Software Engineer, AI Research – Prototyping

Sage Care

Software Engineer in AI Research & Prototyping at Sage Care transforming healthcare through AI innovations. Prototyping and evaluating new voice AI techniques using real production data.

Posted 7/29/2026full-timePalo Alto • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python programming and applied machine learning, with a strong focus on experimental design and knowledge transfer. Capable of building prototypes and conducting rigorous evaluations of AI models and techniques.

Highest-signal resume keywords

Python ProgrammingApplied Machine LearningExperimental DesignLLM ExperienceKnowledge Transfer

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringExperiment DesignModel EvaluationPrototypingData Analysis

Soft Skills

Intellectual HonestyTeaching ExperienceTechnical Writing

Industry Keywords

Voice AILLM ReasoningAgent SystemsBenchmarkingTech Talks

Tech Stack

Tools & technologies

Open SourcePython

About the role

Key responsibilities & impact

Track emerging techniques in voice AI, LLM reasoning, and agent systems, and identify which ones matter for us
Design structured experiments with real controls: know when a result is signal and when it is noise
Build rapid prototypes and test them against real conversation data
Run head-to-head evaluations of models, providers, and techniques (reasoning approaches, speech models, orchestration patterns)
Turn every investigation into a team-usable artifact: a benchmark, a written deep-dive, a tech talk, or a recommendation with evidence
Work with platform engineers to hand off validated ideas for production implementation
Build the internal knowledge base for how and why our AI stack works the way it does

Requirements

What you’ll need

3+ years of software engineering or applied ML experience
Strong Python skills; able to build and run your own experiments end-to-end without infrastructure support
Hands-on experience with LLMs: prompting, evaluation, and an intuition for how model behavior changes across techniques and providers
Experimental rigor: experience designing tests with controls, baselines, and honest measurement
A track record of teaching or knowledge transfer in some form: teaching or TA experience, workshops, technical writing, internal tech talks, well-documented open source, or developer education
Intellectual honesty: comfortable reporting that a promising idea did not work.

Benefits

Comp & perks

Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score