Senior / Lead AI Software Engineer (Agentic Systems)

Role Summary

We are seeking a Senior / Lead AI Software Engineer who can drive the next generation of software engineering by combining strong technical depth with expertise in GenAI, agentic workflows, and AI-augmented development. This is not a traditional engineering role. We are looking for someone who can design and implement AI-driven engineering systems, establish best practices, and lead how AI is used across the SDLC—not just write code faster.

You are expected to use AI as a force multiplier across the entire SDLC, including design, coding, testing, debugging, documentation, and production support.

You will play a key role in defining how teams build, test, deploy, and operate software using AI, while ensuring quality, security, and scalability at an enterprise level.

Key Responsibilities

• Lead the design and development of scalable, secure software systems while actively contributing hands-on to architecture, coding, and critical problem-solving
• Define and implement AI-augmented engineering workflows, including the use of GenAI tools, coding assistants, and agentic systems across development, testing, debugging, and documentation
• Design and operationalize agent-based development processes, where multi-step engineering tasks (feature development, bug fixing, modernization) are executed through structured AI workflows
• Establish standards, guardrails, and best practices for AI-assisted development, including prompt design, validation frameworks, security constraints, and quality benchmarks
• Break down complex engineering problems into structured, AI-executable tasks with clear context, constraints, and validation criteria, enabling consistent and scalable AI-assisted delivery
• Guide teams in effectively leveraging AI by reviewing and validating outputs, identifying hallucinations, security risks, incomplete implementations, and architectural gaps before production use
• Drive improvements in engineering productivity and outcomes, defining and tracking metrics such as cycle time, defect rates, test coverage, and automation levels

Required Qualifications

• 8+ years of strong software engineering experience with deep expertise in system design, APIs, distributed systems, and cloud-native architecture
• Proficiency in one or more languages such as Java, Python, JavaScript/TypeScript, or similar, with the ability to operate across the full stack when needed
• Hands-on experience with GenAI tools and platforms (e.g., GitHub Copilot, Cursor, OpenAI, Claude, Gemini, or similar), with a clear understanding of how to apply them effectively in engineering workflows
• Demonstrated ability to design and guide AI-assisted development, not just use AI tools passively
• Strong experience with testing, CI/CD, DevOps practices, and production systems
• Ability to critically evaluate AI-generated outputs for correctness, security, and completeness

Preferred Qualifications

• Experience building or implementing agentic engineering workflows or AI-driven automation systems
• Experience modernizing legacy applications using AI-assisted approaches
• Cloud experience (AWS, Azure, or GCP) and familiarity with enterprise-scale systems
• Exposure to governance, security, and compliance considerations in enterprise environments
• Prior experience mentoring engineers or leading technical initiatives

What Success Looks Like

In this role, success is not just measured by code delivered, but by how effectively you:

• Establish scalable AI-driven engineering practices
• Enable teams to significantly improve delivery speed and quality
• Reduce manual effort through automation and intelligent workflows
• Ensure all AI-assisted outputs meet enterprise-grade standards
• Drive adoption of AI in a structured, measurable, and sustainable way

Closing Note

This role is for engineers who want to go beyond coding and redefine how software engineering is done using AI.