Agentic Developer

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Key Responsibilities Design, develop and deploy AI-powered agentic workflow solutions that combine multiple specialised AI agents, business rules, enterprise tools and organisational data sources to solve complex business problems. Build intelligent orchestration layers that manage agent routing, state, decision-making, tool selection and workflow execution across complex business processes. Translate business requirements and domain knowledge into scalable AI workflows, agent behaviours and decision logic that deliver measurable business outcomes. Integrate AI solutions with enterprise platforms, REST APIs, knowledge bases, databases and other internal systems to enable end-to-end automation. Develop scalable backend services and APIs that support asynchronous processing, streaming interactions and production-grade AI applications. Design, implement and maintain reliable AI systems that are observable, resilient and capable of operating effectively in production environments. Optimise prompt engineering strategies, prompt lifecycle management and LLM performance while balancing quality, latency and operational cost. Implement evaluation frameworks, monitoring, logging and observability to continuously improve AI solution quality and reliability. Collaborate closely with Product Managers, Architects, Engineers, Data teams and business stakeholders to identify opportunities and deliver practical AI solutions. Experience Desired Experience designing and building AI-powered workflows that combine multiple specialised agents, business rules, tools and enterprise data sources. Strong understanding of agent orchestration, state management, routing, tool use and workflow reliability in production environments. Ability to translate complex business processes and domain logic into effective agent behaviours, decision flows and user outcomes. Experience integrating enterprise systems, including REST APIs, data platforms and knowledge sources, into AI-driven workflows. Strong backend engineering capability, with experience building scalable, asynchronous services that support streaming interactions and production workloads. Experience taking AI solutions through the full delivery lifecycle, including development, testing, deployment, monitoring and operational support. Understanding of prompt design, externalised prompt management, evaluation, observability and the cost/performance trade-offs of running LLM workloads at scale. Experience collaborating with product, engineering and domain stakeholders to turn emerging AI capabilities into reliable business solutions. Technology Experience (nice to have) LangGraph, LangChain or similar agent orchestration frameworks. Python, FastAPI, asynchronous programming and SSE streaming. Amazon Bedrock and AWS services such as ECS Fargate, S3, DynamoDB and Athena. Docker, AWS CDK or other infrastructure-as-code tools. Azure DevOps or similar CI/CD platforms. Experience deploying and operating production agentic AI workloads in AWS or comparable cloud environments. Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Local Benefits Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships. Novated Leasing: Pre-tax car leasing benefit for new and used cars. Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year. Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave. Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.