Lead Software Engineer
EXLAbout the role
🚀 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.
âś… 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.
Responsibilities
- Drive the design and delivery of scalable, high-performance applications powered by LLMs and AI workflows
- Set engineering standards and mentor peers
- Partner with stakeholders to turn complex business problems into production-ready solutions
Qualifications
- 5+ years of software engineering experience
- 2+ years as a Technical Lead or equivalent role
- Strong expertise in Python and modern API frameworks
- Experience with Google Cloud Platform and cloud-native application development
- Hands-on experience with Kubernetes, Docker, and CI/CD practices
Skills mentioned
About EXL
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.