Description

You will build, deploy, and secure AI agents to automate complex workflows and connect models to internal and external services.

This role is hybrid.

Responsibilities

• Write Python software to support AI agent communication and integrate models with services via APIs.
• Deploy agentic AI systems into target environments and configure monitoring for reliable execution.
• Secure agentic workflows and evaluate results for accuracy, performance, and impact.
• Conduct research, develop prototypes, and document results to ensure ethical and transparent systems.
• Support testing, debugging, and maintenance using automated testing tools and DevSecOps practices.

Required Skills

• 5+ years of software development experience.
• 3+ years building production-level AI/ML systems, including LLMs, agents, or automation frameworks.
• Proficiency in Python and tools such as Pandas or NumPy.
• Hands-on experience with NLP, LLMs, ML, DL, and Reinforcement Learning.
• Experience with frameworks such as LangGraph, LangChain, TensorFlow, or PyTorch.
• Experience connecting agents to APIs, cloud platforms, or databases.
• Experience with Java and Spring Boot for developing REST services.
• Knowledge of SDLC and DevSecOps practices.
• Experience with AWS and CI/CD pipeline administration using Kubernetes, Docker, or Jenkins.

Preferred Skills

• Experience working with GitHub and other collaborative development platforms.

Key Skills

Education

Any Graduate