Java Developer
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Job description
Design and architect enterprise-grade AI/ML-powered Java applications on AWS cloud infrastructure Define technical standards, patterns, and best practices for AI integration within Java ecosystems Lead end-to-end architecture for microservices, APIs, and data pipelines supporting ML model serving Conduct architecture reviews, threat modeling, and performance benchmarking Mentor senior engineers and guide cross-functional teams on AI-first design principle, Minimum years of experience: 8-10 years Certifications Needed: No Top 3 responsibilities: Define technical standards, patterns, and best practices for AI integration within Java ecosystems Lead endtoend architecture for microservices, APIs, and data pipelines supporting ML model serving Conduct architecture reviews, threat modeling, and performance benchmarking Interview Process (Is face to face required?): Yes Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company., Job Title: Java Developer Work Location & Reporting Address Saint Louis, MO 63131 Contract duration 12+ Months Interview Process (Is face to face required?) Yes Must Have…
- 5 days ago, Job Title: Sr. Java Full Stack Developer Location: St. Louis, MO Duration: 6+ Months - Contract Experience: Minimum Years’ experience: 8 - 10+ Years - is a MUST An Ideal Candi…
- 21 days ago, Need Java Full Stack Developer Location: St. Louis, MO Duration: 6+ Months MUST HAVE SKILLS: 8+ years’ experience in JAVA, J2EE 4+ years of experience using Spring / Spring…
- 21 days ago +
Requirements
Core Java & Architecture Java 21+, Spring Boot, Spring AI Microservices, event-driven architecture (Kafka, SQS/SNS) REST/GraphQL API design, gRPC Design patterns, Enterprise architecture and scaling AI / ML Integration Experience with Agentic AI / multi-agent frameworks at enterprise scale. LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock RAG architectures, vector databases (OpenSearch, Pinecone, pgvector) Model serving, inference optimization, prompt engineering Spring AI, Langgraph, Google ADK, A2A, MCP. Prompt Engineering, prompt caching, Token optimization. AWS Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security AI: Bedrock, Agent Core., B.E./B.Tech/M.Tech in Computer Science or related field
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