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Senior Software Engineer

Remote / Online - Candidates ideally in
Portsmouth, Rockingham County, New Hampshire, 00215, USA
Listing for: Liberty Mutual Insurance
Full Time, Remote/Work from Home position
Listed on 2026-09-14
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

Description

You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.

At Liberty, you'll thrive in a hybrid setting that fosters in‑person collaboration, innovation and growth. This approach optimizes both remote and in‑person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. This position follows a hybrid work model (2 days onsite) and is open to candidates located in Portsmouth, NH;
Boston, MA;
Plano, TX;
Indianapolis, IN; and Columbus, OH.

Want to work at the leading edge of emerging technology and rapidly expand your engineering skill set? Join Best Coding Squad (BCS), where we develop full‑stack solutions with a strong focus on data and insights. Our applications feature cutting‑edge GenAI capabilities, agentic workflows, and embedded predictive models (pricing, risk selection, desirability, and more) that streamline manual processes and improve decision‑making for our users.

As part of BCS, you'll join a cross‑functional team of Data Scientists, Data Engineers, and Software Engineers, working together to design data‑centric solutions for our business stakeholders. Together, we build, test, and maintain the technical architecture behind our applications, data pipelines, databases, APIs, and predictive model workflows.

The ideal candidate is a strong communicator with excellent self‑motivation and a proactive approach to learning. A growth mindset is essential as we're constantly exploring new and emerging technologies at the frontier of AI.

Responsibilities
  • Design and develop technical solutions as part of an agile team
  • Work in a dynamic and exciting agile environment with Scrum Masters, Product Managers, and team members to develop creative data‑driven solutions that meet business and technical initiatives
  • Work directly with data scientists to provision data for model development and AI workflows
  • Interact with internal stakeholders and the core development team to refine the product backlog
  • Automate and execute all levels of testing (unit, integration, and regression)
  • Design and develop solutions to support ingestion, curation, and provisioning of complex enterprise data to achieve analytics, reporting, and data science
  • Support custom applications through their entire lifecycle
  • Proactively avoid and eliminate technical debt
  • Champion engineering excellence
  • Foster a learning/growth mindset and model it for others
Skills / Technologies
  • Programming

    Languages:

    Python, Type Script/Node.js
  • Frontend:
    React
  • Data: SQL and relational database concepts, Postgres / pgvector
  • Service Architecture:
    Microservices, REST APIs, JSON, Postman
  • CI/CD:
    Git Hub Actions (preferable) or equivalent experience such as Bamboo, Jenkins, or Azure Dev Ops
  • AWS: CDK, Glue, Lambdas, S3, Step Functions, DynamoDB, ECS, Fargate, SQS, API Gateway, Agent Core
  • Observability:
    Data Dog, MLflow 3
  • GenAI:
    Experience with LLM orchestration, search systems, and context engineering
Highly Competitive Candidates

Highly competitive candidates will have more than two of the following:

  • API development:
    Experience building and scaling APIs for both high‑throughput and low‑latency applications. Should be able to communicate architectural trade‑offs when designing complex API systems.
  • LLM expertise:
    Hands‑on experience invoking LLMs and running prompt experiments, plus the ability to articulate how LLM invocation patterns are treated in API design
  • Agent workflows:
    Experience building…
Position Requirements
10+ Years work experience
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