Software Engineer

🚀

We're Hiring: Lead Software Engineer (AI / GenAI)

📍

Onsite — Hartford, CT

| Full-Time

We're looking for a

Lead Software Engineer

who blends deep software engineering craftsmanship with hands-on Generative AI expertise. In this role, you won't just prototype — you'll

architect, build, and operationalize enterprise-scale GenAI systems

that run reliably in production. If you thrive at the intersection of software architecture, cloud-native engineering, and applied AI, let's talk.

ABOUT THE ROLE:

As a technical leader on our team, you'll drive the design and delivery of scalable, high-performance applications powered by LLMs, RAG pipelines, and agentic AI workflows. You'll set engineering standards, mentor peers, and partner with stakeholders to turn complex business problems — especially in regulated, healthcare-adjacent environments — into production-ready solutions.

✅ Required Qualifications

Engineering & Leadership

• 5+ years of software engineering experience, including designing and supporting enterprise-scale applications

• 2+ years as a

  Technical Lead, Senior Engineer, or equivalent

  technical leadership role

• Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability

Core Technical Stack

• Strong expertise in

  Python

  application development and modern API frameworks (

  FastAPI, Flask

  , or similar)

• Experience designing and implementing

  microservices, distributed systems, and RESTful APIs

• Strong experience with

  Google Cloud Platform (GCP)

  and cloud-native application development

• Hands-on experience with:

• Kubernetes (GKE)

• Docker / Containerization

• CI/CD pipelines & DevOps practices

• GitHub

  and modern source control practices

• Experience developing

  event-driven and streaming solutions

  (Kafka or similar messaging platforms)

• Experience with cloud-native data technologies:

  BigQuery, BigTable, SQL

  , and large-scale data processing

Generative AI Expertise

• Hands-on experience implementing and operationalizing:

• Generative AI solutions

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• AI Agents & Agentic AI workflows

• Prompt engineering & model evaluation frameworks

• Experience integrating enterprise apps with AI platforms:

  Gemini, Vertex AI, OpenAI, Claude

  , or similar

🌟 Preferred Qualifications

Professional Skills

• Strong analytical, troubleshooting, and production support skills

• Excellent communication, collaboration, and stakeholder management

• Experience in

  healthcare, pharmacy benefit management (PBM), utilization management, or prior authorization

  operations

• Building

  AI-powered workflow automation and decision-support systems

• Deploying and managing AI applications in

  regulated environments

• Familiarity with

  MLOps, AI governance, model monitoring, and responsible AI

  practices

• Experience with

  cloud migration and modernization

  initiatives

• Leading architecture reviews, mentoring engineers, and driving engineering best practices

• Exposure to

  document intelligence, OCR, intelligent automation

  , and business process automation platforms

• Experience with

  healthcare data standards, secure data processing, and compliance

  requirements

🎓 Education & Certifications

• Master's Degree preferred

  in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field

• Relevant industry certifications in

  Cloud Computing, Kubernetes, or AI/ML

  (e.g., Google Cloud Professional certifications, Kubernetes certifications, AI/ML certifications)

💡

Why this role?

You'll have real ownership to shape how AI gets operationalized at enterprise scale — building systems that make a measurable impact in a mission-driven, regulated domain.