AI / Software Engineer - AI Agents & Voice AI

Qualifications

• Prompt engineering, fine-tuning, evaluation, and guardrails
• Speech-to-Text / Text-to-Speech (Whisper, Deepgram, Google, AWS, Azure)
• Cloud & DevOps:
• AWS, Azure, or GCP
• Ideal Experience
• Strong programming fundamentals with an ability to move fast without sacrificing quality
• Hands-on experience building AI-powered or conversational systems
• Comfort rapidly prototyping, testing, and refining tools based on user feedback
• Experience integrating third-party AI APIs and deploying production services
• Strong problem-solving skills and ownership mindset
• Agile collaboration in cross-functional teams
• Experience with Voice AI, call center technology, or healthcare workflows
• Exposure to HIPAA-compliant systems or regulated environments

Benefits

• Salary Range: $100,000 – $175,000 (based on experience and skills) + Annual Bonus
• We Offer a Comprehensive Benefits Package, Including:
• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

Responsibilities

• This role is hands-on and execution-focused—you’ll move quickly from idea to production, fine-tuning models and tools until they are genuinely useful for end users in high-stakes healthcare environments
• You will collaborate closely with product, clinical, and data teams to deploy intelligent systems that automate workflows, enhance conversations, and improve outcomes
• Design, build, and deploy AI agents that support clinical and operational workflows
• Develop and optimize Voice AI systems for real-time, natural conversations with patients and providers
• Rapidly prototype, test, and iterate on AI-driven tools based on real user feedback
• Fine-tune and adapt models (LLMs, speech, NLP) to improve accuracy, reliability, and usefulness
• Integrate AI services into production applications via APIs and event-driven architectures
• Collaborate with clinicians and product teams to translate real-world needs into AI solutions
• Ensure systems meet performance, security, privacy, and reliability requirements
• Participate in architecture discussions and technical decision-making as platforms scale
• Contribute clean, well-documented, and testable code in a fast-moving environment
• NLP, conversation state management, agent orchestration
• Python (FastAPI, Flask), Node.js
• REST and real-time APIs (WebSockets, streaming)
• Event-driven and workflow-based architectures
• PostgreSQL, MongoDB, Redis, vector databases
• Logging, tracing, and monitoring for AI systems

Full Description

Job Description

If interested in position, please fill out this form: as accurately as you can.

Only candidates who fill out the form will be considered for the position.

Roles: AI Software Engineer, Applied AI Engineer, Voice AI Engineer, Product Technologist

(Title and level will be commensurate with education and experience)

Location: Onsite – San Diego, CA (No remote)



Preferred Qualifications: MS or PhD in Computer Science, AI, or related field (BS acceptable with strong applied experience)

Salary Range: $100,000 – $175,000 (based on experience and skills) + Annual Bonus

Overview

Join our San Diego-based engineering team to design, build, and rapidly iterate on AI agents and Voice AI systems used by clinicians, pharmacists, and patients at scale.

This role is hands-on and execution-focused—you’ll move quickly from idea to production, fine-tuning models and tools until they are genuinely useful for end users in high-stakes healthcare environments.

You will collaborate closely with product, clinical, and data teams to deploy intelligent systems that automate workflows, enhance conversations, and improve outcomes.

Key Responsibilities

• Design, build, and deploy AI agents that support clinical and operational workflows

• Develop and optimize Voice AI systems for real-time, natural conversations with patients and providers

• Rapidly prototype, test, and iterate on AI-driven tools based on real user feedback

• Fine-tune and adapt models (LLMs, speech, NLP) to improve accuracy, reliability, and usefulness

• Integrate AI services into production applications via APIs and event-driven architectures

• Collaborate with clinicians and product teams to translate real-world needs into AI solutions

• Ensure systems meet performance, security, privacy, and reliability requirements

• Participate in architecture discussions and technical decision-making as platforms scale

• Contribute clean, well-documented, and testable code in a fast-moving environment

Representative Technologies

(Familiarity with similar tools is welcome)

AI & ML:

• Large Language Models (OpenAI, Anthropic, open-source LLMs)

• Prompt engineering, fine-tuning, evaluation, and guardrails

• Speech-to-Text / Text-to-Speech (Whisper, Deepgram, Google, AWS, Azure)

• NLP, conversation state management, agent orchestration

Backend & Systems:

• Python (FastAPI, Flask), Node.js

• REST and real-time APIs (WebSockets, streaming)

• Event-driven and workflow-based architectures

Data & Storage:

• PostgreSQL, MongoDB, Redis, vector databases

• Logging, tracing, and monitoring for AI systems

Cloud & DevOps:

• AWS, Azure, or GCP

• Docker, CI/CD pipelines, infrastructure-as-code

Ideal Experience

• Strong programming fundamentals with an ability to move fast without sacrificing quality

• Hands-on experience building AI-powered or conversational systems

• Comfort rapidly prototyping, testing, and refining tools based on user feedback

• Experience integrating third-party AI APIs and deploying production services

• Strong problem-solving skills and ownership mindset

• Agile collaboration in cross-functional teams

Bonus:

• Experience with Voice AI, call center technology, or healthcare workflows

• Exposure to HIPAA-compliant systems or regulated environments

We Offer a Comprehensive Benefits Package, Including:

• 401(k) with company matching

• Health, dental, and vision insurance

• Paid time off (PTO)

• Tuition reimbursement

• Employee discounts