Forward Deployed Engineer

HONEYCOMB SOFTWARE LLC
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software Design Patterns Distributed Systems Python (Programming Language) Machine Learning NoSQL Open Source Technology SQL Databases Systems Integration Workflow Management Systems Large Language Models
+6 more
Multi-Agent Systems Information Technology Deployment Automation Virtual Agents Data Pipelines Api Management

Job description

We’re looking for a Forward Deployed Engineer to bridge cutting-edge AI technology with our clients’ real-world needs. This isn’t a role where you architect from a distance - you’ll sit with clients directly, write code, design and deploy AI agent systems, and own the path from a business problem to a working, adopted solution.

Your Mission

  • Own technical delivery for client integrations of AI-powered agent systems, end to end
  • Turn ambiguous business needs into concrete technical specs and solution designs
  • Deploy, configure, and optimize multi-agent systems in production
  • Build trust with clients through hands-on implementation, training, and support
  • Feed real client feedback back into product improvement, Technical Implementation & Integration
  • Lead technical integration of our products into client systems - API integrations, data pipelines, custom workflows
  • Build and maintain robust, scalable solutions tailored to client requirements, using Python and related technologies
  • Troubleshoot complex issues during implementation, working with internal engineering as needed

Client Engagement & Solution Design

  • Act as the primary technical point of contact, understanding client objectives and technical landscape
  • Translate client needs into technical specifications and solution designs aligned with product capabilities
  • Design and architect AI agent teams - assigning specialized roles and workflows tailored to each client
  • Run technical workshops and training sessions to drive product adoption
  • Partner with Customer Success and Support to ensure smooth, successful client outcomes

Deployment & Optimization

  • Deploy, configure, and optimize multi-agent systems in production environments
  • Build and integrate custom agents, tools, and processes using Python and open-source agent libraries
  • Monitor deployed solutions for performance and business value, iterating on agent roles and workflows as client needs evolve, * Direct client ownership - from first conversation to production, no layers of hand-off
  • Work at the intersection of cutting-edge AI and real business impact
  • Close collaboration with Product, Engineering, Sales, and Customer Success
  • Your solution designs and client feedback directly shape the product roadmap

If you’d rather be embedded in real AI deployments than reviewing them from a distance - let’s talk.

Requirements

Must Have

  • Proven experience in a customer-facing technical role - Solutions Engineer, Sales Engineer, or Technical Consultant
  • Strong proficiency in Python, with experience in APIs and system integrations
  • Familiarity with AI/ML concepts, AI agent frameworks, and LLMs
  • Knowledge of workflow orchestration, multi-agent systems, or distributed computing
  • Exceptional communication, presentation, and interpersonal skills

Nice to Have

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Experience building GenAI solutions - design patterns, RAG, SQL/NoSQL databases
  • Contributions to open-source AI agent projects or experience with human-in-the-loop systems

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