AI/ML engineer

Seeking Senior,jr and mid level Cloud AI Software Engineer for remote contract opportunity with my direct client . Total openings-4 Sr Developer:10 - 20 Years TECHNICAL SKILLS Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated contributions to open-source AI/ML/Cloud projects Demonstrated proficiency in Python and Golang coding languages Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain LLM Ph.D. in AI/ML/Data Science Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config) FinOps GENERAL FUNCTION: We are hiring a Distinguished Cloud AI Software Engineer who has actually built AI/ML applications not just read about them. You will operate as a trusted advisor in a hands-on capacity for the development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You ll design and deliver scalable, secure services that bring large language models into real operational use connecting them to live infrastructure data, internal documentation, and system telemetry. You ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. This is not a prompt-engineering sandbox or a resume keyword trap. If you ve merely dabbled in SageMaker, mentioned RAG on LinkedIn, or read about vector search this isn t the right fit. We re looking for candidates who have architected, developed, and supported AI/ML services in production environments. This is a builder s role within our Public Cloud AWS Engineering team. We aren t hiring buzzword lists or conference attendees. If you ve built something you re proud of especially if it involved real infrastructure, real data, and real users we d love to talk. If you re still learning, that s great too but this isn t an entry-level role or a theory-only position. DUTIES AND RESPONSIBILITIES: Design, develop, and maintain modular AI services on AWS using Lambda, SageMaker, Bedrock, S3, and related components built for scale, governance, and cost-efficiency. Lead the end-to-end development of RAG pipelines that connect internal datasets (e.g., logs, S3 docs, structured records) to inference endpoints using vector embeddings. Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks. Tune retrieval performance using semantic search techniques, proper metadata handling, and prompt injection patterns. Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems. Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform). Support the development and evolution of reusable platform components for AI/ML operations. Create and maintain technical documentation for the team to reference and share with our internal customers. Excellent verbal and written communication skills in English.

Javen Technologies is a global information technology company providing consulting, and outsourcing services. Our global delivery model, innovative approach, and industry knowledge allow us to provide cost-effective services that enable our clients to enhance business performance through technology. Javen Technologies is firmly committed to keeping our client success as priority number one. The key to our successful track record is our dedication to information technology services and the strong partnerships we've built with our clients. We aim to deliver excellence through our people, knowledge, and methodologies. We specialize in Web Technologies, IoT, Cloud, MOBILE, UI/UX, ML/AI, ERP, CRM, Data Warehousing, BIG Data, and System Integration. Javen Technologies has the expertise and capacity to deliver top-quality technology solutions globally, and a proven track record of helping our clients transform their businesses giving them a competitive edge in today's ever-changing marketplace.