Agentic AI Or Generative AI- Engineer

Wipro; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Wipro is seeking an Engineer with hands-on experience in Agentic AI and Generative AI systems. The role emphasizes practical implementation across the AI agent lifecycle, including development, integration, and production support.

The candidate should have strong capabilities in API-based architectures, distributed systems, and cloud-based AI/ML capabilities to deliver production-grade solutions with reliable monitoring and telemetry.

Qualifications

• Hands-on development experience with AI agents.
• Experience deploying AI agents in production environments.
• Solid experience in Generative AI systems and LLM-based application development.
• Ability to contribute to design, development, integration, testing, deployment and production support of AI solutions.
• Engineering fundamentals for distributed systems and API-based architectures.

Skills

Hands-on AI agents development

Production deployment of AI agents

Generative AI and LLM-based app dev

Engineering design and production poS

Monitoring/telemetry and reliability

Job description

Experience Requirements

We are seeking an Engineer with strong practical engineering experience in Agentic AI and Generative AI systems.

The candidate must demonstrate:

• Strong hands‑on development experience with AI agents.
• Experience deploying and operating AI agents in production environments.
• Solid technical depth in Generative AI systems and LLM‑based application development.
• Ability to independently contribute to the design, development, integration, testing, deployment, and production support of AI solutions.
• Technical depth appropriate for an Engineer‑level position.

Core Technical Requirements

Agentic AI

Strong hands‑on experience:

• Developing AI agents.
• Integrating AI agents with applications, APIs, enterprise services, or data.
• Deploying AI agents into production environments.
• Building production‑grade rather than purely conceptual, academic, or proof‑of‑concept solutions.

Generative AI

Practical expertise developing applications using LLMs such as:

• OpenAI GPT
• Google Gemini
• Llama or similar LLM technologies

Candidates should demonstrate actual implementation experience, rather than only familiarity with Generative AI terminology and concepts.

Engineering Foundations

Experience or understanding in:

• API‑based architectures
• Distributed systems
• AI application architecture
• Production reliability
• Monitoring and telemetry
• Cloud‑based AI/ML capabilities
• MLOps / production deployment practices