Agentic AI Automation Developer

1 hour ago

Bengaluru, IndiaSenior

Responsibilities

Design, build, test, deploy, and support AI- and automation-enabled enterprise solutions.
Develop agentic AI capabilities including agents, tool-calling, orchestration, prompt workflows, context handling, retrieval patterns, and human-in-the-loop controls.
Build and integrate APIs, backend services, automation workflows, enterprise applications, databases, data integrations, system interfaces, and cloud services.
Prototype and iteratively improve solution approaches, moving use cases from concept to production-ready implementation.
Create reusable components, templates, connectors, frameworks, and technical assets for future AI and automation delivery.
Participate in code reviews, testing, debugging, and troubleshooting while following engineering standards and governance guardrails.
Collaborate with the AI/Automation Technical Leader, domain subject matter experts, technical teams, and business stakeholders.
Apply coding assistants, agentic coding practices, and emerging AI and automation technologies to practical business scenarios.

Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical work experience.
7+ years of experience in software development, automation, application development, or related technical roles.
Strong programming experience in one or more of Python, TypeScript, JavaScript, Java, or C#.
Experience designing, building, testing, and supporting software applications or automation solutions.
Experience building APIs, backend services, integrations, workflows, or enterprise applications.
Experience working with databases, data integrations, system interfaces, and cloud platforms such as Azure, AWS, or GCP.
Strong problem-solving, analytical, communication, collaboration, quality, reliability, and business-value focus.
Preferred experience building AI-enabled applications using LLMs, agents, orchestration frameworks, retrieval workflows, or tool-calling patterns.
Preferred familiarity with MCP, A2A, context engineering, memory patterns, and evaluation techniques.
Preferred understanding of software engineering practices related to security, testing, observability, and supportability.
Preferred experience contributing to reusable frameworks, accelerators, shared technical components, or working in a global enterprise or matrixed delivery environment.

Competitive compensation and comprehensive benefits and programs are offered.
Work onsite Monday through Thursday, with flexibility to choose the work location on Fridays based on work requirements.
Equal opportunity employment is provided without regard to legally protected characteristics.

10,000+ employees