Netic Forward Deployed Engineer at Netic building and deploying multi-modal AI agents for essential services companies. Own end-to-end lifecycle from design to rollout and iterate with customers.
Responsibilities
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.
Qualification
Hands-on experience with LLMAbility to meet SLAs
Required
2+ years building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React)
Hands-on experience with LLM, TTS and speech APIs, fine-tuning models, vector databases, RAG, and evaluation frameworks
Ability to meet SLAs, resolve issues, and optimize systems for speed and reliability at scale
Experience building production monitoring and debugging systems across cloud infrastructure and databases
Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions
