Sr. Software Engineer

Lumeris•Massachusetts, MA

4d•$122,335 - $166,115•Remote

About The Position

We’re seeking a Senior Software Engineer to join an AI Agent team, working across the core agent service, conversation processing, and voice/text bot capabilities that power Tom's conversations with patients and providers. This is a true full-stack role. Our engineers move fluidly across front-end, back-end, database, and infrastructure work rather than staying in one lane — and this role is built the same way. You'll work closely with our product team and our prompt engineering team as part of the day-to-day.

Requirements

Bachelor's Degree in Computer Science/ relevant field or equivalent
5 or more years of software development experience in an enterprise environment, with a proven track record of delivering production software, or the knowledge, skills, and abilities to succeed in the role.
Experience building AI-based applications and integrating Generative AI APIs (e.g., OpenAI, Bedrock, Vertex AI).
Hands-on cloud experience; Google Cloud Platform strongly preferred, AWS experience also valuable.
Demonstrated understanding of Object Oriented Programming techniques and methodologies in Java, web MVC frameworks, Responsive web design, RESTful web services that meet industry standard maturity models, and schema design/data access methodologies in both relational databases and NoSQL databases

Nice To Haves

Experience with infrastructure-as-code (Terraform) a plus.
Previous experience in the healthcare industry
Hands-on experience in the Cloud; specifically GCP
Hands-on experience with Open-Source projects
DevOps exposure, including CI/CD pipelines and application observability (logging, metrics, tracing).
Experience with containers and container orchestration (e.g., Docker).

Responsibilities

Delivers well-tested, peer-reviewed work on time, taking ownership of the quality of what ships and helping resolve issues and errors as they arise.
Participates in all phases of the software development lifecycle, from requirements gathering and design to coding and testing, working with cross-functional teams in a highly collaborative environment (Development Leads, Architects, Quality Engineers, DBAs, Product Managers, and Healthcare experts)
Participates in a weekly on-call rotation, responding to production incidents and coordinating release and change management — including presenting production changes to a broader review group and coordinating testing and hotfixes with QA.
Develops AI-enabled applications using Python and React.
Integrates Generative AI APIs such as OpenAI, Amazon Bedrock, and Google Vertex AI.
Evaluates the quality, safety, latency, and cost of generative AI functionality using appropriate testing and evaluation practices.
Develops the data access layer that interfaces with cloud databases such as Google Cloud SQL, Amazon Aurora, and PostgreSQL.
Develops the skills of colleagues through peer collaboration, mentoring, and code review as they grow into the role.