[Hiring] Forward Deployed Engineer @TEKsystems

Role Description

We're building a Forward Deployed Engineering team that sits at the intersection of AI, software engineering, architecture, and business transformation. This role is for engineers who enjoy solving ambiguous problems, working directly with stakeholders, and shipping production solutions quickly. You'll partner with business and technical teams to identify high-value opportunities, design solutions, build working products, and deploy them into production.

Rather than spending months working from fixed requirements, you'll move from problem discovery to functional solutions in days or weeks. You'll work on AI agents, enterprise integrations, automation platforms, data pipelines, and modern application development while helping drive AI adoption across the business.

What You'll Do

• Engage directly with business stakeholders to understand workflows, challenges, and desired outcomes
• Lead technical discovery sessions and convert ambiguous problems into clear solution designs
• Design, build, and deploy AI-powered applications and agent-based systems
• Develop backend services, APIs, integrations, and automation workflows using Python
• Build business-facing applications, dashboards, and user interfaces
• Create and deploy AI agents and multi-agent systems using modern frameworks and enterprise tooling
• Implement MCP-based integrations connecting AI applications to enterprise systems and data sources
• Build data pipelines and workflows supporting AI-driven applications
• Define architecture decisions, technical standards, and implementation approaches
• Deliver secure, scalable, production-ready solutions on cloud platforms
• Partner with infrastructure, product, data, and engineering teams throughout delivery

Qualifications

• Advanced Python development experience building production applications and APIs
• Experience designing and deploying production AI agents or agentic workflows
• Hands-on experience with AWS Bedrock
• Practical experience implementing or consuming Model Context Protocol (MCP)
• Full-stack development experience including modern frontend frameworks (React, Vue, Angular, or similar)
• Strong solution architecture and systems integration experience
• Experience deploying production applications in cloud environments
• Ability to work directly with stakeholders and lead technical discovery conversations

Preferred

• AWS AgentCore experience
• Experience with LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel
• RAG architecture experience
• Vector database experience (Pinecone or similar)
• LLM evaluation, observability, and guardrails experience
• Docker and Kubernetes experience
• Experience extending AI coding assistants through plugins, skills, or custom workflows

Why This Role Is Interesting

• Opportunity to help build a growing engineering capability
• High ownership and direct business impact
• Significant exposure to AI agent architectures and enterprise AI deployment
• Ability to influence technical standards and reusable engineering patterns
• Fast-moving environment where engineers own solutions end-to-end
• Remote-first team with strong support for AI-driven innovation

Job Type & Location

This is a Permanent position based out of San Francisco, CA.

Pay and Benefits

The pay range for this position is $150000.00 - $280000.00/yr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

• Medical, dental, vision, and prescription coverage
• Up to $1,200 annually in employer HSA contributions
• 401(k) company match that is always 100% vested
• Company-paid disability, life, and AD&D insurance
• Paid time off, 11 paid holidays, wellness incentives, and family-support resources

Benefits are subject to eligibility and plan terms.

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 30, 2026.