Forward Deployed Engineer
Honeycomb software · US
Apply directly on Honeycomb software’s careers site — no account needed.
About the role
Engagement: Full-time · East Coast, USA
About the Role
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
Key Responsibilities
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
What We're Looking For
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
Why You'll Love This Role
- 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.
Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.
Skills
- Python
- REST
- SQL
- JavaScript
- Docker
- Kubernetes
- AWS
- GCP
- Azure
- GraphQL
- pandas
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