Forward Deployed Engineer (FDE) - Intern - 2026-2027
Netic · On-site
MeritLog read this listing from Netic's Ashby job board and last checked it on September 11, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Francisco
Hiring context
How this role compares at Netic
Netic has 28 live roles in MeritLog’s catalog across 8 job families, and 14 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
Netic concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Architect agents: Build and ship multi-modal AI agents that drive business impact for essential service companies.
- Co‑build with customers: Work directly with enterprise stakeholders to map workflows and deploy our product to unlock immediate revenue lift.
- Own end‑to‑end lifecycle: Manage everything from design, to implementation, to rollout, including deployment, measuring success, and iterating with customers.
- Ensure scalability: Build reliable systems that support thousands of concurrent interactions with strong performance.
- Run rapid experiments: Evaluate cutting‑edge text/voice models, fine‑tune, live A/B test, and iterate within tight feedback loops.
- Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps.
What they're asking for
- Production systems: Experience building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React).Skill
- AI systems: Hands-on experience with LLM, TTS and speech APIs, fine-tuning models, vector databases, RAG, and evaluation frameworks.Skill
- Performance focus: Ability to meet SLAs, resolve issues, and optimize systems for speed and reliability at scale.Skill
- Scale mindset: Experience building production monitoring and debugging systems across cloud infrastructure and databases.Skill
- Customer obsession: Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions.Skill
- Live to buildSkill
- Run through walls and winSkill
- Obsess over customers in each line of codeSkill
- Lose sleep over the "almost perfect"Skill
- Show internal locus of controlSkill
- Prioritize finesse: refinement of first principles thinking, execution, and craftsmanshipSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic. You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible. Our Forward Deployed Engineers are at the heart of building AI that transforms how essential service businesses operate. This role combines cutting-edge AI development with real-world impact, creating systems that handle complex business operations autonomously. We need to hire multiple FDEs to join our team for a 12-week internship that are available to start between winter of 2026 and summer of 2027. If you can start earlier - even better. What You’ll Do: - Architect agents: Build and ship multi-modal AI agents that drive business impact for essential service companies. - Co‑build with customers: Work directly with enterprise stakeholders to map workflows and deploy our product to unlock immediate revenue lift. - Own end‑to‑end lifecycle: Manage everything from design, to implementation, to rollout, including deployment, measuring success, and iterating with customers. - Ensure scalability: Build reliable systems that support thousands of concurrent interactions with strong performance. - Run rapid experiments: Evaluate cutting‑edge text/voice models, fine‑tune, live A/B test, and iterate within tight feedback loops. - Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps. What You’ll Bring: - Production systems: Experience building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React). - AI systems: Hands-on experience with LLM, TTS and speech APIs, fine-tuning models, vector databases, RAG, and evaluation frameworks. - Performance focus: Ability to meet SLAs, resolve issues, and optimize systems for speed and reliability at scale. - Scale mindset: Experience building production monitoring and debugging systems across cloud infrastructure and databases. - Customer obsession: Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions. What brings us together is our commitment to: - Live to build - Run through walls and win - Obsess over customers in each line of code - Lose sleep over the "almost perfect" - Show internal locus of control - Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
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