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Forward Deployed Engineer

Join Netic as a Forward Deployed Engineer to build AI systems that transform essential services businesses.

Location
San Francisco
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 20 hours ago

Apply at Netic → Save job Scanned from netic.ai

What you'll build

  • Build and ship multi-modal AI agents
  • Work directly with enterprise stakeholders
  • Manage end-to-end lifecycle from design to rollout
  • Build reliable systems for concurrent interactions
  • Evaluate cutting-edge text/voice models

Must have

  • 2+ years building and maintaining production systems using Python
  • 2+ years building and maintaining production systems using TypeScript
  • Hands-on experience with LLM, TTS and speech APIs
  • Experience building production monitoring and debugging systems

Nice to have

  • Experience with fine-tuning models
  • Experience with vector databases
  • Experience with RAG
  • Ability to meet SLAs and resolve issues
  • Comfortable engaging directly with customers

AI in the day-to-day

Build and ship multi-modal AI agents that drive business impact for essential service companies.

Requirements

Experience
2+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In the role of Forward Deployed Engineer at Netic, the individual will design and implement AI agents that enhance operational efficiency for essential service businesses. Key skills include proficiency in Python and TypeScript, along with experience in AI systems such as LLMs and speech APIs. This position is ideal for someone with a solid background in production systems and a customer-focused mindset, capable of engaging directly with clients to refine solutions. Netic's team comprises experienced professionals from top tech and academic institutions, emphasizing a commitment to impactful AI development.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 11, 2026. Last confirmed on Netic's careers page October 27, 2026.
  • AI/ML appears in 53% of 481 comparable mid ai/ml roles in United States; vector databases appears in 0.2% of 481 comparable mid ai/ml roles in United States.

Quick facts

How much experience is required?
At least 2 years of relevant experience for this Forward Deployed Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, LLM, Python, RAG, TTS, TypeScript.
What seniority level is this role?
Netic targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineer role at Netic.

From the original posting

Our Forward Deployed Agent Engineers are at the heart of building AI that transforms how essential services businesses operate. This role combines cutting-edge AI development with real-world impact, creating systems that handle complex business operations autonomously.

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, A/B test live, and iterate in tight feedback loops.

  • Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps.

What You’ll Bring:

  • Production experience: A track record of building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React).

  • AI systems expertise: 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.

Our values

  1. Obsess over the customer

  2. Every second counts

  3. Sweat the details

  4. There are no blockers

  5. Be self-directed

  6. Seek and speak the truth

  7. Enjoy the ride

Standard company text repeated across Netic's postings is omitted here.