AI Native Product Engineer & Orchestrator

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation. Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What You Need:

Strong engineering background. Strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Hands-on experience designing and deploying agentic AI solutions in production. Solid experience with AI platforms (OpenAI, Claude, Vertex AI, open-source models), including multi-provider abstraction layers. Strong expertise of programming experience in Python, Java, or equivalent. Strong experience with CI/CD, infrastructure as code (Terraform, Helm), monitoring, logging, and debugging in production environments. Proven experience leading client discussions, technical workshops, and delivery in ambiguous environments.

Bonus Points If:

AI certifications or experience with advanced agentic tooling. Prior experience as an Agentic AI Engineer in an enterprise setting. Experience designing compound AI systems, orchestration frameworks, or agent registries. Strong understanding of AI-native architecture principles, combining cloud-native and generative AI design patterns. Experience delivering AI solutions across multiple industries.