Full Stack and AI Engineer

UnitedHealth Group•Basking Ridge, NJ

2d•$91,700 - $163,700•Remote

About The Position

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

8+ years of professional software engineering experience building backend systems in Java and/or Python
3+ years of experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency
3+ years of experience in cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD
2+ years of experience with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning)
2+ years of experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns)
1+ years of experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools)
Strong problem-solving, communication, and ability to lead technical design discussions

Nice To Haves

Bachelor’s or Master’s degree in Computer Science (or equivalent practical experience)

Responsibilities

Design, build, and maintain scalable backend services and APIs using Java and Python
Architect and implement event-driven/microservices solutions using Kafka (topics, partitions, consumer groups, schemas, retries/DLQs)
Model, optimize, and maintain relational and/or NoSQL databases (schema design, indexing, query tuning, migrations)
Develop data processing pipelines (streaming and batch) with strong focus on reliability, observability, and performance
Build and integrate AI/ML-powered features (model inference services, prompt orchestration, vector search, or ML pipelines) and collaborate with data science teams
Ensure production readiness: CI/CD, automated testing, monitoring/alerting, and incident response/root-cause analysis
Enforce engineering best practices: code reviews, secure coding, documentation, and mentoring junior engineers
Collaborate cross-functionally with product, QA, platform/SRE, and stakeholders to deliver roadmap initiatives
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI