About the job
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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You are an AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You’ll shape how enterprises adopt AI-native engineering, leading complex agentic solutions and developing engineering talent or owning critical technical areas end-to-end as a senior individual contributor.
The Work
You’ll partner directly with client stakeholders, acting as both technologist and trusted advisor. By partnering with stakeholders, you will 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.
What You’ll Do
- Build AI agents: Design and deploy agentic AI solutions using RAG, orchestration, tool calling, and multi-agent workflows.
- Create scalable AI systems: Integrate leading AI platforms such as OpenAI, Claude, and Google alongside cloud-native technologies.
- Take solutions end-to-end: Build, deploy, monitor, and continuously improve production-ready AI applications.
- Solve real business problems: Turn client requirements into practical AI solutions across different industries.
- Work directly with clients: Support workshops, proofs of concept, and technical discussions, helping shape AI solutions from idea to delivery.
What We’re Looking For
- Hands-on experience building AI/agentic solutions, including RAG, agents, orchestration, or workflow automation.
- Strong Python, Java, or similar programming skills and experience with cloud-native development.
- Exposure to OpenAI, Claude, Vertex AI, or open-source LLMs.
- Experience with APIs, microservices, Docker/Kubernetes, serverless, or CI/CD.
- Strong communication skills and confidence working with clients and technical stakeholders.
- Degree in Computer Science, Engineering, or a related field, or equivalent experience.
Bonus Points
Experience with LangGraph, CrewAI, Claude/OpenAI SDKs, multi-agent systems, AI certifications, or publicly available AI projects/GitHub repositories.
Travel: May range from 25–75% depending on client and business requirements.
