Forward Deployed Engineer
Neuron Factory · Indiana, United States · 1 wk ago
Full-time
About the role
This role reports to the CTO and requires someone who can code as confidently as they can present to C-suite executives.
Responsibilities
- Client Engagement & Technical Discovery
- Embed with enterprise clients (construction firms, engineering consultancies) to deeply understand their workflows, bottlenecks, and data landscape
- Conduct technical discovery sessions with stakeholders ranging from estimators to CTOs
- Identify high-impact use cases where our agents can deliver immediate value
- Build trust and credibility as the technical face of Neuron Factory
- Rapid Prototyping & Solution Development
- Design and build functional prototypes that demonstrate our platform's capabilities, often in 1-2 week sprints
- Work with complex, messy enterprise data—PDFs, spreadsheets, legacy databases, email threads—and make it queryable and actionable
- Create custom integrations with client systems (ERPs, procurement tools, project management platforms)
- Create compelling demos that showcase "wow moments" and drive client excitement
- Production Engineering & Platform Development
- Transform successful agent prototypes into robust, scalable production agents
- Build full-stack applications: backend services (Python, microservices), APIs, databases (DynamoDB, vector stores like Pinecone), and user interfaces (React, Streamlit, etc)
- Develop and optimize AI/ML pipelines: document processing, RAG systems, agent orchestration (CrewAI, LangChain), LLM integrations
- Ensure code quality, testing, and documentation for features that will serve multiple enterprise clients
- Technical Leadership & Knowledge Transfer
- Document client workflows, technical requirements, and solution architectures
- Share insights from the field to inform product roadmap and engineering priorities
- Train clients on platform capabilities and best practices
- Contribute to internal tooling, frameworks, and deployment infrastructure
Requirements
- 5+ years of full-stack software engineering experience with a track record of shipping production systems
- Strong proficiency in Python and modern web frameworks (FastAPI, Flask, React, or similar)
- Experience with databases (SQL and NoSQL), APIs, and cloud platforms (AWS, GCP, or Azure)
- Demonstrated ability to work with AI/ML systems—whether that's LLMs, embeddings, RAG architectures, or classical ML
- Exceptional communication skills: you can explain complex technical concepts to non-technical stakeholders and write clear documentation
- Customer-first mentality with experience in client-facing roles (solutions engineering, consulting, technical sales, or similar)
- Comfortable with ambiguity and rapid iteration in a fast-paced startup environment
- Willingness to travel ~30-40% to client sites
Preferred
- Experience in developer relations, technical evangelism, or solutions architecture roles
- Background in enterprise software, particularly working with large, complex datasets and legacy systems
- Familiarity with construction, engineering, or industrial workflows
- Knowledge of document processing, OCR, and information extraction techniques
- Experience with modern AI frameworks: LangChain, CrewAI, vector databases
- Understanding of graph databases and knowledge graphs
- Contributions to open source or technical writing/speaking experience