As a member of the Enterprise Product Development Team, the Senior AI Software Engineer designs and builds intelligent, AIpowered conversational platforms and automation solutions. This role focuses on applying large language models (LLMs) to realworld use cases such as chat experiences, document understanding, and workflow automation. The Senior AI Software Engineer collaborates closely with product, engineering, and platform teams to deliver secure, scalable, and reliable AI solutions that improve how employees and clients interact with benefits and enterprise systems.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Design and build AIpowered conversational and automation platforms used in production
- Develop and maintain RetrievalAugmented Generation (RAG) pipelines for complex content such as benefit documents and policies
- Build intelligent agents that automate multistep business workflows
- Integrate large language models (LLMs) into enterprise and legacy systems in a secure and compliant way
- Implement guardrails, monitoring, and humanintheloop checkpoints to ensure AI outputs are reliable and auditable
- Improve AI response quality through prompt engineering, testing, and optimization
- Design data ingestion pipelines to process unstructured content like PDFs and benefit summaries
- Apply modern retrieval techniques (vector search, keyword search, reranking) to improve answer accuracy
- Deploy AI solutions using cloudnative architectures (serverless and containerbased)
- Monitor and optimize system performance, latency, and cost
- Participate in design discussions and contribute to technical decisionmaking
- Mentor team members and share best practices
- Perform other jobrelated duties as assigned
REQUIRED SKILLS AND ABILITIES
- Strong software engineering experience with Python and/or JavaScript
- Handson experience building AI or machinelearning powered applications
- Experience working with LLMs, embeddings, and vector databases
- Familiarity with RAG architecture and modern AI tooling
- Experience deploying and operating services in the cloud (AWS preferred)
- Understanding of secure system design and enterprise integrations
- Strong communication skills and ability to work crossfunctionally
- Ability to work in an agile, fastpaced environment
KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS
- Bachelor’s degree in Computer Science, Engineering, or a related field preferred, but not required
- Equivalent professional experience accepted in place of a degree
- 6+ years of professional software engineering experience
- Experience building and supporting production systems
- Experience in healthcare, benefits, or other regulated industries is a plus
Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve.
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