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Join our dynamic AI Engineering team as an Agentic AI Engineer, where you’ll help design, build, and secure agentic AI solutions that solve complex, cross-domain problems. You’ll work alongside talented engineers, architects, and product managers to deliver scalable, secure, and innovative AI systems using modern cloud and software engineering practices.
Job Responsibility:
Contribute to the design and implementation of agentic AI systems, including multi-agent orchestration, tool-use, retrieval (RAG), planning, and self-evaluation loops
Develop reusable tools, frameworks, and technical standards that support the AI Center of Excellence’s mission to embed AI responsibly and efficiently across the organization
Implement security controls for AI systems, including access management, data protection, vulnerability scanning, and incident response protocols
Build and maintain microservices, APIs, and high-scale systems using Java, Python, JavaScript, and TypeScript
Design and deploy cloud-native solutions using AWS services (EC2, Lambda, S3, RDS, IAM) and AWS Bedrock Agents for generative AI and agentic workflows
Support CI/CD automation, Infrastructure as Code, and GitOps workflows
Work closely with Architecture, Product, and Security teams to integrate agentic AI solutions and ensure technology governance and compliance
Help define and enforce agentic AI standards and guardrails for safety, compliance, and ethical use, including policy enforcement and observability
Requirements:
5+ years of hands-on software development experience with Java, Python, JavaScript, and TypeScript
strong computer science fundamentals
Experience designing and deploying cloud-native solutions using AWS services
Proven experience building microservices/APIs and delivering high-scale systems
Applied DevOps/SRE skills: CI/CD, infrastructure as code, GitOps, and production observability
Demonstrated curiosity (continuous learning, exploring new technologies) and persistence (driving solutions through challenges and ambiguity)
US Citizenship required
Nice to have:
Experience with agent frameworks (orchestration, tool-use), LLMs, vector databases, and retrieval pipelines (RAG)
Hands-on with Kubernetes/ECS, Terraform/CloudFormation, Jenkins/GitHub Actions, and APM/logging tools
Experience with secure software design, performance profiling/tuning, and cost-aware architectural decisions
Exposure to agile delivery at scale and comfort working in collaborative, cross-functional teams