Bedrock Talent - Lead AI Engineer, Stealth Longevity AI Startup

Remote - USA$180k - $200k+ Equity1w ago

Remote Staff NA Cloud Computing Artificial Intelligence AI Engineer Python

Requirements

• Event-driven architecture (SNS/SQS) • LLMs & Generative AI • Retrieval-Augmented Generation (RAG) • Agentic AI Systems • CI/CD & Modern Cloud Infrastructure • Has 6–10+ years of software engineering experience. • Has built production AI or machine learning systems. • Has deep experience with Python and cloud-native architectures. • Has worked with LLMs, RAG pipelines, or agent-based systems. • Enjoys collaborating closely with Product, Design, and Data Science. • Has startup experience and enjoys building in ambiguous environments. • Writes clean, maintainable, production-quality code. • Wants to remain hands-on while helping shape technical direction. • Experience in healthcare or other regulated industries. • Familiarity with security, compliance, or audit requirements. • Experience at Series A or Series B startups. • Experience with Model Context Protocol (MCP) environments. • This Role Is Probably a Great Fit If... • You've always wanted to be one of the first engineering hires at an AI company. • You love building systems from scratch. • You enjoy both architecture and implementation. • You're excited about LLMs, agentic workflows, and modern AI infrastructure. • You want your technical decisions to directly influence the trajectory of a company. • You're energized by solving meaningful healthcare problems. • This Role Probably Isn't the Right Fit If... • You prefer managing large engineering organizations over writing code.

Responsibilities

• Design and build the company's AI-first platform architecture. • Develop agent-based systems, orchestration layers, and inference pipelines. • Build scalable data ingestion, transformation, and feature engineering pipelines. • Partner with Data Science to productionize machine learning models and AI systems. • Own engineering execution from planning through deployment. • Design reliable cloud infrastructure, APIs, and backend services. • Establish engineering best practices, testing standards, and CI/CD processes. • Ensure platform reliability, scalability, observability, and security. • Collaborate closely with Product, Operations, and executive leadership to deliver customer-facing solutions. • Event-driven architecture (SNS/SQS) • LLMs & Generative AI • Retrieval-Augmented Generation (RAG) • Agentic AI Systems • CI/CD & Modern Cloud Infrastructure • You're looking for an established engineering organization with mature processes. • You prefer incremental feature work over designing foundational systems.

Benefits

• $180K – $200K • Offers Equity • We believe compensation should be fair, competitive, and consistent. We benchmark our salaries against the market, reward impact over negotiation, and strive to make compensation decisions that are equitable, transparent, and aligned with each person's role, experience, and contributions. As an early-stage company, we also believe meaningful equity allows everyone to share in the long-term success of what we're building together. • Remote (U.S.) | Travel as Needed • At Bedrock Talent, we're intentional about the companies we represent. • We don't partner with every startup that comes our way. We work with founders we'd be excited to work for ourselves, companies solving meaningful problems, and teams we genuinely believe have the potential to build category-defining businesses. • This is one of those companies. • Our client is an early-stage healthcare AI company on a mission to improve health outcomes by leveraging artificial intelligence, data science, and clinical expertise to generate meaningful, actionable insights from complex health data. • The team is building an AI-native platform designed from the ground up—not by retrofitting AI onto existing software, but by making intelligent systems the foundation of the product. Working alongside experienced founders, healthcare leaders, and world-class advisors, you'll have the opportunity to help define both the technology and the company itself. • The company offers a competitive salary, meaningful early-stage equity, comprehensive healthcare benefits, generous PTO, and ongoing professional development support. • More importantly, this role offers the opportunity to help build the technical foundation of a company at a stage where your impact will be visible for years to come. • The best engineering opportunities don't come from maintaining someone else's architecture—they come from building your own. • This is one of those opportunities. • You'll help define the technical foundation of an AI-native healthcare platform, work alongside exceptional founders and technical leaders, and play a pivotal role in building technology that has the potential to improve healthcare at scale. • If you're excited by ownership, ambiguity, and building AI systems that solve meaningful problems, we'd love to connect.