• Determine programming requirements for systems • Design flexible frameworks • Analyze and improve performance of software programs • Analyze requirements for data exchanges between application software and other systems • Coordinate systems analysis, development, and implementation activities • Organize and prepare program and system documentation • Recommend and implement technology and process improvements • Perform formal code reviews and quality assurance activities • Provide technical leadership, mentoring, and training • Prevent unauthorized access to information • Produce management reports • Communicate well with non-IT personnel and vendors • Assist in special projects

• Design, build, own and operate production SaaS features that integrate RAG pipelines, agent systems including multi-agent architectures, and deterministic services. • Use AI coding agents (e.g., Claude Code style tools) as a first class part of your development process, including architecture exploration, implementation, testing, refactoring, and documentation, while maintaining full ownership of output quality and understanding their strengths and limitations. • Implement and evolve agentic systems using frameworks such as LangChain, CrewAI, PydanticAI, or equivalent, including tool orchestration, memory/state handling, and multi-step reasoning workflows. • Build scalable retrieval and inference pipelines: embedding workflows, vector databases, hybrid retrieval strategies, caching, and evaluation loops to balance accuracy, latency, and cost. • Identify where agentic approaches provide leverage over conventional code and where they do not, making pragmatic, production minded tradeoffs across cost, accuracy, latency, and reliability. • Design guardrails and failure-mode mitigations for non-deterministic systems, including prompt structure, validation layers, fallback strategies, and human-in-the-loop patterns where appropriate. • Integrate observability and evaluation into AI-enabled features, monitoring correctness, drift, bias, and performance over time. • Collaborate with architects, product managers, and designers to translate ambiguous requirements into robust technical designs. • Contribute to shared libraries, internal tooling, and reference patterns that accelerate delivery of AI-enabled features across teams. • Participate in code reviews and design discussions, raising the bar for quality, reliability, and responsible use of AI across the engineering organization. • Mentor other engineers on effective agentic coding practices, prompt design, and emerging patterns as adoption scales. • Own AI-enabled features end-to-end in production, from initial design and implementation through deployment, monitoring, on-call support, incident response, and iterative improvement.

• Define and execute the technology strategy and roadmap aligned with business objectives • Architect scalable, secure, and maintainable systems across the technology stack • Make critical technology decisions on frameworks, platforms, and infrastructure • Establish and enforce engineering best practices, coding standards, and development methodologies • Drive technical innovation while maintaining system stability and performance • Contribute to critical features and technical initiatives through direct coding • Conduct code reviews and provide technical mentorship to engineering teams • Troubleshoot complex technical issues and production incidents • Maintain deep understanding of the codebase and technical architecture • Build, mentor, and grow a high-performing engineering team • Foster a culture of collaboration, continuous learning, and technical excellence • Conduct performance reviews, career development planning, and technical coaching • Recruit top technical talent and establish effective hiring processes • Partner with product, design, and business stakeholders to translate requirements into technical solutions

• Develop high-quality software designs and architectures; • Identify, prioritize, and execute tasks throughout the software development lifecycle; • Develop tools and applications using clear, efficient code; • Automate tasks using appropriate tools and scripting languages; • Review and debug code; • Perform validation and verification testing; • Collaborate with internal teams and vendors to fix and improve products; • Document development phases and monitor systems; • Ensure software stays up to date with the latest technologies;