Python with AI Engineer

Overview

On Site
Depends on Experience
Contract - W2

Skills

A/B Testing
API
Amazon Web Services
Analytical Skill
Artificial Intelligence
Autogen
Brand
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Customer Relationship Management (CRM)
Data Flow
Data Management
Data Processing
Data Science
Database Design
DevOps
Docker
Evaluation
FOCUS
Good Clinical Practice
Google Cloud Platform
HIPAA
HL7
Health Care
Health Insurance
Industry-specific
Interactive Voice Response
Interfaces
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)

Job Details

We are seeking a talented and experienced AI and Python Engineer to design, develop, and deploy cutting-edge phone integration solutions for our Agentic AI platform within the health insurance sector. This pivotal role involves building intelligent, autonomous agents on an Interactive Voice Response (IVR) system to streamline member interactions, automate workflows (e.g., claims processing, benefits verification), and enhance the overall member experience. The ideal candidate will combine deep agentic AI expertise with strong software engineering skills, a solid understanding of healthcare data standards, and a proven track record of implementing robust AI safety and guardrail mechanisms.
Key Responsibilities
  • Design and Development: Architect and build agentic AI systems and multi-agent workflows using Python and frameworks like LangChain, LangGraph, or AutoGen, specifically for voice/telephony interfaces on an IVR platform.
  • AI Safety & Guardrail Implementation: Design, implement, and enforce technical safety mechanisms across the AI system lifecycle to prevent privacy breaches (e.g., PII/PHI leaks), mitigate hallucinations, and ensure responses align with corporate policies and brand values.
  • Phone/IVR Integration: Develop robust phone integration capabilities, leveraging VoIP, RESTful APIs, and other relevant technologies to ensure seamless data flow between the IVR platform, enterprise systems (EHR/CRM), and the AI agents.
  • LLM Integration & Prompt Engineering: Utilize and fine-tune Large Language Models (LLMs) for natural language processing (NLP) and develop structured prompts, function calling mechanisms, and memory systems to enable agents to reason, plan, and execute multi-step healthcare tasks autonomously.
  • Healthcare Domain Expertise: Apply a deep understanding of healthcare workflows, data standards (e.g., HL7, FHIR), and regulatory requirements (e.g., HIPAA) to ensure all AI solutions are compliant, secure, and patient-centered.
  • Testing and Evaluation: Implement comprehensive evaluation frameworks, including adversarial testing agents, offline/online LLM evaluations, and A/B testing, to measure agent performance (accuracy, hallucination rate, safety) and continuously improve system reliability and compliance.
  • Deployment and MLOps: Deploy scalable AI solutions in cloud environments (AWS, Azure, Google Cloud Platform) using Docker and Kubernetes, and manage the AI development lifecycle with CI/CD pipelines, observability, and cost optimization.
  • Collaboration: Work closely with cross-functional teams, including product managers, data scientists, software engineers, and legal/compliance teams, to translate business requirements into safe and compliant technical solutions.
Required Skills and Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • Experience:
    • Proven experience (e.g., 4+ years) in AI/ML engineering, with a focus on agentic AI systems, conversational AI, or autonomous agents.
    • Hands-on experience in developing and integrating solutions within IVR or telephony platforms.
    • Experience working in the healthcare or health insurance industry, with knowledge of industry-specific nuances and compliance standards (HIPAA).
    • Demonstrable experience in building and implementing technical guardrails for LLM-powered applications to ensure data privacy and mitigate risks.
  • Technical Skills:
    • Proficiency in Python: Essential for developing and integrating AI agents and workflows.
    • AI Frameworks: Experience with agent orchestration frameworks (LangChain, AutoGen) and guardrail-specific tools/libraries (e.g., NeMo Guardrails, guardrails-ai package, AWS Bedrock Guardrails).
    • NLP and LLMs: Strong understanding of NLP concepts and practical experience in working with LLMs, prompt engineering, and RAG pipelines.
    • API/Systems Integration: Expertise in REST API development and integrating with enterprise systems like CRM, EHR, or claims processing platforms.
    • Cloud & DevOps: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform), Docker, Kubernetes, and CI/CD pipelines.
    • Data Management: Knowledge of data processing, vector stores, and database design (SQL/NoSQL).
  • Soft Skills: Strong analytical and problem-solving skills, excellent communication and collaboration abilities, and a commitment to ethical AI practices and patient privacy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.