full stack developer for AI/ML platforms

The role focuses on building dependable systems that support growth and decision-making, with an emphasis on robust architecture and trusted data.

• Build and maintain production-grade systems from scratch, including backend services, APIs, data/ML platforms, and automation
• Design and develop APIs using REST, FastAPI, GraphQL, and/or gRPC
• Architect cloud-native, serverless, microservices, and event-driven systems, and ensure cloud integration
• Implement DevOps practices, including CI/CD, Docker, Kubernetes, Terraform/IaC, and automated deployments
• Apply security-aware engineering, including IAM least privilege, secrets management, OIDC, Entra ID, and permissions management
• Lead technical design and mentor engineers, communicating with technical and business stakeholders
• Develop frontend/web applications for internal tools, dashboards, and proof of concepts
• Work with relational and NoSQL databases
• Ensure observability and debugging using CloudWatch, Grafana, Datadog, or similar tools
• Contribute to building AI/ML platforms, agentic AI systems, agents, chatbots, RAG, and LLM-based systems

• Expertise in software engineering fundamentals and building production-grade systems
• Proficiency in Python backend development, including APIs, services, data/ML platforms, and automation
• Experience with API development and architecture across cloud-native, serverless, microservices, and event-driven systems
• Cloud experience, preferably with GCP and/or AWS, including ECS, Lambda, SNS, SQS, and managed data services
• Solid DevOps background, including CI/CD, Docker, Kubernetes, Terraform/IaC, and automated deployments
• Security-aware engineering experience, including IAM least privilege, secrets management, OIDC, Entra ID, and permissions management
• Experience with AI-assisted programming tools and modern engineering workflows
• Ability to lead technical design, mentor engineers, and communicate with technical and business stakeholders
• Frontend/web application development experience, especially for internal tools, dashboards, and proof of concepts
• Experience with relational and NoSQL databases, including PostgreSQL, Redis, BigQuery, and DynamoDB
• Будет плюсом: Experience with LangChain, LangGraph, LlamaIndex, and prompt engineering, platform engineering or developer experience background, MLOps experience with model deployment, inferencing, monitoring, and production operations

• Условий в вакансии нет