Agentic AI Developer
Stratacareers
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Benefits offered by this job
Job summary
Strata is seeking an innovative AI developer to build agentic systems that empower healthcare providers with insights and automation. You will work within the AI Platform team to design and deploy scalable AI agents, leveraging the latest models and tool integrations.
You will collaborate across engineering, data science, and product stakeholders to translate requirements into practical, secure AI workflows, with emphasis on production readiness and responsible AI practices.
Qualifications
- 4-6 years of software development or data engineering experience.
- Experience with Python and SQL.
- Hands-on experience with AWS AI services, including Bedrock, SageMaker, and related tools.
- Strong understanding of LLM/GenAI model development, prompting, and MCP.
Responsibilities
- Design, develop, and deploy production-grade AI agents solving business problems across Strata's products and internal platforms.
- Collaborate with cross-functional teams to translate healthcare and business requirements into agentic workflows and AI-powered applications.
- Build multi-agent systems with agent orchestration, memory management, RAG, MCP, function calling, and tool integration.
- Evaluate emerging AI frameworks, foundation models, and tooling to improve product capabilities and platform performance.
- Develop reusable AI services, SDKs, prompt libraries, skills, evaluation frameworks, and agent components for scalable adoption.
- Implement automated evaluation, observability, guardrails, cost monitoring, and performance analytics for production quality and responsible AI.
Skills
Education
Tools
Job description
As an Agentic AI Developer at Strata, you will be at the forefront of building our next generation of intelligent agents. You will operate under the AI Platform team, working closely with architects, data scientists, platform engineers, and product leaders, you’ll design and implement advanced agentic AI solutions that enhance our platform’s ability to deliver insights, automation, and decision support.
Your contributions will directly impact how healthcare providers leverage financial, operational, and clinical data, helping them deliver exceptional patient care while strengthening their financial performance. By exploring new agentic patterns and incorporating the latest technologies, you’ll ensure Strata continues to lead in an evolving AI landscape.
- Design, develop, and deploy production‑grade AI agents that solve real business problems across Strata's products and internal platforms.
- Collaborate with cross‑functional teams to translate healthcare and business requirements into agentic workflows and AI‑powered applications.
- Build robust multi‑agent systems using best practices for agent orchestration, planning, memory management, Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), function calling, and tool integration.
- Evaluate and prototype emerging AI frameworks, foundation models, and developer tooling, identifying opportunities to improve product capabilities, engineering productivity, and platform performance.
- Develop reusable AI services, SDKs, prompt libraries, skills, evaluation frameworks, and agent components that enable scalable adoption across Strata teams.
- Implement automated evaluation pipelines, observability, guardrails, cost monitoring, and performance analytics to ensure production quality, reliability, security, and responsible AI practices.
- Partner with AI Platform engineers to optimize model deployment, performance, and infrastructure for enterprise scale.
- Contribute to AI architecture, coding standards, governance, and engineering best practices while mentoring teammates on modern agentic development patterns.
- Communicate technical designs, tradeoffs, and implementation strategies effectively with engineering, product, and healthcare stakeholders.
- Continuously explore advances in Agentic AI, reasoning models, multimodal AI, and autonomous systems, translating relevant innovations into practical business value.
Our platform is trusted by more than half of the nation’s leading healthcare providers, and our agentic AI capabilities are built on a modern stack:
Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering
Bedrock, LangGraph, MCP, evaluation frameworks, observability, Snowflake, dbt, healthcare data experience
We are seeking an innovative and hands‑on AI developer who is passionate about building agentic systems and transforming emerging AI technologies into secure, scalable, and production‑ready solutions. You enjoy experimenting with new models and frameworks, solving complex engineering challenges, and delivering measurable business value through AI.
- 4-6 years of experience in software development, computer science, or data science/engineering roles.
- Experience developing applications using Python and SQL.
- Hands‑on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker, S3, Lambda, and related AWS services.
- Experience working with modern foundation models through APIs or managed platforms.
- Strong understanding of LLM/GenAI model application development, including prompt/loop engineering, system instructions, tool calling, RAG, memory/context management, and MCP.
- Experience designing and implementing AI workflows, agent orchestration, and integrating AI capabilities into production applications.
- Knowledge of software engineering best practices, including API development, testing, version control, CI/CD, and cloud‑native application development.
- Strong analytical, problem‑solving, and debugging skills with the ability to quickly evaluate and adopt emerging AI technologies.
- Excellent communication skills with the ability to explain complex technical concepts to engineering, product, and healthcare stakeholders.
- Experience building and deploying agentic AI systems in production environments.
- Experience with agent frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar orchestration frameworks.
- Experience designing evaluation frameworks for LLM and agent applications, including automated testing, regression evaluation, hallucination detection, and quality measurement.
- Experience implementing AI safety mechanisms, including guardrails, content filtering, prompt injection mitigation, and responsible AI practices.
- Experience with observability and monitoring for AI systems, including tracing, token usage, latency, cost monitoring, and production diagnostics.
- Experience working with healthcare, financial, or other regulated industry data is a plus.
$117,000 - $145,000. Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well‑being benefits.
Find out more about Strata benefits here.
Our preferred location for open roles is Chicago, IL. We value in‑person connection and regularly host on‑campus events to create meaningful opportunities for our team to build relationships and collaborate.
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you’re currently reading this and hesitating to click “Apply” for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member’s unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward‑thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
- We connect with positive intent.
- We are helpful.
- We own it.
- We get better every day.
- We are humble.
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