Senior Software Development Engineer – Technical Lead, AI Focus

Description

• Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting • Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management • Use AI-assisted development tools for code comprehension, generation, refactoring, testing, documentation, and migration planning, validating outputs through engineering judgment • Architect and build fit-for-purpose agents and agentic workflows using LangGraph, A2A, MCP-enabled tools, or comparable technologies • Guide modernization of existing applications by analyzing legacy code, identifying business logic and constraints, defining target architecture, and creating incremental transformation roadmaps • Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience • Mentor developers in software engineering practices, AI-assisted delivery, secure coding, automated testing, maintainable design, and code review • Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into technical plans • Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift • Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices for modernization delivery

Requirements

• Significant hands-on software development experience delivering production-quality applications • Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution • Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management • Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies • Experience with new application development, application modernization, or both • Practical experience using AI-assisted development tools for coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration • Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements • Familiarity with agentic development concepts and experience building or prototyping agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks • Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support • Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create incremental transformation plans • Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams • Growth mindset and enthusiasm for AI's impact on software development • Preferred: experience modernizing legacy applications, architecting cloud-native applications, using agent and orchestration frameworks, designing enterprise-integrated agents, defining architecture guardrails and engineering playbooks, DevSecOps, RAG, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, agent observability, and Agile delivery environments

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