Numeric Technologies - AI/ML Engineer - LLM/RAG

Position : AI/ML EngineerExperience : 6+ YearsLocation : BLRShift : 3 PM to 11 PMNotice Period : 0 to 15 daysJob Summary : We are seeking a hands-on Senior AI Engineer (5-7 years experience) to design and build enterprise-grade Agentic AI applications within the AWS ecosystem.The ideal candidate has strong Python development experience, practical exposure to Large Language Models (LLMs), and hands-on experience building Retrieval-Augmented Generation (RAG) and multi-agent workflows using frameworks such as LangChain/LangGraph or similar.This role focuses on designing, integrating, deploying, and operating AI-powered services on AWS, ensuring scalability, security, reliability, and cost efficiency.Key Responsibilities : - Design and implement Agentic AI workflows using LLMs (OpenAI, Bedrock, or equivalent).- Develop Python-based backend services for : Model orchestration, Tool/function calling, Context management, API exposure.- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS, OpenSearch).- Design secure and scalable AI APIs using AWS services such as Lambda and API Gateway.- Deploy and manage AI workloads using AWS Bedrock and SageMaker.- Implement CI/CD pipelines and Infrastructure as Code (CloudFormation/CDK/Serverless Framework).- Apply MLOps best practices including : Model versioning, Prompt versioning, Monitoring and observability, Logging and performance tracking.- Ensure AI systems are : Reliable and resilient, Secure (IAM, policies, encryption), Cost-aware and optimized.- Collaborate with product owners, enterprise application teams, and data engineers to integrate AI solutions into business workflows.- Contribute to AI use case evaluation and architecture design discussions.Required Skills & Experience : - 5-7 years of software engineering experience with strong Python expertise.- Hands-on experience integrating LLM platforms such as OpenAI or AWS Bedrock.- Practical experience building : RAG systems, Multi-agent or agentic workflows, Tool-calling or function-calling architectures.- Experience with frameworks such as : LangChain / LangGraph (or equivalent orchestration frameworks).- Solid experience with AWS services : Bedrock, SageMaker (model hosting/inference; full training expertise not mandatory), Lambda, ECS, S3, API Gateway, IAM etc.- Experience deploying applications using Infrastructure as Code (CloudFormation, CDK, Serverless Framework).- Understanding of : Prompt engineering, LLM limitations and guardrails, Context window management, Token optimization.- Familiarity with vector databases and embedding workflows.- Strong debugging, problem-solving, and system design skills.Preferred Qualifications : - Experience designing secure enterprise AI solutions.- Exposure to SAP AI, enterprise ERP integration, or business process automation.- Experience implementing observability for AI systems (latency, hallucination tracking, usage monitoring).- Experience with TypeScript for AI tooling or frontend integrations. (ref:hirist.tech)