Senior Software Engineer (ML/AI)
Apply NowCompany: Higher People
Location: New York, NY 10025
Description:
Senior Software Engineer (ML/AI)
Location: NYC (onsite)
Reporting Structure: Co-Founder & Head of Engineering
About Thoughtly AI
Thoughtly helps thousands of large enterprises and SMBs launch human-like voice AI agents to handle millions of inbound and outbound calls. Our customers come from a range of industries including Healthcare, Real Estate, and Legal. Our stack is React, Typescript, Golang, in-house ML, and GCP. We also integrate with several LLMs. We are a tight-knit team based out of NYC that ships daily and iterates fast. Come join us to pioneer agentic AI and voice AI!
Why Thoughtly Needs You
They're scaling call volume 10 this year while adding more in-house ML models. They need a senior engineer IC who can work with the existing team across the stack, to architect and develop a rock-solid product and infrastructure.
What You'll Do
Is This You?
#Perks
Location: NYC (onsite)
Reporting Structure: Co-Founder & Head of Engineering
About Thoughtly AI
Thoughtly helps thousands of large enterprises and SMBs launch human-like voice AI agents to handle millions of inbound and outbound calls. Our customers come from a range of industries including Healthcare, Real Estate, and Legal. Our stack is React, Typescript, Golang, in-house ML, and GCP. We also integrate with several LLMs. We are a tight-knit team based out of NYC that ships daily and iterates fast. Come join us to pioneer agentic AI and voice AI!
Why Thoughtly Needs You
They're scaling call volume 10 this year while adding more in-house ML models. They need a senior engineer IC who can work with the existing team across the stack, to architect and develop a rock-solid product and infrastructure.
What You'll Do
- Build full-stack features. Ship customer-facing dashboards, backends, services, and internal tools in TypeScript/React/Golang.
- Scale our architecture. Conduct system-design sessions, model high-volume traffic, and implement resilient, observable, cost-efficient infrastructure on GCP.
- Build in-house ML. Productionize various ML models (fine-tuning, evaluation, rollout, monitoring) in collaboration with the existing team.
- Raise the bar. Establish engineering best practices, run code reviews, mentor mid-level developers, and help drive engineering culture.
Is This You?
- 7+ years of software engineering experience with at least 2 years in Golang, 3 years in Typescript, and 2 years in ML on production systems.
- Full-stack application development experience. Comfortable moving between Go APIs, Node tooling, and modern React/Next.js front-ends.
- Large-scale system-design intuition. You've architected or significantly scaled systems handling thousands of QPS or equivalent streaming workloads.
- Hands-on ML experience. Beyond "just calling GPT": you've trained, fine-tuned, or maintained in-house models and understand the model lifecycle in production.
- Cloud experience (GCP preferred). You can wield Cloud Run / GKE, Pub/Sub, IAM, Terraform, and observability stacks with ease.
- Excellent communicator. Ability to communicate clearly, and collaborate across functions.
- Bonus points for VoIP, Twilio, Telnyx, WebRTC, or real-time audio streaming experience.
#Perks
- Operate at the edge of agentic AI, you will learn more here than anywhere else
- A direct seat at the table influencing product, tech, and culture
- A team culture you will love
- Work with and learn from top tier engineers and researchers
- Health, dental, and vision coverage (US)
- Competitive salary + meaningful equity