Social network you want to login/join with:

· Design, develop, and deploy LangGraph-based agentic systems that orchestrate LLM-driven tools and workflows.

· Build and integrate modular AI agents capable of real-world task execution in cloud-native environments.

· Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure.

· Write production-grade Python code, following best practices in software design, testing, and documentation.

· Build robust CI/CD pipelines and advocate for DevOps and Infrastructure as Code (IaC) practices using tools like CDK or Terraform.

· 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development.

· Proven track record with LangGraph, LangChain, or similar orchestration frameworks.

· Hands-on experience building and deploying applications on AWS, particularly using Lambda, Fargate, S3, Step Functions, and DynamoDB.

· Familiarity with AWS Bedrock is a plus.

· Strong understanding of agentic patterns, prompt chaining, tool calling, and memory/state management in LLM applications.

· Solid experience with unit and integration testing, CI/CD, and GitOps practices.

Preferred Qualifications

· Experience designing and scaling multi-agent systems or tool-augmented LLM workflows.

· Familiarity with secure cloud development practices and IAM role design.

· Understanding of LLM fine-tuning, embeddings, vector stores (e.g., Pinecone, FAISS, OpenSearch).

· Exposure to contact centre automation, conversational agents, or RAG pipelines.