Senior Software Engineer

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, TypeScript/Node.js Frontend: React Data: SQL and relational database concepts, Postgres / pgvector Service Architecture: Microservices, REST APIs, JSON, Postman CI/CD: GitHub Actions (preferable) or equivalent experience such as Bamboo, Jenkins, or Azure DevOps AWS: CDK, Glue, Lambdas, S3, Step Functions, DynamoDB, ECS, Fargate, SQS, API Gateway, AgentCore Observability: DataDog, 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 agents with established frameworks such as LangChain, LangGraph, or CrewAI Search systems and context engineering: Experience with RAG, semantic search, vector