What You’ll Do:
Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
Implement and optimize RAG systems for production use cases
Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.
Deploy ML and LLM-based solutions
Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.
Lead architecture reviews, produce technical design documents, and contribute to standards
Mentor engineers, lead code reviews, and share knowledge across the team.
What You’ll Bring:
AI & Python/ Data & Cloud
- 7+ years building and running production systems — not only demos and POCs
- Hands-on experience building production LLM-based applications and agentic workflows
- Experience in integrating AI/ML components into solutions
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
- Experience building and optimizing RAG systems
- Understanding of LLM evaluation techniques and quality assurance approaches
- Experience deploying and maintaining AI/ML models in production environments
- Python skills: OOP, design patterns, clean architecture, and performance optimization
- Experience building RESTful APIs with FastAPI, Django REST, or Flask
- Experience in making and defending architectural trade-off decisions
- Experience with Docker and Kubernetes
- Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
- Understanding of CI/CD practices applied to ML and AI pipelines
- Familiarity with model monitoring, observability, and drift detection.
- AWS and Claude Code Certifications
- CI/CD pipeline experience (GitHub Actions, GitLab CI)
- Experience in an additional language (Go, Node.js, or Rust).
- Hands-on experience with Apache Spark, Apache Airflow, Kafkа
Nice to Have
What We Offer:
