Staff Engineer

Job Description

Role Summary

The Staff Engineer is responsible for leading the design, development, and delivery of the company’s core technology solutions, with a focus on scalable, secure, and high-quality software. This role combines hands-on engineering with technical leadership, serving as the senior-most individual contributor and a key technical authority within the organization. The Staff Engineer works closely with Product, Data Science, and Operations teams to deliver enterprise-grade SaaS capabilities, with a particular emphasis on AI-driven and agentic solutions in healthcare.

About One Health Link

One Health Link (OHL) is a fast-growing healthcare technology company transforming how

health plans engage, support, and navigate their members through the power of AI. Our AI-

native platform combines intelligent agents, healthcare data, advanced analytics, and

omnichannel engagement to deliver personalized experiences across complex healthcare

journeys. We partner with leading health plans and healthcare organizations to turn fragmented,

manual processes into intelligent, scalable experiences that improve member outcomes and

operational efficiency. As we continue to scale, we are building a high-performing team that

values ownership, speed, technical excellence, and disciplined execution.

Key Responsibilities

Technical Leadership

• Serve as the primary technical lead for high-priority projects, ensuring architectural soundness, scalability, and security.
• Set coding standards, development best practices, and technical review processes.
• Provide technical mentorship to engineering team members and contribute to professional development.

Hands-On Development

• Design and develop core product features, including AI/ML components, APIs, and integrations.
• Write high-quality, testable, and maintainable code following industry best practices.
• Collaborate with DevOps to ensure smooth deployment, monitoring, and maintenance.

Architecture & System Design

• Define and evolve system architecture to support current and future product needs.
• Evaluate and recommend technologies, tools, and frameworks for product development.
• Ensure architecture supports SOC 2, HIPAA, and other compliance requirements.

Cross-Functional Collaboration

• Partner with Product Management to translate requirements into technical specifications.
• Work with Data Science and AI teams to integrate models into production workflows.
• Collaborate with Customer Success and Operations to ensure solutions meet client performance expectations.

Quality, Security & Compliance

• Ensure all solutions meet internal quality standards, security guidelines, and compliance obligations.
• Participate in code reviews, threat modeling, and security audits.
• Maintain documentation of system design, configurations, and operational processes.

Required Qualifications

Education:  

• BA/BS in Computer Science, Engineering, or related field required.
• Advanced degree preferred.

Experience:

• 8+ years of software engineering experience, including 3+ years in a senior or lead engineering role.
• Proven track record building and scaling enterprise SaaS platforms.
• Experience with AI/ML development and deployment, preferably in healthcare technology.
• Strong background in cloud infrastructure (AWS, Azure, or GCP) and microservices architecture.

AI/Agentic Systems

• Proven track record of building  production-grade AI/ML systems (not just prototypes), including deploying, scaling, and monitoring in live environments.
• Hands-on experience with  multi-agent frameworks (e.g., LangGraph, crewAI, Autogen, custom orchestration) and ability to design agent-to-agent collaboration patterns.
• Experience implementing  retrieval-augmented generation (RAG)pipelines at scale, including data ingestion, indexing, retrieval optimization, and latency-sensitive inference.
• Strong familiarity with  Model Context Protocol (MCP)and other emerging standards for agentic interoperability.
• Multimodal application experience such as voice AI. 

Systems & Architecture

• Designed and led development of  distributed, high-scale platforms that integrate AI with traditional enterprise systems.
• Deep experience with  API design and integration (REST, gRPC, FHIR/HL7, EHR/claims data exchange).
• Knowledge of  secure, HIPAA-compliant architectures , data governance, and PHI-aware design.

Skills:

• Deep technical expertise in one or more programming languages (e.g., Python, Java, Go).
• Strong understanding of API design, database systems, and distributed architectures.
• Knowledge of security-by-design principles and compliance-driven development.

Role Classification

• Access to Systems/Data: Yes – requires privileged access to source code repositories, infrastructure configurations, and production environments.
• Security & Compliance Responsibility: Responsible for ensuring all developed solutions adhere to SOC 2, HIPAA, and company security standards; participates in security reviews, audits, and remediation activities.