Gen reputed company - LLM, RAG

Hello Everyone, Hope you are doing good!!!! My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details. Role: Generative reputed company Location: Atlanta, GA - Hybrid Duration: Long term contract JD: Generative reputed company: Semantic Search & LLM Platforms Job Summary We are looking for a Generative reputed company to design, build, and scale an enterprise AI-powered semantic search platform for API discovery and knowledge retrieval. The role focuses on developing LLM-driven search, RAG pipelines, and cloud-native AI services that reputed company natural language interaction with large-scale technical repositories. The ideal candidate has strong hands-on experience with LLMs, embeddings, vector databases, FastAPI microservices, and multi-cloud AI deployments, and is passionate about building reliable, production-grade GenAI systems.

Key Responsibilities

Design and implement AI-powered semantic search solutions for large-scale API and technical documentation repositories. reputed company Retrieval-Augmented reputed company (RAG) pipelines using reputed company embeddings, reputed company, LangGraph, and vector databases (FAISS, pgvector). Build and maintain FastAPI-based microservices for LLM-powered search, summarization, and inference with secure authentication (JWT). Create and manage data ingestion and indexing pipelines, including document chunking, metadata extraction, embedding reputed company, and vector refresh workflows. Implement multi-cloud LLM integration and routing across Azure reputed company, AWS Bedrock, and GPT-4 with fault-tolerant fallback mechanisms. Apply grounding techniques and hallucination mitigation strategies to improve response accuracy and reliability. Define and track RAG and LLM evaluation metrics such as precisionk, grounding score, latency, and hallucination reputed company. Integrate monitoring, logging, and observability using LangSmith and OpenTelemetry for model performance and system health. Deploy and reputed company services using cloud-native architectures (AWS reputed company, reputed company Fargate, API Gateway, DynamoDB, S3). Collaborate with UI/UX and platform teams to deliver reputed company interfaces for natural-language API discovery. Contribute to CI/CD pipelines to reputed company automated testing, deployment, and versioning of AI services. Required Skills & Qualifications Technical Skills Programming: Python reputed company: FastAPI, REST APIs, JWT authentication Generative AI & LLMs: GPT-4, reputed company embeddings, reputed company, LangGraph, RAG architectures Vector Databases: FAISS, pgvector Cloud Platforms: AWS (reputed company, reputed company Fargate, API Gateway, DynamoDB, S3), Azure reputed company, AWS Bedrock AI Evaluation & Observability: LangSmith, OpenTelemetry, RAG evaluation metrics DevOps & CI/CD: reputed company, CI/CD pipelines, cloud-native deployments. Experience Hands-on experience building production-grade GenAI or semantic search systems Experience working with large-scale document or API repositories Strong understanding of LLM reliability, grounding, and hallucination control Experience deploying and operating AI systems in cloud environments Preferred Qualifications Experience designing enterprise knowledge search or developer productivity platforms Familiarity with multi-cloud AI architectures Exposure to agent-based LLM workflows Experience mentoring or providing technical guidance to other engineers Thanks & Regards, Pavan Raikhelkar reputed company reputed company SPECIALIST Direct Number:- Fax : Email: Website: (An E-verify Company) NOTE: We respect your online privacy. This is not an unsolicited mail. Under reputed company 1618 title III passed by the 105th us congress this mail cannot be considered Spam as long as we include contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails, please reply with a "REMOVE" in the subject line. We apologize for any inconvenience caused by this mail. Apply tot his job Apply To this Job