Job Opening - Gen AI Data Engineer @ Pleasanton, CA (onsite 5 days a week)

Job Title: AWS AI Engineer Location: REMOTE USA TOP SKILLS: Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config) Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain Experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud Fine-tuning large language models, build

Role: AI Application Engineer Location: Santa Clara, CA (3 days onsite in a week) Duration: 13 months contract Required Skills: Minimum 13+ years of overall IT experience. 47 years of software engineering experience with at least 2 years focused on production LLM application development Expert-level experience with Python for AI/ML application development and async programming Strong expertise in prompt engineering including system prompts, few-shot prompting, and instruction tuning 3

Key ResponsibilitiesDesign and develop AI agents, autonomous systems, and conversational AI solutions (chatbots/voice bots)Build and optimize RAG-based AI applications using vector databases, embeddings, and prompt engineeringDevelop and deploy ML/LLM solutions using Python and PyTorchIntegrate AI capabilities into applications and servicesEvaluate and implement LLMs (OpenAI, Anthropic, Google, Meta, etc.) based on performance, latency, and costCollaborate with cross-functional teams to deliver

Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly to match skill supply and demand on a real-time basis. Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and