Senior Software Development Engineer / Technical Lead with AI Focus

Brillfy Technology Inc is seeking a senior software development engineer and technical lead focused on AI-assisted software development and application modernization. The role leads developers, sets technical direction, architects agentic workflows, modernizes legacy applications, and mentors teams while ensuring software is secure, maintainable, testable, and aligned with business outcomes.

Responsibilities:

• 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 to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment
• Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies
• Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing 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 considerations
• Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review
• Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable 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 that help the broader team deliver modernization work more effectively

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 either new application development, application modernization, or both
• Practical experience using AI-assisted development tools to support 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 fit-for-purpose 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 pragmatic incremental transformation plans
• Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams
• Growth mindset and enthusiasm for how AI will reshape the software development profession
• Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates
• Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences
• Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks
• Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data
• Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams
• Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines
• Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability
• Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams