AI Native Software Engineer

We are a forward‑thinking services company at the forefront of AI‑native innovation. We partner with enterprise clients to create next‑generation, agent‑powered workflows engineered to scale in real‑world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

Role Overview

As an AI Native Engineer, you will design, build, and run AI agents that augment workflows and scale across modern infrastructure. You will partner directly with client stakeholders as both technologist and trusted advisor, defining use cases, prototyping, and deploying robust, secure, and operational agentic workflows in complex enterprise domains.

Key Responsibilities

• 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.
• Develop and extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi‑provider enablement.
• 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 services in production.
• Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain‑specific processes and constraints.
• Participate in and/or lead design workshops, proof‑of‑concepts, and code‑with sessions to shape data‑driven agent workflows and foster stakeholder 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.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
• Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects).
• Proficiency in at least one backend language: Python, Java, or TypeScript.
• Hands‑on experience using AI tools daily in engineering work; practical examples of solving real problems with AI, including calling LLM APIs in production code with token management, latency, and cost trade‑offs.
• Experience building AI‑powered coding assistants and integrating LLM APIs into application lifecycles (tests, debugging, code review, prompt engineering).
• Understanding of web technologies (JavaScript, HTML, CSS), cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines.
• Experience with databases (SQL or NoSQL).
• Knowledge of Agile delivery fundamentals.
• Familiarity with agentic system concepts, such as orchestration frameworks (LangChain, LangGraph, or equivalent), retrieval‑augmented generation pipelines, and how full‑stack applications connect to agent‑based architecture.
• Ability to evaluate, validate, and improve AI‑generated outputs, and understand AI limitations and responsible use.

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

Declaración de igualdad de oportunidades en el empleo: Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.