USA_Engineer
Posted
Pay Rate Range: $50.00 - 51.47/hr.
GBAM Req ID:(phone number removed)
Role: Java + AI Engineer
Job Description:
Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
Translate business use cases into production ready AI solutions with measurable outcomes
Deep knowledge in Java streams technology
Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
Ensure Responsible AI, security, compliance, and data privacy by design
Support production deployments, performance tuning, and continuous improvement of AI systems.
48+ years of experience in software engineering, ML engineering, or AI solution development
Strong proficiency in Java and experience
Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Strong problem solving, communication, and stakeholder collaboration skills
Skills: AI and Automation
Experience Required: 6-8 years
Skills: Category Name Required Importance Experience SkillCategoryTest1_MN AI and Automation Yes 1 7+ years
GBAM Req ID:(phone number removed)
Role: Java + AI Engineer
Job Description:
Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
Translate business use cases into production ready AI solutions with measurable outcomes
Deep knowledge in Java streams technology
Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
Ensure Responsible AI, security, compliance, and data privacy by design
Support production deployments, performance tuning, and continuous improvement of AI systems.
48+ years of experience in software engineering, ML engineering, or AI solution development
Strong proficiency in Java and experience
Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Strong problem solving, communication, and stakeholder collaboration skills
Skills: AI and Automation
Experience Required: 6-8 years
Skills: Category Name Required Importance Experience SkillCategoryTest1_MN AI and Automation Yes 1 7+ years
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