- Design and implement scalable agentic solutions for diverse use cases
- Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of agents
- Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools
- Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap.
- Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle.
- Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions.
- Conduct performance analysis and capacity planning to ensure platform scalability
Relevant experience and educational requirements:
- Bachelors or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure.
- Experience in building large-scale distributed systems and microservices.
- Robust programming skills in Python.
- Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
- Cloud platform experience (AWS, GCP, or Azure).
📌 Principal AI Engineer (Sahibzada Ajit Singh Nagar)
🏢 Cotiviti
📍 Sahibzada Ajit Singh Nagar
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