Agentic AI Engineer

Orcapod Consulting Services

Hyderabad, Bengaluru

On-site

INR 3,500,000 - 5,500,000

Full time

4 days ago
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Job summary

State Street is seeking experienced Agentic AI Engineers to join its GenAI Center of Excellence. You will independently design, implement, and optimize agent orchestration and multi-agent workflows, mentoring engineers to accelerate innovation across cross-functional teams.

Ideal candidates have 5–10 years in distributed or agentic systems, strong Python skills, and experience with cloud-native deployments on AWS, Google Cloud, or Azure.

Qualifications

  • 5–10 years of hands-on experience in designing, building, and deploying distributed or agentic systems.
  • Proficient in Python and at least one other modern language (Java, Go, or C++).
  • Experience in event-driven, microservices, or multi-agent architectures at scale.
  • Strong cloud-native development experience on AWS, Google Cloud, and/or Azure.
  • Solid software testing, code reviews, and agile development experience.
  • Experience with CI/CD pipelines, Kubernetes, and monitoring solutions.

Responsibilities

  • Independently designed and implemented complex agent workflows with multiple frameworks.
  • Lead event-driven architecture development and enhancements for assigned domains.
  • Ensure code quality through advanced testing, code reviews, and mentoring junior engineers.
  • Operate and troubleshoot runtime components, maintaining high availability and reliability.
  • Drive improvements in deployment, monitoring, and incident response across hybrid and multi-cloud environments.
  • Guide adoption of agentic stack components and best practices for cloud-native implementation.
  • Contribute to platform documentation and establish best practices.
  • Mentor Senior Associates and foster knowledge sharing within the pod.
  • Collaborate cross-functionally with other engineering, SRE, and product teams.

Skills

Python
Distributed systems
Event-driven
Cloud-native
CI/CD
Kubernetes
Mentoring
Communication

Education

Bachelor's/Master's in CS/Engineering

Tools

LangChain
Langraph
GoogleADK

Job description

Role & responsibilities
About the Role

We are seeking driven and technically adept professionals to join our GenAI Center of Excellence at State Street as Agentic AI Engineers. This position is perfect for mid-career engineers who want to independently design, implement, and optimize agent orchestration and multi-agent workflows. You will play a key role in advancing our agentic AI platform, collaborating with cross-functional teams and mentoring junior engineers to accelerate innovation.

Key Responsibilities
  • Independently designed and implemented complex agent workflows, integrating multiple frameworks such as LangChain, Langraph, or GoogleADK to address specific domain requirements.
  • Lead event-driven architecture development and enhancements for assigned domains.
  • Ensure code quality through advanced testing, code reviews, and mentoring junior engineers.
  • Operate and troubleshoot runtime components, maintaining high availability and reliability.
  • Drive improvements in deployment, monitoring, and incident response processes across hybrid and multi-cloud environments (AWS, Google Cloud, Azure).
  • Guide adoption of agentic stack components and best practices for cloud-native implementation.
  • Contribute to platform documentation and establish best practices.
  • Mentor Senior Associates and foster knowledge sharing within the pod.
  • Collaborate cross-functionally with other engineering, SRE, and product teams.
Required Qualifications
  • Bachelors or Master’s degree in Computer Science, Engineering, or related field.
  • 5–10 years of hands-on experience in designing, building, and deploying distributed or agentic systems.
  • Proficient in Python and familiar with at least one additional modern programming language (such as Java, Go, or C++).
  • Experience implementing event-driven, microservices, or multi-agent architectures at scale.
  • Solid experience with cloud-native development and operations on AWS, Google Cloud, and/or Azure.
  • Strong background in software testing, code reviews, and agile development methodologies.
  • Experience with CI/CD pipelines, container orchestration (Kubernetes), and monitoring solutions.
  • Ability to mentor junior engineers and contribute to technical documentation.
  • Excellent communication and cross-team collaboration skills.

Preferred candidate profile

Immediate Joiner


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