Lead Software Developer

Remain At Home Senior Care

Augusta, GA, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$160,000.0 - $180,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Software Engineering TypeScript Large Language Models Fastapi Machine Learning Operations

Requirements

Do you have experience in Software engineering?, * Deep, practical experience building with AI - LLMs, agents, and applied ML in real products

Comfort working AI-native: you use AI to build, and you know how to do it well
Strong Python, ideally with FastAPI
Experience leading technical work - you bring people with you, not just opinions
A track record of shipping software that holds up in production
A bias toward clarity over complexity
Typescript experience
5+ years of development experience

Nice to have:

Healthcare or other regulated-industry experience (not required - good people learn the domain)
Experience building and scaling data or ML infrastructure
Agentic coding experience

Benefits & conditions

Pulled from the full job description

Health insurance
Vision insurance
Dental insurance

About the company

At Unifi Healthcare, we are reimagining what healthcare can be-accessible, compassionate, and truly patient-centered. Our mission is to deliver a seamless, personalized experience that empowers individuals and supports them through their healthcare journey, helping people live longer, safer lives in the comfort of their own homes. Through our growing network of services and partners, we are building a model that reduces complexity, supports caregivers, and reimagines how at home healthcare is delivered across the U.S.

We’re looking for a Tech Lead to set the technical direction for our AI work and build alongside the team. This is a hands-on role with real ownership. You’ll write code, shape architecture, and help the engineers around you do their best work.

What the work actually looks like:

Lead the design and build of AI-powered features that take administrative weight off care teams
Stay hands-on in the codebase
Set the bar for how we build with AI: tooling, patterns, evaluation, and what “good” means
Mentor engineers and grow the team’s AI fluency
Partner with product and clinical teams to solve real problems for real people
Make pragmatic calls where healthcare reality and tech-world best practices meet