Software Engineer

UnitedHealth Group•Boston, MA

8d•$72,800 - $130,000•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor’s degree in computer science OR equivalent software engineering experience
2+ years of experience building and deploying production-grade software applications
2+ years pf experience in Python
1+ years of experience working with Large Language Models (LLMs) and integrating them into software products
1+ years of experience designing and interacting with RESTful APIs

Nice To Haves

At least one modern programming language (e.g., Python, Java, or Node.js)
Hands-on experience with Amazon Bedrock and the broader AWS ecosystem
Background in developing voice-based applications or conversational AI (IVR, Alexa Skills, etc.)
Experience with prompt engineering and fine-tuning models from providers such as OpenAI or Anthropic
Familiarity with natural language processing (NLP) and speech-to-text/text-to-speech technologies
Knowledge of Agile development methodologies and CI/CD best practices

Responsibilities

Design, develop, and deploy AI-powered voice solutions to address complex business challenges with an emphasis on the responsible use of AI
Integrate and fine-tune various Large Language Models (LLMs) to enhance the intent recognition and conversational capabilities of voice bots
Architect and maintain scalable cloud-based services and APIs that support real-time voice interactions
Use enterprise-approved AI tools to streamline workflows, automate software development tasks, and drive continuous improvement within the engineering lifecycle
Collaborate with cross-functional teams to translate user requirements into technical specifications for generative AI agents
Evaluate emerging trends in conversational AI and LLM technologies to inform solution design and strategic innovation
Monitor and optimize the performance of voice bots to ensure high accuracy in query resolution and efficient routing
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI