AI Engineer – LLMs & Agentic Automation

Job Title: AI Engineer – LLMs & Agentic Automation

Location: Bangalore / Hyderabad (Preferred), Alternate UST Locations Pan India

Experience: 5–8 Years

About the Role

We are looking for a highly skilled AI Engineer with strong expertise in Large Language Models (LLMs), AI agent deployment, and cloud-native architectures. The role involves designing and deploying scalable AI pipelines, integrating AI-powered coding assistants, and ensuring secure, high-performance delivery of AI-driven applications in enterprise environments.

Key Responsibilities

Design, build, and deploy LLM-powered applications and AI agents into production.

Leverage AI coding assistants (e.g., GitHub Copilot, Claude Code) and frameworks such as LangChain, CrewAI to accelerate development.

Build and manage scalable AI pipelines using AWS services (Lambda, IAM, CloudFormation, etc.).

Write clean, testable, and scalable Python code with best practices in debugging and problem-solving.

Implement and maintain CI/CD pipelines and Infrastructure as Code (IaC) (preferably CDK).

Work in large-scale, security-focused enterprise environments ensuring compliance and reliability.

Collaborate cross-functionally, communicate effectively, and provide regular project updates.

Take end-to-end ownership of tasks, proactively anticipating challenges and delivering results.

Required Skills

Strong experience with LLMs, prompt engineering, and AI agent deployment.

Hands-on expertise with AI-powered coding assistants and LLM frameworks (CrewAI, LangChain).

Proficiency in AWS services – Lambda, IAM, CloudFormation (CDK preferred).

Strong coding background (Python preferred).

Debugging and problem-solving skills with minimal guidance.

Experience with CI/CD pipelines and cloud-native deployments.

Ability to thrive in a large-scale, enterprise-grade security environment.

Ideal Candidate Traits

Self-driven and proactive, takes ownership of end-to-end delivery.

Strong communicator with the ability to keep stakeholders updated.

Forward-thinking, not limited to executing instructions, but able to anticipate, design, and solve problems.

Skills

llm,AI powered coding assistants,Aws (Lambda,IAM,Cloud formation),Coding (Python),Debugging