AI Native Software Engineer

Job Description Roles & Responsibilities You ll partner directly with client stakeholders acting as both technologist and trusted advisor. You ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients environments alongside our ecosystem partners. Agent Architecture & Engineering Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly. AI Platform Integration Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud-Native Engineering Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems. Own deployment, monitoring, and troubleshooting for your services in production. Domain-Specific Workflows Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints. Work closely with client SMEs to translate business workflows into agentic solutions. Client Engagement Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences. Measure & Improve Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. Iterate rapidly based on data, feedback, and changing requirements. Knowledge Sharing Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps. Contribute to internal communities of practice around AI-native and agentic engineering. Desired Candidate Profile Here s What You Need Minimum of 3 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments. Minimum of 1 year of experience with modern AI platforms OpenAI, Claude, Vertex AI, or open-source models including building or using abstraction layers for multi-provider pipelines. Minimum of 3 years strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm) Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity. Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate s Degree, must have minimum 6 years work experience) Company Industry IT - Software Services Department / Functional Area IT Software Keywords AI Native Software Engineer Get real-time job updates only on our App