Senior Software Engineer – Applied Generative AI

SquareTrade•Denver, CO

3h•$150,000 - $170,000•Hybrid

About The Position

We’re looking for a Senior Software Engineer to help build and scale our Applied Generative AI ecosystem. You will work hands‑on across Agentic workflows, Retrieval‑Augmented Generation (RAG) systems, and production‑grade LLM integrations. This role blends deep engineering with practical AI application, contributing to systems that are secure, reliable, and built for enterprise scale. You will collaborate closely with technical leads, product partners, and data scientists to turn experimental AI ideas into robust production features.

Requirements

Bachelor’s Degree in Computer Science or related field
5+ years of software engineering experience, including backend development
Strong proficiency in Python and API development
Hands-on experience with Generative AI including RAG, vector databases, and LLM APIs
Experience with agent frameworks such as Google ADK, Semantic Kernel, or CrewAI
Experience building distributed systems on AWS or Azure using Kubernetes/Docker

Nice To Haves

Ability to read/debug Java/Spring codebases
Familiarity with fine-tuning or RLHF
Background in fintech, insurance, or e-commerce

Responsibilities

Technical Architecture & System Design
Contribute to the design of scalable GenAI systems, including RAG pipelines and autonomous agents integrated with core claims platforms.
Implement standards for agent orchestration using frameworks such as Semantic Kernel, Google ADK, or CrewAI.
Support decisions on model selection, vector storage, and cloud infrastructure to balance performance, reliability, and cost.
Hands-on Engineering
Write high-quality Python code for production AI services, following strong testing and observability practices.
Develop backend logic and APIs that connect modern AI systems with existing Java/Spring services.
Optimize Kubernetes/Docker-based infrastructure to meet the concurrency and compute demands of LLM workloads.
LLMOps & Production Excellence
Build components of LLMOps pipelines, including prompt versioning, evaluation workflows, and automated regression testing.
Implement observability tooling to track token usage, drift, latency, and error patterns.
Participate in incident response and root cause analysis to ensure high availability and reliability.
Collaboration & Technical Influence
Collaborate with senior and lead engineers through code reviews and design discussions.
Translate product requirements into technical tasks and contribute to roadmap planning.
Promote experimentation and best practices while maintaining a focus on security and stability.

Benefits

Medical, dental and vision coverage with network optionality and the ability to contribute to a savings account (HSA or FSA)
Up to 4% company match into 401(k) and contributions into your company-sponsored pension
$75/month budget to help prioritize your physical wellbeing
$80/month stipend to subsidize connectivity costs
Mental health resources including free 1:1 therapy, coaching sessions and digital resources
Supportive leave policies
Flexible Time Off Policy in addition to 9 Company Holidays
Tuition reimbursement up to $5,250 per year to further your personal educational advancement desires
Hybrid work arrangements with regular investment in gatherings/offsites to spend time together as team
Various corporate perks and discounts