Forward Deployed Engineer (Senior)

About the Role

We're hiring a Senior Forward Deployed Engineer to build and deploy AI-powered solutions that solve real business problems.

This role sits at the intersection of software engineering, applied AI, and client delivery. You'll work directly with customers to understand their challenges, architect agentic AI systems, and integrate those systems into existing enterprise environments.

We're looking for an engineer who can move beyond experimentation and deliver production-ready AI platforms. Someone who can take ownership of complex technical challenges, work closely with stakeholders, and turn evolving requirements into working solutions.

What You'll Be Doing

• Architect and develop agentic AI platforms using Python and modern AI frameworks.
• Build LLM orchestration architectures using LangGraph, CrewAI, AutoGen, and similar technologies.
• Implement multi-agent systems supporting tool use, memory, workflow orchestration, and autonomous decision-making.
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
• Connect AI platforms with client APIs, data infrastructure, cloud services, and enterprise applications.
• Configure Kubernetes and manage the deployment of production workloads.
• Architect and implement deployments across cloud, on-premise, and hybrid environments.
• Engage directly with clients to understand business requirements and translate them into technical solutions.
• Work alongside technical and non-technical teams to deliver complex engineering projects.
• Lead technical execution across client engagements, from initial planning to deployment and iteration.

What We're Looking For

• 5+ years of commercial engineering experience, operating at a Senior Software Engineer level or above.
• Strong proficiency in Python and experience building modern AI-powered applications.
• Proven experience designing and developing agentic AI platforms.
• Hands-on experience with LLM orchestration frameworks such as LangGraph, CrewAI, and AutoGen.
• Strong understanding of multi-agent systems, including tool calling, memory management, and workflow orchestration.
• Experience designing and deploying RAG architectures connected to enterprise data sources.
• Experience integrating AI solutions with APIs, cloud infrastructure, data platforms, and enterprise systems.
• Practical experience configuring Kubernetes and deploying workloads.
• Ability to design and deliver cloud, on-premise, and hybrid deployment architectures.
• Strong consulting experience and a track record of delivering complex client-facing engineering engagements.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Comfortable operating in dynamic environments, adapting to changing requirements, and iterating directly with users.

Why TEN-XER?

We believe people should have the opportunity to do the best work of their lives.

At TEN-XER, we focus on understanding talent beyond their resumes and connecting exceptional people with opportunities where they can create real impact.

If you're an experienced engineer who enjoys building ambitious AI systems, solving complex customer problems, and owning solutions from concept to production, we want to hear from you.