Full Stack Engineer

Software Engineer, Full Stack

About the Client

Our client is building an enterprise-grade Agentic AI platform that enables organisations to automate complex workflows and repetitive tasks across functions. The platform works across enterprise applications and business processes, with AI agents handling real-world tasks at scale. The company is backed by leading global investors and is building production-grade AI systems for large enterprises worldwide.

The Role

We are looking for a Full Stack Software Engineer to build and deploy production-grade AI agents. This is a hands-on engineering role with exposure to the full product lifecycle, from understanding customer problems and designing solutions to building, evaluating, launching and improving AI-powered systems in production. You will work closely with customers, product teams and other engineers while contributing to the core platform.

What You'll Do

• Design and ship production-grade AI agents and workflows
• Build scalable backend and full-stack systems using Python and Go
• Own features through discovery, development, evaluation, deployment and ongoing improvement
• Work directly with enterprise customers to understand their processes and technical requirements
• Integrate AI agents with enterprise systems and applications
• Design schemas, workflows and evaluation frameworks
• Identify recurring customer needs and help turn them into reusable platform capabilities
• Collaborate closely with product and engineering teams in a fast-moving environment

What You'll Bring

• 5+ years of experience building and scaling production software
• Strong backend engineering fundamentals, including algorithms and data modelling
• Strong experience with Python, with exposure to Go highly desirable
• Experience building end-to-end production systems
• Strong problem-solving skills and the ability to work with ambiguous requirements
• A hands-on, ownership-driven approach to engineering
• Comfort working directly with customers and technical stakeholders
• Strong written and verbal communication skills

Nice to Have

• Experience building or deploying LLM, GenAI systems in production
• Knowledge of AI agents, RAG, MCP or prompt engineering
• Experience integrating enterprise applications such as HRIS, ITSM or ERP platforms
• Experience with authentication and enterprise integrations
• Experience working with distributed teams or multi-tenant SaaS products
• Startup, founder or founding-engineer experience

Why This Opportunity?

You’ll be working at the intersection of software engineering and Agentic AI, building systems that are used to automate real enterprise processes rather than working solely on experimental AI projects. If you enjoy solving complex problems, working close to customers and taking ownership from idea to production, this could be a strong opportunity to explore.

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