Python FastAPIFlaskDjango AWS LLMs Generative AI RAG AWS Bedrock Agentic AI MultiAgent Systems MCP Model Context Protocol SQL Vector Databases AWS CDK
Strong experience designing and building agentic AI systems using multiagent architectures and MCPbased tool integration within AWS ecosystem
Ability to translate requirements into scalable AI solutions using Bedrock Lambda Step Functions and eventdriven architectures
Qualifications
Develop pythonbased automation for large data sets data analysis for vulnerability management reporting
Leverage machine learning in the process as required
Develop Prompts to automate test data extraction process from databases
Provide technical expertise through a handson approach to teams and projects
Experience with one or more general purpose programming languages including but not limited to Java Python R or equivalent
Experience and knowledge in designing building and deploying multi layered application Infrastructure involving Onpremises AWS Cloud platform using services BedRock LLM models
Handle design definition planning and development
100 adherence to architectural and development best practices including the use of standard architectures proper use of code management document design and design artifacts and conduct designcode reviews
Create optimization plans to innovate shiftleft and mitigate gaps
Apply cloud concepts and capabilities to deliver testing for cloudhosted apps
Report succinct testing goals and results to the leadership
Train and educate various teams on SV ideas and expectations
Expand responsibilities to drive test data test environment and service virtualization strategies
Handson experience in
Multiagent systems task orchestration planning execution tool usage mandatory
MCP toolbased LLM integrations enabling agents to connect with APIs databases and enterprise systems mandatory
RAG pipelines including embedding generation chunking indexing retrieval optimization
Amazon Bedrock for LLMbased application development
Strong AWS experience building and deploying applications using
Experience with AWS CDK Infrastructure as Code mandatory and CICD pipelines using CodePipeline CodeBuild CodeDeploy
Strong database expertise
RDSAurora PostgreSQLMySQL for transactional systems
DynamoDB for scalable NoSQL workloads
Vector Databases mandatory OpenSearch Pinecone Redis FAISS for embeddings and semantic search
Designing data models for AI applications including RAG pipelines and largescale unstructured data
Managing agent memory shortterm longterm using vector DB persistent storage
Integrating databases with MCPbased tools for agentdriven data access
2 years of backendfull stack engineering experience and 1 years in Generative AI prompt engineering or AI system development
Experience working in Agile environments building scalable microservices developing APIs and contributing to CICD pipelines
Good understanding of SaaS PaaS IaaS cloud models and AWSfirst architecture
Ability to build productiongrade AI systems not just PoCs with focus on scalability performance and maintainability
Skills
Mandatory Skills : AI/GenAI Research, Docker, GenAI - LLMOps, Machine Learning - AIOPS, Python - Data Science
Good to Have Skills : AWS Iaas, Vector Databases and Embedding
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling current ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
📌 Specialist - Data Sciences (Kolkata)
🏢 LTM
📍 Kolkata
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