Key skills
PythonLarge Language Models (LLMs)RESTful APIsAmazon BedrockAWS ecosystemVoice-based applicationsConversational AIPrompt engineeringFine-tuning AI modelsNatural language processing (NLP)Speech-to-text technologiesText-to-speech technologiesAgile development methodologiesCI/CDJavaAINLPNatural Language ProcessingGenerative AILLMLarge Language ModelsOpenAIAnthropicNode.jsAWSBedrockRESTfulAgile
About this role
Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The role involves designing, developing, and deploying AI-powered voice solutions, integrating large language models, and collaborating with teams to enhance voice bot capabilities.
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
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 of 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
- 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
- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy