Forward Deployed Engineer (FDE)

About the role

Netic builds AI revenue engines for essential service providers across North America. We are backed by $43M in funding from investors including Founders Fund, Greylock, Hanabi, and Dylan Field. Our team consists of engineers from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. You will own the design and end to end delivery of multi-modal AI agents that directly improve the operational efficiency and revenue of our enterprise customers. This role requires you to act as a technical bridge between complex engineering solutions and the real world workflows of service businesses. You will be responsible for translating ambiguous customer problems into reliable, production grade software that scales from pilot to wide deployment. A core part of your ownership is running live experiments, analyzing their impact, and iterating quickly based on observed behavior in customer environments. You will also own the long term technical strategy for the features you ship, ensuring that system reliability, performance, and maintainability are maintained as the product evolves.

Key facts

What you'll do

• Design and launch multi-modal AI agents to improve operations for service-based businesses.
• Partner with enterprise clients to analyze workflows and implement solutions that generate revenue.
• Oversee the full technical lifecycle, including system design, deployment, performance tracking, and iterative updates.
• Develop high-performance systems capable of managing thousands of concurrent interactions.
• Conduct rapid testing by fine tuning text and voice models and executing live A B tests.
• Integrate speech APIs, vector databases, and RAG pipelines to deliver accurate and context aware responses.
• Implement robust evaluation frameworks to measure agent performance and guide product improvements.
• Identify recurring customer needs and translate them into actionable insights for our core product and engineering strategy.
• Configure and optimize cloud infrastructure to ensure low latency, high availability, and cost efficient operations.
• Provide hands on technical support to resolve edge cases and ensure smooth adoption by client teams.
• Collaborate closely with data scientists to fine tune models for specific verticals and use cases.
• Instrument production systems to capture detailed telemetry and support proactive monitoring.
• Lead debugging efforts across distributed services to resolve issues before they impact customers.
• Define and drive the adoption of best practices for reliability, scalability, and security in deployed solutions.

Requirements

• Must be a new graduate available to start between winter 2026 and summer 2027.
• Proficiency in building production grade systems using Python asyncio and FastAPI.
• Proficiency in building production grade systems using TypeScript Node and React.
• Practical experience with LLMs, TTS, and speech APIs for real world applications.
• Hands on experience with vector databases and RAG pipelines to retrieve and synthesize information.
• Familiarity with evaluation and fine tuning frameworks used to assess model performance.
• Demonstrated ability to maintain system reliability and meet strict performance SLAs.
• Experience managing production monitoring and debugging across cloud infrastructure.
• Strong understanding of software design patterns, testing strategies, and deployment pipelines.
• Ability to work directly with customers to resolve edge cases and provide technical support.
• Comfort working in a fast paced environment where requirements evolve based on client feedback.
• Willingness to dive into unfamiliar codebases and technologies to solve urgent problems.
• Commitment to writing clean, maintainable code that can be understood and extended by other engineers.
• Openness to feedback and collaboration with cross functional teams including product and design.

Skills & tools

• Python asyncio
• Python FastAPI
• TypeScript Node
• TypeScript React
• LLMs
• Speech APIs
• Vector databases
• RAG
• Evaluation frameworks
• Fine tuning frameworks
• Cloud infrastructure
• Production monitoring

Practical notes

We are an equal opportunity employer. We do not discriminate based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other protected status. Candidates who can start before winter 2026 are encouraged to apply.