Agentic AI Developer

Strata Decision Technology

$117K — $145K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6 years in software development, computer science, or data science/engineering roles.
  • Proficiency in Python and SQL for application development.
  • Hands-on AWS experience, including services like Amazon Bedrock and SageMaker.
  • Familiarity with LLM/GenAI model applications and RAG.
  • Experience with AI workflows, agent orchestration, and integrating AI into applications.
  • Strong skills in software engineering best practices including API development and CI/CD.
  • Excellent communication skills to convey technical concepts effectively.

Responsibilities

  • Design, develop, and deploy AI agents that solve business problems.
  • Collaborate with teams to create agentic workflows and AI applications.
  • Build robust multi-agent systems using best practices for orchestration and planning.
  • Prototype new AI frameworks and identify opportunities for improvement.
  • Create reusable AI services and components for broader adoption.
  • Implement automated evaluation pipelines and maintain production quality.
  • Partner with engineers to optimize AI model deployment and performance.

Benefits

  • Comprehensive health and welfare benefits.
  • Retirement benefits including 401(k) participation.
  • Paid time off, including parental leave.
  • Life and accident insurance coverage.
  • Access to discretionary variable pay programs.
Full Job Description
How You'll Make an Impact

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 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.

A Day in the Life
  • 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 Eval 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 Technology Stack

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:

Required: Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering
Preferred: Bedrock, LangGraph, MCP, eval frameworks, observability, Snowflake/dbt, healthcare data experience

What We're Looking For

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.

Required Qualifications
  • 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.

Preferred Qualifications
  • 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.

Estimated Salary Range: $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.

How we work: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

Thinking about applying?
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.

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