Senior AI Software Engineer

DCG helps candidates find an environment to grow and companies build effective teams by closely listening to people and organizations and fostering lasting relationships.

• Strong programming skills in Python
• Solid understanding of software engineering fundamentals including Git, code review, testing, and maintainable code practices
• Working knowledge of CI/CD concepts and containerized environments including Docker and Kubernetes basics
• Hands-on experience with or strong interest in LLMs, AI-assisted development, prompting, agents, and tool use
• Ability to read, understand, and work with code across multiple languages, including legacy code such as Java
• Strong analytical and structured problem-solving skills with comfort working in ambiguous and experimental environments
• Good communication skills in English and collaborative mindset

Nice to have:

• Experience with Tekton, ArgoCD, or other GitOps and pipeline tools
• Familiarity with Ansible or other infrastructure-as-code tools
• Experience using agentic coding tools such as Claude Code or similar solutions and agent frameworks
• Knowledge of LLM evaluation, context engineering, or Model Context Protocol (MCP)
• Background in legacy modernization, code migration, or large-scale refactoring
• Familiarity with Java/Spring, front-end technologies, or other target technology stacks
• Experience working in regulated or enterprise environments, including banking

• Design and improve AI agent workflows, prompts, and tooling for legacy application modernization
• Develop automation that analyzes legacy code repositories and rewrites applications to approved technology stacks
• Integrate AI-driven migration workflows with CI/CD and deployment platforms including Tekton, ArgoCD, and Ansible
• Work with agentic coding tools such as Claude Code and Maister
• Utilize Anthropic and other large language model (LLM) providers within the modernization framework
• Collaborate with application teams to transform migration use cases into repeatable automation
• Support development of a vendor-agnostic framework for code migration and modernization
• Contribute to software engineering, platform automation, and applied AI solutions