enior AI Engineer / Enterprise Software Engineer (Amazon Bedrock + Azure AI Foundry/Azure OpenAI + Advanced Python + Multi-Agent/RAG/Agentic AI + IaC (AWS/Azure)

enior AI Engineer / Enterprise Software Engineer
(Amazon Bedrock + Azure AI Foundry/Azure OpenAI + Advanced Python + Multi-Agent/RAG/Agentic AI + IaC (AWS/Azure)

(Evaluation Sheet is Mandatory)

10 - 15 yrs

Required Experience
7-12+ years of progressive AI/ML engineering experience building and operating production systems at scale.
Demonstrated depth in Amazon Bedrock: agents, Knowledge Bases, Guardrails, model fine-tuning, and model distillation workflows.
Hands-on experience with Microsoft Foundry or Azure OpenAI Service: model deployment, agent service, fine-tuning, and evaluation pipelines.
Advanced Python proficiency across the AI/ML ecosystem: PyTorch, Hugging Face Transformers, LangChain, Semantic Kernel, and AWS/Azure SDKs (boto3, azure-ai-foundry).
Proven track record architecting multi-agent, RAG, and agentic AI systems in production environments serving enterprise-scale traffic.
Strong experience with IaC tooling: AWS CDK, CloudFormation, Azure Bicep, or Terraform for ML infrastructure automation.

Preferred Qualifications
Hands-on experience with Amazon Nova 2 model family (Lite, Pro, Sonic, Omni) and Amazon Nova Act browser-automation agents.
Experience building agents with Amazon Bedrock AgentCore including Policy enforcement, episodic Memory, and AgentCore Gateway integrations.
Proficiency with Microsoft Agent Framework (Semantic Kernel + AutoGen) for building stateful, durable multi-agent enterprise workflows.
Experience with Amazon S3 Vectors for large-scale vector storage and retrieval; familiarity with competing solutions (Pinecone, pgvector, Azure AI Search).
Knowledge of Amazon Trainium3 / EC2 Trn3 architecture for cost-optimized large model training at scale.
Familiarity with Azure AI Foundry Model Router, Foundry Local, and Phi-4 small language models for edge and low-latency use cases.
Published research, conference presentations, or notable open-source contributions in AI/ML or cloud AI. 

1:00 PM – 10:00 PM
(Candidate has to be flexible if required)