Senior Software Engineer, Agents

Ellipsis Health

. Design, build, and ship AI agents end to end, including conversation flows, prompts, tool and function calling, retrieval, memory, and backend services .

Posted 11/6/2026full-timeUnited StatesSenior💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and building AI agents, with a strong focus on LLM-powered applications and voice AI technologies. Proficient in Python and/or TypeScript, with experience in backend APIs, data management, and workflow orchestration in regulated environments.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingLLM-Powered Application DevelopmentVoice AI ExperienceHealthcare Compliance (HIPAA, EHR, FHIR)

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 EngineeringPromptingTool Use and Function CallingEvaluation DesignData AnalysisAgent OrchestrationFine-Tuning ModelsReal-Time Speech ProcessingWorkflow OrchestrationLLM Observability

Tools & Technologies

Backend APIsData ManagementTemporalSpeech-to-Text (STT)Text-to-Speech (TTS)Voice Activity DetectionTurn-TakingTelephony

Industry Keywords

HealthcareRegulated EnvironmentHIPAAEHRFHIR

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

Design, build, and ship AI agents end to end, including conversation flows, prompts, tool and function calling, retrieval, memory, and backend services
Build evaluation systems including offline test suites, simulated conversations, human review loops, and production monitoring
Improve instruction following, tool-calling reliability, latency, and cost across the LLM and speech stack
Help design and build the next-generation voice agent platform, selecting models and architecture based on quality, latency, and cost
Partner with clinical, product, and customer teams to turn scheduling, refills, billing, and post-discharge workflows into reliable agent behavior
Analyze real conversations and failure cases, then implement prompt, tool, model, or product changes
Build internal tools to observe, monitor, and analyze agent behavior at scale
Track new models and tooling and bring useful capabilities into production quickly
Ship multiple production agents with health system partners, build the required eval suite, and improve production agent performance

Requirements

What you’ll need

5+ years of professional software engineering experience
1+ year building and shipping LLM-powered applications in production
Strong proficiency in Python and/or TypeScript
Experience with backend APIs and data, with enough frontend to ship a complete feature
Hands-on experience with prompting, tool use and function calling, RAG, structured outputs, and agent orchestration
Experience designing evals and using data to decide what to fix next
Voice AI or real-time speech experience, including STT, TTS, voice activity detection, turn-taking, and telephony (preferred)
Fine-tuning or post-training experience with open or hosted models (preferred)
Experience in healthcare or another regulated environment, including HIPAA, EHR, and FHIR (preferred)
Experience with workflow orchestration, such as Temporal (preferred)
Familiarity with LLM observability and tracing tools (preferred)

Benefits

Comp & perks

Meaningful equity
Comprehensive health insurance
Dental insurance
Vision insurance
401(k) plan
Learning budget / conferences / additional benefits