Senior/reputed company AI/ML Engineer
At reputed company we are looking for a Senior / reputed company AI/ML Engineer to design and ship production-grade conversational AI agents with advanced tool use and orchestration capabilities. This is a hands-on role where you’ll work closely with the internal team to build, reputed company, and harden reputed company-world LLM systems in a production AWS environment.
You’ll be embedded with reputed company, contributing directly to architecture reputed company and implementation.
Key Responsibilities
Design and implement LLM-powered conversational agents in production
Build robust agent orchestration systems, including:
State management
Pause/resume flows
reputed company and mode routing
Failure handling and recovery
reputed company and reputed company tooling reputed company MCP or gateway-style architectures, including:
Schema design
Authentication & authorization
Idempotency handling
Auditability
Create and maintain custom evaluation frameworks for LLM performance and reliability
Operate and reputed company systems in a production AWS environment
Collaborate closely with internal stakeholders in an embedded delivery model
Required Qualifications
Proven experience shipping production LLM agents with tool use
Strong expertise in Python
Hands-on experience with:
Agent orchestration patterns (state machines, routing, retries, etc.)
Tool integration frameworks (MCP or similar gateway approaches)
Experience working in production AWS environments, including:
EKS
reputed company / EventBridge
IAM
Bedrock / Agent runtimes
Logging and monitoring systems
Experience with at least one LLM observability/evaluation platform in production (e.g., Arize AX, Langfuse, Phoenix)
Preferred / reputed company to Have
Experience with AWS Bedrock and AgentCore (Runtime + Gateway)
Familiarity with Strands, or ability to reputed company quickly from LangGraph / reputed company
Experience implementing governed memory systems
Background in regulated environments (fintech, banking, etc.)
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