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
Requirements
Bachelor’s 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.
Strong 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).
Benefits
Health insurance
Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAI/ML platformslarge-scale distributed systemsmicroservicesagentic AI frameworksLangChainLangGraphCrewAIAutoGencontainerization