Job description

Hiring Manager : Derek Gaudet 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 Data Science Tech (Reimagineers), 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 Reimagineers, 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 Traits Highly competitive candidates will have more than two of the following: • API development: Experience building andscaling 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 stores, and knowledge graphs • Experience with workflow observability, including prompt and model tracking tools (MLflow, LangSmith, or equivalent) Experience • Eight or more years of software engineering experience • Strong background in business operations and strategies, including global technology and financial services trends • Hands-on involvement with layered systems architectures, designs and shared software concepts • Familiarity with functional and system integration testing • Experience working in an agile environment Skills • Excellent negotiation, facilitation and consensus-building capabilities • Openness and adaptability to respond to fast-moving circumstances • Proficiency in multiple object-oriented programming languages and tools • Excellent oral and written communication skills • Aptitude for working in teams Knowledge • In-depth knowledge of diverse and emerging technologies, architectural concepts and principles • A deep understanding of layered solutions and designs • Awareness of policies regarding security and privacy • Understanding of backlog tracking, burndown metrics and incremental delivery Education • A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience Employees may apply for a new role after completing 12 months of employment in their current position. Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team. 10%

Requirements

Must-haves

Hiring Manager : Derek Gaudet
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 Traits
Highly competitive candidates will have more than two of the following:
API development: Experience building andscaling 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

Nice-to-haves

None flagged.

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Keywords to mirror

aiagilescrumpythontypescriptnode.jsreactsqlpostgresrestci/cdazureawsapillm

Platform: icims
Effort: medium

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