Agentic SDLC Engineer

About the Role

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.

What makes this Role Special

• 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.

What You'll Do

• 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.

What You Bring

Technical Excellence

• 5+ years of experience in Software Engineering, DevOps 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 design and build products from scratch, turning ambiguous challenges into working solutions that deliver measurable value.
• Experience bringing software into production in a secure, reliable, and responsible way.
• Strong understanding of testing, deployment, runtime operations, observability, security, and production readiness.

Leadership & Collaboration

• Excellent communication skills and the ability to explain complex concepts to both technical and non-technical audiences.
• Entrepreneurial mindset with a passion for experimentation, innovation, and continuous learning.
• Strong ownership mentality and perseverance when solving complex challenges.
• Ability to mentor, coach, and inspire other engineers.
• Experience working in Agile environments such as Scrum or Kanban.

Nice-to-Haves

• Side projects, prototypes, hobby builds, or open-source contributions that showcase your maker mindset.
• Experience with GenAI workflows, prompt engineering, orchestration, and AI-powered development tooling.
• Experience working in large-scale engineering environments.
• Experience within financial services, banking, insurance, or other regulated industries.

Why Blue Harvest?

Shape the Future: Help define how AI and software engineering come together to create the next generation of development practices.

Growth: Benefit from learning opportunities, certifications, coaching, knowledge-sharing sessions, and clear career paths that support your growth as a technical leader.

Impact: Build solutions that improve how engineering teams work and deliver value at scale.

Culture: Join a team that values curiosity, craftsmanship, collaboration, ownership, and having fun while solving meaningful challenges.

Our Offer

You'll receive a competitive salary and benefits package, but more importantly, you'll join a workplace where innovation, engineering excellence, and personal development go hand in hand.

Expect opportunities to work with industry-leading clients, experiment with emerging AI technologies, contribute to our engineering community, and establish yourself as a recognized expert in the market.