Noblesoft Technologies

Senior AI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Developer in Sunnyvale, CA, onsite for 5 days a week. Contract length and pay rate are unspecified. Requires expertise in AWS Bedrock, Python, RAG, embeddings, and agentic workflows, with strong debugging and optimization skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#REST API #"ETL (Extract #Transform #Load)" #Debugging #Deployment #AI (Artificial Intelligence) #Scala #Python #Hugging Face #Data Ingestion #Databases #Transformers #Automation #AWS (Amazon Web Services) #Programming #Cloud #Microservices #REST (Representational State Transfer) #Langchain
Role description
Senior AI Developer (AWS Bedrock & AI Workflows) Sunnyvale CA (Onsite 5 days in week) Senior AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines, RAG, embeddings, and vector databases. The ideal candidate should have strong experience in coding agentic workflows, implementing MCP, and integrating HIL and validation mechanisms into deployed systems. Key Responsibilities β€’ Develop and maintain AI workflows leveraging AWS Bedrock services. β€’ Implement data ingestion and transformation pipelines for model readiness. β€’ Build RAG-based applications integrating embeddings and vector databases. β€’ Implement agentic workflows and reasoning strategies for task automation. β€’ Integrate MCP (Model Context Protocols) into workflow design. β€’ Develop and test Human-in-the-Loop (HIL) workflows and validation strategies. β€’ Write clean, optimized, and reusable code for scalable AI services. β€’ Collaborate with architects and product managers to ensure alignment of solutions. β€’ Debug, optimize, and improve model performance across deployments. Required Technical Skills β€’ Hands-on experience with AWS Bedrock and AI service integrations. β€’ Strong programming skills in Python and experience with frameworks like LangChain, LlamaIndex, Hugging Face Transformers. β€’ Practical experience with RAG, embeddings, and vector databases β€’ Implementation experience with agentic workflows and multi-step reasoning. β€’ Understanding of Model Context Protocols (MCP) for context sharing. β€’ Knowledge of Human-in-the-Loop (HIL) validation and model governance. β€’ Experience working with REST APIs, SDKs, and microservices. β€’ Familiarity with cloud-based AI deployments (AWS). β€’ Strong debugging, testing, and optimization skills. β€’ Strong communication skills to work with cross-functional teams