International Association of Plumbing and Mechanical Officials (IAPMO)
AI / Software Engineer – AI Agents & Voice AI
International Association of Plumbing and Mechanical Officials (IAPMO), San Diego, California, United States, 92189
If interested in position, please fill out this form: https://forms.office.com/r/CxfhQBcLvD 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
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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
#J-18808-Ljbffr