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Gen AI Developer Jobs in Chennai 2025 | NVIDIA Ecosystem & Generative AI Careers (10–16 Years Experience)

Careers as a Gen AI Developer – NVIDIA Ecosystem Roles in Chennai, Bangalore, Pune & Hyderabad

Introduction

Artificial Intelligence is transforming industries at a rapid pace, and among its most promising innovations is Generative AI (Gen AI). From natural language generation and computer vision to industry-specific solutions in healthcare, robotics, and automotive, Generative AI models such as GANs, transformers, and diffusion networks are revolutionizing business processes.

As enterprises adopt GPU-accelerated computing and NVIDIA’s AI ecosystem, the demand for skilled professionals who can design, deploy, and optimize generative AI solutions is surging. To address this demand, leading organizations are hiring Gen AI Developers with expertise in Python, CUDA, PyTorch, TensorFlow, and NVIDIA frameworks.

One such opportunity is the Gen AI Developer role, based in Chennai with flexibility to work from Bangalore, Pune, or Hyderabad, targeting professionals with 10–16 years of experience.


About the Role

The Gen AI Developer position is designed for senior professionals passionate about building cutting-edge AI models and applications using NVIDIA’s GPU ecosystem. This role is ideal for those who want to combine research-oriented AI expertise with practical deployment capabilities across industries.

As a Gen AI Developer, you will focus on developing, training, deploying, and optimizing generative AI models while leveraging NVIDIA’s powerful CUDA, TensorRT, Omniverse, RAPIDS, and SDK toolkits. The role involves collaborating with product managers, engineers, and researchers to deliver AI-driven business solutions at scale.


Key Responsibilities

The Gen AI Developer role offers exposure to end-to-end AI development workflows. The major responsibilities include:

1. Model Development & Experimentation

  • Build generative AI models such as GANs, transformers, and diffusion models.

  • Use frameworks like PyTorch, TensorFlow, NeMo, and Megatron to design and train LLMs and multimodal systems.

  • Explore fine-tuning and transfer learning approaches for specific use cases.

2. GPU Optimization & Performance Tuning

  • Optimize AI workflows for scalability and performance using NVIDIA GPUs, DGX systems, and EGX platforms.

  • Implement parallel computing techniques with CUDA and performance tuning with TensorRT.

  • Enhance inference speed and efficiency using NVIDIA Triton Inference Server.

3. Industry-Specific Solutions

  • Customize AI solutions with NVIDIA’s vertical SDKs such as:

    • Clara (healthcare)

    • Drive (autonomous vehicles)

    • Maxine (speech and video AI)

  • Develop targeted applications for robotics, manufacturing, media, and finance industries.

4. Deployment & Monitoring

  • Deploy AI models on cloud platforms (AWS, Azure, GCP) with Kubernetes and Docker.

  • Manage production-level inference using Triton Inference Server.

  • Monitor deployed models for accuracy, latency, and reliability.

5. Collaboration & Integration

  • Work closely with cross-functional teams of engineers, researchers, and product managers.

  • Translate business needs into AI-powered applications that drive ROI.

  • Ensure seamless integration of AI models with enterprise systems.

6. Research & Innovation

  • Stay up to date with NVIDIA’s latest advancements in Gen AI and ecosystem tools.

  • Participate in POC development, experimental prototypes, and applied research.

  • Publish findings and contribute to AI innovation roadmaps.

7. Documentation & Best Practices

  • Create detailed technical documentation for models, frameworks, and deployment processes.

  • Establish standards and best practices for enterprise-wide AI development.


Desired Skills & Expertise

The ideal candidate for the Gen AI Developer role should have a strong mix of programming, AI modeling, and cloud expertise.

Technical Skills

  • Programming Expertise: Strong in Python and C++, with focus on GPU acceleration.

  • CUDA & Parallel Computing: Ability to leverage CUDA for optimizing compute-heavy AI workloads.

  • Generative AI Models: Experience with GANs, transformers, diffusion models, GPT architectures, and Stable Diffusion.

  • Frameworks & Tools: Proficiency in PyTorch, TensorFlow, NeMo, Megatron, RAPIDS, Omniverse, and TensorRT.

  • NVIDIA Ecosystem: Familiarity with DGX, EGX platforms, SDKs like Clara, Drive, Maxine, and APIs.

  • Deployment Expertise: Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker, Kubernetes.

Professional Competencies

  • Strong problem-solving skills to overcome complex AI challenges.

  • Excellent collaboration and communication abilities to work with cross-functional teams.

  • Adaptability to explore emerging AI technologies and vertical industry applications.

Educational Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

  • Industry-specific experience in healthcare, robotics, or finance is a strong plus.


Why This Role Matters

Generative AI is reshaping industries by enabling enterprises to automate content creation, simulate real-world scenarios, and generate personalized solutions. NVIDIA’s tools and platforms are the backbone of Gen AI innovation, making this role vital to future-proof business capabilities.

As a Gen AI Developer, you will:

  • Build next-generation AI solutions across industries.

  • Contribute to enterprise AI transformation initiatives.

  • Ensure AI systems are scalable, optimized, and business-ready.

  • Lead innovation in applied research and development.


Career Growth Opportunities

This role offers pathways into senior AI leadership positions such as:

  • Lead AI Architect

  • Principal Machine Learning Engineer

  • AI Practice Head

  • Chief AI Officer (CAIO)

Professionals in this role gain exposure to state-of-the-art AI technologies, NVIDIA’s ecosystem, and multi-cloud deployment environments, which significantly expand long-term career opportunities.


Why Work in Chennai, Bangalore, Pune, or Hyderabad?

Each of these locations is a major AI and technology hub in India, offering:

  • Access to global clients across healthcare, automotive, finance, and manufacturing.

  • Opportunities to collaborate with world-class researchers and engineers.

  • Vibrant tech ecosystems driving cloud computing, AI, and Industry 4.0 advancements.


Why Join This Organization?

1. Innovation at Scale

Work on cutting-edge AI projects leveraging NVIDIA’s ecosystem, from healthcare AI to autonomous driving.

2. Global Clientele

Gain exposure to enterprise projects across industries and develop scalable AI systems.

3. Learning & Growth

Access to continuous training, NVIDIA workshops, and AI certifications.

4. Collaborative Environment

Be part of cross-functional teams focused on research, innovation, and applied AI.


Skills That Provide an Extra Edge

While core expertise is essential, the following skills can make candidates stand out:

  • Experience with reinforcement learning and multi-modal AI systems.

  • Knowledge of AI ethics, model interpretability, and governance.

  • Exposure to edge AI deployments on embedded devices.

  • Familiarity with robotics and simulation environments using NVIDIA Omniverse.


Conclusion

The Gen AI Developer role in Chennai, with flexibility to work from Bangalore, Pune, or Hyderabad, presents an excellent opportunity for experienced professionals with 10–16 years of expertise in AI, GPU computing, and NVIDIA frameworks.

This position is more than just a technical role—it is a chance to shape the future of generative AI, collaborate on industry-defining projects, and build scalable solutions that impact industries worldwide.

If you are passionate about NVIDIA’s AI ecosystem, generative model development, and deploying enterprise-grade AI applications, this role provides the perfect platform to advance your career in AI innovation.

Apply Here

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