Senior Software Developer
Senior Software Developer (AI/RAG, Java Full Stack) Greenwood Village, CO (Remote Considered) | C2C
About the Role
Join a forward-thinking engineering team as a Senior Software Developer, leveraging your Java and full-stack expertise to build AI-powered, Retrieval-Augmented Generation (RAG) systems at scale. You’ll architect, develop, and deploy next-generation features on cloud-native platforms, collaborating with cross-functional teams in a dynamic, innovative environment. Responsibilities - Architect and implement end-to-end RAG pipelines, from document ingestion to LLM-based content generation - Build and optimize Java microservices using Spring Boot and Spring Cloud, ensuring high throughput and scalability - Integrate and manage vector databases (Pinecone, Weaviate, pgvector, OpenSearch) for performant retrieval workflows - Design and operate event-driven architectures, leveraging Kafka event streams for real-time data processing - Deploy and manage containerized solutions on AWS EKS, utilizing Helm charts for Kubernetes orchestration - Collaborate closely with data, platform, and product teams to define and drive technical direction - Mentor junior engineers, share best practices, and contribute to engineering standards - Ensure robust API development and maintain scalable, secure RESTful interfaces - Implement CI/CD pipelines and support monitoring/logging with tools like Harness and Splunk Required Skills and Experience - 6+ years of software development experience required; 9+ years preferred - Demonstrable experience designing and implementing RAG pipelines in production or advanced proof-of-concept settings - Advanced proficiency in Java, Spring Boot, and Spring Cloud - Hands-on expertise with vector databases and LLM orchestration frameworks (LangChain, LlamaIndex, etc.) - Experience deploying microservices on AWS EKS and writing Helm charts - Strong background with NoSQL databases (MongoDB, DocumentDB) and caching (Redis) - Familiarity with Kafka Connect or Kafka Streams - Working knowledge of AWS infrastructure, including EC2 management, networking, and IAM - Proficiency with CI/CD tools and monitoring platforms Preferred Skills - 9+ years of relevant software development experience - In-depth experience scaling microservices in large production environments - Exposure to the latest AI and machine learning frameworks and trends Benefits - Work on cutting-edge AI applications and shape the future of enterprise technology - Opportunity to lead, mentor, and grow within a high-impact engineering team - Collaborative, innovative culture with cross-functional exposure - Competitive compensation and potential for remote flexibility
How to Apply
Ready to advance your career and make an impact in AI-powered software development? Submit your resume and a brief cover letter highlighting your RAG and Java expertise. Qualified candidates will be contacted for a face-to-face interview.