AI Agent Engineer (Remote)

A rapidly scaling leader in the telehealth and AI space is seeking an AI Agent Engineer to join their remote team. We are committed to leveraging technology to improve access to essential services and are looking for a hybrid problem-solver to drive our next phase of AI-driven workflow transformation.

This full-time, remote (US-based) role is critical for expanding agentic workflows that reduce manual effort and improve service accessibility. You will be instrumental in the end-to-end lifecycle of our AI agents, from initial discovery to operational management and continuous improvement.

We are looking for a unique combination of skills:

• The Investigator: Dive deep with stakeholders (end-users and executives) to map existing workflows, identify pain points, and translate messy processes into precise agent tasks, policies, and success metrics.
• The Sprinter: Rapidly develop and deploy agents using a low-code AI agent orchestration environment. You'll manage a roster of 15+ agents, driving their continual improvement and measurable impact.
• The Technician: Traverse internal APIs and self-serve to build and refine internal API action endpoints, safely integrating agents into our technical ecosystem.

Founding Software Engineer - AI Evaluation & Data Infrastructure

Location: San Francisco

compensation: $150K - $240K

We are building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows, helping push the frontier of LLMs and AI Agents. We work with all 5 of the leading AI labs and are experiencing sharp hockey stick growth. We are seeking a Founding Software Engineer with end-to-end ownership to build the systems that power data and evaluation for the next generation of AI.

This is a dynamic, high-impact role that offers immense breadth of ownership over projects that push the frontier of AI evaluation. You will move fluidly across the entire stack, from research prototyping to distributed cloud infrastructure and user-facing analytics. You must be comfortable with constant context switching and relentless shipping in a talent-dense environment.

What You’ll Do:

Founding Software Engineer (AI Evaluation Infrastructure)

Location: San Francisco, CA (FiDi)

Employment Type: Full-time

Work Arrangement: On-site (6 days a week in office)

About the Role

Our client, is a high-growth AI startup that is building the most complex infrastructure for frontier data creation and evaluation for LLMs and AI Agents. They work with all five of the leading AI labs and top-tier YC companies, reflecting their sharp growth rate and talent density. The company is backed by $3 million in funding and features a founding team from rigorous environments like Citadel Securities, Google, and Meta.

They are seeking a Founding Software Engineer for a high-impact, non-narrow role with end-to-end ownership. You will operate across the full stack and infrastructure, contributing directly to systems that push the frontier of AI evaluation.

What You’ll Do

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Member of Technical Staff, Machine Learning in North America and Europe.

As a Machine Learning Engineer, you will be responsible for developing innovative multimodal AI systems to push the boundaries of content creation for media generation. You will work alongside a world-class team, building generative models in computer vision, focusing on image and video. This role involves rapid prototyping, collaborating closely with cross-functional teams, and bringing cutting-edge machine learning models to production in a fast-paced, high-ownership environment.

Accountabilities: