Lead Agentic SDLC Engineer

Are you excited about the future of software engineering and the role AI will play in shaping it? As an Agentic SDLC Engineer at Blue Harvest, you'll help organizations transform how software is designed, built, tested, and operated through AI-powered agents and intelligent development workflows.

This is a role for engineers who combine strong software engineering fundamentals with a passion for GenAI, coding agents, and experimentation. You'll work on cutting-edge solutions that improve developer productivity, enhance software delivery, and help redefine what modern engineering teams can achieve.

You'll take ownership of complex GenAI and agent architectures, guide technical decisions, and turn promising ideas into scalable solutions that deliver real value for our clients.

You won't just be implementing solutions—you'll help define best practices, influence engineering standards, and shape the future of AI-enabled software delivery.

At Blue Harvest, we're helping clients navigate the next evolution of software delivery. We believe AI won't replace great engineers, but great engineers using AI will transform how software gets built.

We're looking for builders. People who thrive in ambiguity, learn quickly, challenge conventional approaches, and enjoy solving difficult problems. We value curiosity, resilience, strong engineering judgment, and a maker mindset.

Whether you're experimenting with coding agents, building side projects, mentoring colleagues, or shaping the next generation of engineering practices, you'll have the freedom and support to make an impact.

• Work on the next generation of AI-powered software engineering capabilities.
• Build reusable solutions that can transform how development teams work.
• Experiment, learn, and innovate with strong support from technical leadership.
• Help define new standards for agentic software delivery and developer experience.
• Work alongside passionate engineers who care deeply about craftsmanship and continuous improvement.

• Design and build AI assistants and agents that improve backlog refinement, code generation, code review, testing, and software delivery workflows.
• Turn GenAI prototypes into robust, reusable capabilities that can scale across teams and organizations.
• Define and implement ways to measure the value delivered by AI-enabled engineering capabilities.
• Coach engineers on the effective use of GenAI and coding agents in day-to-day software development.
• Make architectural trade-offs between speed, scalability, governance, reliability, and cost.
• Improve developer experience by embedding agentic capabilities directly into engineering workflows and tooling.
• Design and implement scalable GenAI systems and agent architectures.
• Build production-ready GenAI services with an eye toward portability and long-term adoption.
• Lead solution design across APIs, event-driven systems, and AI workflows.
• Collaborate with engineering, product, and business stakeholders to translate opportunities into scalable technical capabilities.

Technical Excellence

• 5+ years of experience in Software Engineering, Dev Ops Engineering, ML Engineering, or Data Science.
• Proven end-to-end software engineering experience across the full lifecycle, from discovery and architecture through implementation, deployment, and production operations.
• Strong hands-on experience with cloud platforms and Infrastructure as Code technologies such as Terraform or Bicep.
• Strong coding skills and the mindset of a polyglot engineer who chooses the right technology for the problem at hand.
• Experience building and using coding agents or agentic development tools in practice, whether professionally or through meaningful side projects.
• Ability to…