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# AI-ML Engineer

- **Company:** VeeRteq Solutions Inc
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, COBOL (Programming Language), Continuous Integration, Data Control, IBM DB2, Amazon DynamoDB, Identity and Access Management, Spring Framework, Python (Programming Language), Machine Learning, OAuth, Data Logging, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, Sybase, Software Security, State Machines, AgentCore, Generative AI, Amazon Virtual Private Cloud (VPC), Cloudformation, Servicebus, CrewAI, AWS Fargate, Functional Programming, Cloudwatch, Api Gateway, Terraform, Agent2Agent Protocol
- **Published:** October 8, 2026
- **Apply:** https://www.careerjet.com/jobad/us1ce458819467e1dc916e8852ce8b56e1

## About the Role

* 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

## Description

* 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