| Gen AI Tech Lead (Generative AI & Agentic Systems) at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3201357&uid=a6997793f7df48d9b553ae9b915545ad From: Raj Methre, Centraprise [email protected] Reply to: [email protected] Hi Team, Greetings from Centraprise, Job Role- Gen AI Tech Lead (Generative AI & Agentic Systems) Location: New Jersey (Hybrid) Experience Level: Senior (13+ years in IT/Software, 2+ years in Generative AI, 5+ Years in AWS) Job Summary We are looking for a highly skilled AI Engineer to lead the design and implementation of next-generation Generative AI solutions using the AWS Bedrock platform. In this role, you will be responsible for architecting robust Retrieval-Augmented Generation (RAG) pipelines and building autonomous AI Agents that can plan, reason, and execute complex business workflows. The ideal candidate has a deep understanding of Large Language Models (LLMs), experience with vector databases, and a proven track record of deploying production-grade AI applications within the AWS ecosystem. Key Responsibilities Architect RAG Systems: Design and optimize end-to-end RAG workflows using Amazon Bedrock Knowledge Bases, ensuring high retrieval accuracy and minimal hallucination. Develop AI Agents: Build and deploy intelligent agents using Agents for Amazon Bedrock to automate multi-step tasks, integrating them with enterprise APIs and Lambda functions. Model Selection & Tuning: Evaluate and select the best foundation models (e.g., Claude 3.5, Llama 3, Amazon Titan) for specific use cases based on performance, latency, and cost. Vector Database Management: Implement and manage vector stores such as Amazon OpenSearch Serverless, Pinecone, or pgvector to support semantic search capabilities. Prompt Engineering: Develop and iterate on complex system prompts and advanced prompting techniques (Chain-of-Thought, ReAct) to improve agent reasoning. Security & Guardrails: Implement Amazon Bedrock Guardrails to ensure responsible AI practices, including PII masking and content filtering. Performance Evaluation: Use frameworks like Ragas or TruLens to systematically evaluate RAG performance (faithfulness, relevancy) and agent success rates. Technical Qualifications Programming: Expert-level proficiency in Python and experience with asynchronous programming. Familiarity with Java or Node.js is a plus. AWS Ecosystem: Hands-on experience with AWS Bedrock, Lambda, S3, DynamoDB, IAM, and Step Functions. AI Frameworks: Deep knowledge of orchestration frameworks like LangChain, Lang Graph, or LlamaIndex. Data Engineering: Experience building ETL pipelines for unstructured data (PDFs, HTML, Markdown) to feed into knowledge bases. DevOps/MLOps: Proficiency in CI/CD for AI, including model versioning and monitoring using Amazon CloudWatch. Preferred Skills Experience with GraphRAG using Amazon Neptune. Background in Banking/Financial Services or Wealth Management domains. AWS Certified Machine Learning Specialty or AWS Certified AI Practitioner. Contributions to open-source AI projects. Note :- Please Add My Email ID To Your Distribution and Share Your Updated Hotlist Thanks & Regards Raj Methre Sr Acquisition Specialist Centraprise corp, [email protected] Desk: + 1 732-476-5515 *(1025) linkedin.com/in/raj-b-methre-720b55223 Keywords: continuous integration continuous deployment artificial intelligence javascript sthree information technology Idaho Gen AI Tech Lead (Generative AI & Agentic Systems) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3201357&uid=a6997793f7df48d9b553ae9b915545ad |
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| 06:59 PM 11-Mar-26 |