Lead Software Engineer - Ai Engineer

What you'll do

• Design and build full-stack software, microservices, and REST or streaming APIs.
• Lead development and integration of LLM-based services, AI agents, and AI-assisted engineering practices, with validation for security and quality.
• Improve production stability and observability, communicate project status, and collaborate in a Scrum team.

What they ask for

• Formal training or certification in Software Engineering and 5+ years of applied experience.
• Production experience in system design, application development, and operational stability; experience with distributed systems and at least one major cloud platform.
• Hands-on experience with LLMs and generative AI use cases, and with enterprise-authorized AI-assisted development tools; ability to validate outputs for correctness, performance, and security.
• Expertise in microservices, RESTful APIs, and relational and/or NoSQL data technologies; practical experience building cloud-native systems.

Nice to have

• Cloud certification in AWS, GCP, or Azure; working knowledge of Python.
• Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices; experience with multi-region deployments and zero-downtime deployment.

Tools

Java, AWS ECS, EKS, Postgres, CoPilot, Claude, PyTorch, TensorFlow

AI focus

Build and integrate LLM and generative AI capabilities, including RAG, agents, orchestration, evaluation, and guardrails; use authorized AI tools for software development and guide responsible, validated use.