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Mid-level LLM-focused AI role in metro locations at a known consulting firm yields moderate applicant competition.
Specialized LLM, AWS Bedrock, and agent-framework expertise makes background fit highly domain-specific.
Multiple explicit mandatory skills and a 6+ years AWS/LLM experience requirement enforce strict shortlisting.
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Lead design, development, and deployment of scalable AI/ML and autonomous multi-agent solutions using AWS Bedrock, LangChain, and related frameworks to address complex enterprise problems.
Build, maintain, and optimize secure, production-grade AI applications and APIs leveraging AWS serverless technologies like Lambda and API Gateway, ensuring performance and responsible AI compliance.
Collaborate cross-functionally to implement Retrieval Augmented Generation (RAG) pipelines, vector and graph database integrations, and monitor large language model (LLM) performance in production environments.
6+ years of professional experience with AWS business applications and AI/ML engineering.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance, or a related field.
Hands-on experience with AWS AI ecosystem including Bedrock, LangChain or similar agent frameworks, serverless architectures (Lambda, API Gateway), containerization (Docker, ECS, or EKS), and Infrastructure as Code (CDK, CloudFormation, or Terraform).
Familiarity with RAG pipelines using vector databases (OpenSearch, Pinecone, FAISS), graph databases, CI/CD pipelines, version control (Git), and knowledge of enterprise AI governance and security requirements.
Experienced in designing and delivering autonomous multi-agent architectures and hierarchical agent workflows within enterprise-scale AWS environments.
Proficient in prompt engineering, LLM optimization, and applying AI development life cycle methodologies for complex business solutions.
Comfortable working in an Agile, fast-paced environment with strong analytical, problem-solving, and cross-team collaboration skills focused on production-ready AI applications.