Senior AI Agent Engineer - SDLC Optimization

HEXAWARE

4d•Onsite

About The Position

We are seeking a forward-thinking AI SDLC Engineer to transform our development processes from linear automation to an agentic, multi-agent workflow. The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You will enable AI to handle specialized tasks—architecture planning, frontend/backend development, debugging, and security reviews—while maintaining context isolation.

Requirements

Experience in Agentic AI: Proven experience designing and creating AI agents and subagents, specifically using frameworks such as LangChain, or custom agent harnesses (e.g., Claude Code).
Software Development Background: Strong background in software engineering (Python/FastAPI preferred) with a deep understanding of CI/CD, Git, and cloud platforms (AWS).
LLM Proficiency: Extensive experience working with Large Language Models (LLMs) and prompt engineering techniques for task-specific agent behavior.
Systems Design: Ability to decompose complex software tasks into smaller, manageable, and parallelizable sub-tasks
Experience with Claude Code and creating custom subagent markdown/YAML definitions.
Knowledge of AI safety protocols and adversarial testing.
Experience with vector databases for agent memory management.

Responsibilities

Design and implement task-specific AI subagents (e.g., "Code Reviewer," "SQL Expert," "Frontend Builder") with dedicated system prompts, tool access, and context boundaries.
Build orchestration logic to manage the lifecycle of subagents (initialization, delegation, execution, and cleanup) using agentic frameworks.
Implement agentic workflows across the entire SDLC, from requirements gathering and architecture design to automated testing, code review, and deployment.
Optimize AI performance by isolating noisy, long-running tasks into subagents, ensuring the main agent remains efficient and context-aware.
Integrate AI agents with internal development tools, including Bitbucket, Jira, ServiceNow and CI/CD pipelines.
Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and accelerate release cycles.

Benefits

Excellent Health benefits with low-cost employee premium.
Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
Unlimited training and upskilling opportunities through Udemy and Hexavarsity
Competitive Salary
Company Pension Scheme
Comprehensive Health Insurance
Flexible Work Hours and Hybrid Work Options
XX days paid annual holidays + public holidays.
Professional Development and Training Opportunities
Employee Assistance Program (EAP)
Diversity, Equity, and Inclusion Initiatives
Company Events and Team-Building Activities