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Agentic AI Engineer

Agentic AI Engineer

tesslogs it solutions
Early Applicant
  • Posted 3 days ago
  • Be among the first 10 applicants

Job Description

Hello All,

Greetings From Tesslogs,

We are looking for an experienced AWS Agentic AI Engineer with 4+ years of software development experience and strong hands-on expertise in Generative AI, Agentic AI, Multi-Agent Systems, Python, and AWS Cloud.

Client: Infosys

Experience: 4+ Years

Location: Chennai / Pune

Notice Period: Immediate / 15 Days

Key Responsibilities

  • Design and develop Agentic AI and Multi-Agent Systems for enterprise use cases.
  • Build Generative AI applications using LLMs, RAG, LangChain, LangGraph, MCP, and prompt engineering.
  • Develop and deploy scalable AI solutions on AWS Cloud.
  • Integrate AI agents with REST APIs, enterprise applications, databases, and business systems.
  • Implement vector databases, embeddings, semantic search, and knowledge retrieval solutions.
  • Design and develop microservices-based AI architectures.
  • Optimize AI applications for performance, scalability, security, observability, and cost efficiency.
  • Implement monitoring, logging, and observability for AI applications.
  • Follow MLOps and DevOps best practices for AI model deployment and lifecycle management.
  • Collaborate with business stakeholders, architects, product teams, and engineering teams to deliver AI-driven solutions.

Mandatory Skills

  • 4+ years of software development experience
  • Strong programming experience in Python
  • Hands-on experience with Agentic AI
  • Experience with Multi-Agent Systems
  • Strong understanding of Generative AI and LLMs
  • Experience with LangChain
  • Experience with LangGraph
  • Strong knowledge of RAG (Retrieval-Augmented Generation)
  • Experience with Prompt Engineering
  • Hands-on experience with AWS Cloud Services, including:
  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • Amazon ECS / EKS
  • API Gateway
  • DynamoDB
  • Amazon S3
  • Experience developing and integrating REST APIs
  • Strong understanding of Microservices Architecture
  • Experience with Vector Databases, such as:
  • Pinecone
  • FAISS
  • ChromaDB
  • OpenSearch

Best Regards,

Jahnavi R

[Confidential Information]

#AWSAgenticAI #AgenticAI #AIAgents #MultiAgentSystems #GenerativeAI #GenAI #LLM #LargeLanguageModels #RAG #RetrievalAugmentedGeneration #LangChain #LangGraph #MCP #ModelContextProtocol #PromptEngineering #Python #AWS #AmazonBedrock #AWSBedrock #AmazonSageMaker #SageMaker #AWSLambda #Lambda #ECS #EKS #APIGateway #DynamoDB #AmazonS3 #RESTAPI #Microservices #VectorDatabase #Pinecone #FAISS #ChromaDB #OpenSearch #Embeddings #SemanticSearch #KnowledgeRetrieval #AIMLOps #MLOps #DevOps #AIDevelopment #AIEngineering #CloudAI #AWSCloud #ArtificialIntelligence #MachineLearning #SoftwareDevelopment #ChennaiJobs #PuneJobs #AIJobs #AWSJobs #TechJobs

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Key Skills

Pinecone

Amazon SageMaker

OpenSearch

LangGraph

Vector Databases

Multi-Agent Systems

Microservices Architecture

ChromaDB

LangChain

Amazon ECS

Generative AI

LLMs

Agentic AI

FAISS

RAG

Amazon Bedrock

Prompt Engineering

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