AI/ML Engineer

Intuitive; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Intuitive is seeking an experienced engineer to design, implement, test, and deploy agentic AI systems and multi-agent workflows addressing complex customer problems.

You will lead architecture discussions, mentor the team, and integrate orchestration frameworks with tools and APIs. Expect ownership of major solution areas with minimal oversight.

Qualifications

• 5-7+ years building production ML/GenAI systems.
• Hands-on with agentic frameworks (Strands, LangGraph, CrewAI).
• Strong prompt and context engineering, grounding and RAG.

Responsibilities

• Design, implement, test, and deploy agentic AI systems and multi-agent workflows to solve complex customer problems.
• Lead technical discussions, drive architecture decisions, and mentor the technical team.
• Architect and integrate agent orchestration frameworks with tool/API ecosystem.
• Own and deliver major solution areas end-to-end with minimal oversight.

Skills

Advanced Python

Agentic frameworks

Prompt engineering

Context engineering

Cross-account IAM

Terraform/CloudFormation

AWS Bedrock

API integration

Tools

Terraform

CloudFormation

Lambda

API Gateway

S3

IAM

KMS

Secrets Manager

Job description

Summary

Key Responsibilities Design, implement, test, and deploy agentic AI systems and multi-agent workflows to solve complex customer problems Lead technical discussions, drive architecture decisions, and mentor the technical team Architect and integrate agent orchestration frameworks with tool/API ecosystem Own and deliver major solution areas end-to-end with minimal oversight Must Have 5-7+ years building production-grade ML or GenAI systems; advanced Python Hands-on experience with agentic frameworks (Strands, LangGraph, CrewAI or similar) Strong prompt engineering and context engineering (grounding, RAG, memory patterns); MCP/A2A experience Cross-account IAM architecture experience — designing and implementing IAM roles, trust policies, and permission boundaries for multi-agent systems that span AWS accounts API integration experience (consumer/client); IaC using Terraform or CloudFormation AWS Bedrock (Models, Guardrails); Lambda, API Gateway, S3, IAM, KMS, Secrets Manager, ECR, Basic VPC Should Have Bedrock AgentCore Services; CloudWatch, DynamoDB, EventBridge, Step Functions, ECS Fargate Agent evaluation experience (automated scoring, performance tracking) Inter-agent communication patterns (MCP, A2A) in multi-account environments — cross-account invocation, service control policies (SCPs), and resource-based policies for agent-to-agent access API Security (OAuth2, ApiKey, BasicAuth) Observability (logging, metrics, tracing); CI/CD pipeline setup Vector databases and retrieval patterns GenAI coding assistants (Kiro, Q Developer) Legacy technology familiarity (Java/Spring, Sybase, DB2, or COBOL) as source context for agentic modernization or integration pattern design Financial services or regulated-industry experience (compliance-aware delivery: trade surveillance, data controls, audit requirements) Large-scale portfolio delivery experience — reusable patterns or components applied across 50+ applications, including wave planning and throughput measurement

Requirements

5-7+ years building production-grade ML or GenAI systems; advanced Python Hands-on experience with agentic frameworks (Strands, LangGraph, CrewAI or similar) Strong prompt engineering and context engineering (grounding, RAG, memory patterns); MCP/A2A experience Cross-account IAM architecture experience — designing and implementing IAM roles, trust policies, and permission boundaries for multi-agent systems that span AWS accounts API integration experience (consumer/client); IaC using Terraform or CloudFormation AWS Bedrock (Models, Guardrails); Lambda, API Gateway, S3, IAM, KMS, Secrets Manager, ECR, Basic VPC

Nice to have Skills

NA