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.
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As an AI Native Engineer, you will have a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, particularly for enterprise environments. You will thrive in ambiguity and deliver concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. Your role will involve either leading complex agentic solutions and developing engineering talent or owning critical technical areas end-to-end as a senior individual contributor.
Key Responsibilities:
- Client Engagement: Partner directly with client stakeholders as both a technologist and trusted advisor. Define use cases, prototype quickly, and deploy robust, secure workflows in complex enterprise environments.
- Agent Architecture & Engineering: Design and build enterprise-ready AI agents and implement resilient, testable workflows for rapid iteration.
- AI Platform Integration: Develop and extend abstraction layers across AI providers to enable seamless integration.
- Cloud-Native Engineering: Utilize modern technologies (Kubernetes, Docker, etc.) to deliver scalable AI-native systems and manage deployment and monitoring.
- Domain-Specific Workflows: Tailor agentic applications for various sectors and collaborate with subject matter experts to translate business processes into technical solutions.
- Measure & Improve: Define key metrics and evaluate performance based on data and feedback.
- Knowledge Sharing: Create reusable patterns and best practices that inform client and internal roadmaps.
Requirements:
- Minimum of 3 years of experience with cloud-native systems (APIs, microservices, containerization, serverless).
- At least 1 year of hands-on experience in designing and deploying agentic solutions in production or near-production environments.
- At least 1 year of experience with modern AI platforms (OpenAI, Claude, Vertex AI) and creating abstraction layers for multi-provider pipelines.
- Strong programming skills in Python, Java, or equivalent, with experience building 12-factor applications and Infrastructure as Code (Terraform, Helm).
- Minimum of 3 years of client-facing experience, including technical discussions and delivery sessions.
- Bachelor's degree in Computer Science, Engineering, or equivalent work experience (minimum 12 years).
Bonus Points:
- Relevant AI certifications or experience in agentic tooling.
- Experience serving as an Agentic/AI Engineer in an enterprise setting.
- Familiarity with multi-agent orchestrations and enterprise-grade architectures for compound AI systems.
- History of delivering solutions across multiple industries by tailoring workflows to specific needs.
