AI Native Software Engineer

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.

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.

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.

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.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

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.

Experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines.

Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm)

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)

Relevant AI certifications or agentic tooling experience are a plus.

You’ve served as an Agentic / AI Engineer in an enterprise environment.

You’ve built multi agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).

Have a GitHub repo with an agent/plugins you have created

You have additional AI certifications or experience with agentic tooling and frameworks.

You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.

You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.

You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.

Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes. #LI-EU

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