About this opportunity
Hireclout lists this Senior AI Engineer (4647) opportunity in el segundo, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: Senior AI Engineer (LLM / Agent Systems)
Role Overview
Join a high-growth, venture-backed healthcare AI company building next-generation technology to transform clinical and operational workflows across post-acute care. The platform combines proprietary sensing technology, predictive analytics, and emerging AI capabilities to proactively identify risk and improve patient outcomes at scale.
The company is now expanding into a new AI-driven product layer focused on LLM-powered workflows and agent-based systems that unify clinical, operational, and financial data into a single intelligent interface. Think of it as a domain-specific AI platform enabling real-time decision-making across healthcare environments.
This role sits at the intersection of engineering, product, and customer delivery. You will design and deploy production-grade AI agents, work directly with customers, and play a key role in shaping how AI is applied in real-world clinical settings.
Key Responsibilities:
Design and deploy LLM-powered agents and workflows for real-world use cases (e.g., automation, insights, operational decisioning)
Translate ambiguous customer requirements into scalable, production-ready AI systems
Build and integrate pipelines across APIs, data platforms, and external systems (REST, webhooks, event streams)
Configure and optimize RAG pipelines, vector databases, and context management systems
Partner with Sales during pre-sales to prototype solutions, whiteboard architectures, and define implementation scope
Own end-to-end delivery from initial prototype through production deployment and iteration
Analyze system performance (accuracy, hallucination rates, outcomes) and continuously improve models and workflows
Collaborate cross-functionally with engineering, product, and customer stakeholders
Travel to customer sites (~25%) to support deployments, training, and executive presentations
Identify expansion opportunities and support additional use cases post-deployment
Education & Qualifications:
5–10+ years of experience in software engineering, AI engineering, solutions engineering, or similar hands‑on technical roles
Strong experience building and shipping production systems (not just prototypes or research work)
Proficiency with APIs, integrations, and backend development (Python, Node.js/TypeScript, or similar)
Experience working with LLMs and modern AI tooling (OpenAI, Anthropic, or similar ecosystems)
Familiarity with agent frameworks, RAG architectures, or context orchestration systems
Ability to operate in ambiguous environments and take full ownership of outcomes
Strong communication skills with the ability to translate complex technical concepts to non‑technical stakeholders
Comfortable working in a fast‑paced, high‑growth startup environment
Preferred Experience:
Hands‑on experience with tools such as LangChain, LangGraph, AutoGen, DSPy, or similar frameworks
Experience building AI systems that interact with real‑world data (e.g., time‑series, operational systems, or large‑scale datasets)
Background in regulated environments (e.g., healthcare, fintech, or similar)
Experience owning both pre‑sales and post‑sales technical delivery
Exposure to enterprise system integrations (e.g., event‑driven architectures, streaming, or workflow automation)
Advanced degrees (MS/PhD) from strong technical programs are valued but not required
Why Us:
Opportunity to build next‑generation AI systems with real‑world impact at scale
Work on a new product initiative centered around LLMs, agents, and intelligent workflows
High ownership role with direct influence on product direction and customer outcomes
Fast‑growing company with strong traction and significant enterprise demand
Work alongside a highly technical, mission‑driven team focused on meaningful problems
Exposure to both cutting‑edge AI and real‑world deployment challenges
Benefits and Perks:
$120k-220k DOE + bonus + equity
100% company‑paid medical, dental, and vision insurance
401(k) with company match
Generous PTO
Paid parental leave
Commuter benefits
Professional development support
Company retreats and team events
Applicants must be currently authorized to work in the United States on a full‑time basis now and in the future. This position does not offer sponsorship.
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Worksite address
el segundo, CA, 90245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.