Experience: 5-10 years
Location: Chennai
Interview: Face-to-face
We are seeking a Gen AI Engineer to design, build, and deploy generative AI systems that power advanced language, multimodal, and inference applications. The ideal candidate will combine strong machine learning fundamentals with hands-on experience in large language models, model optimization, and productionization to deliver reliable, scalable, and ethically aligned AI products.
Responsibilities
- Architect, develop, and fine-tune generative models for language and multimodal tasks.
- Implement training and evaluation pipelines for large language models, including distributed training and data preprocessing.
- Apply model optimization techniques such as quantization, pruning, and knowledge distillation to meet latency and cost targets.
- Build robust inference services and APIs for model serving, monitoring, and autoscaling in production.
- Collaborate with product, design, and research teams to translate requirements into technical solutions and measurable metrics.
- Implement MLOps best practices: CI/CD for models, reproducible training, model versioning, and automated testing.
- Maintain model performance, fairness, and safety through evaluation frameworks and continuous monitoring.
- Document designs, tradeoffs, and runbooks for operational support and knowledge transfer.
Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent experience.
- Proven experience developing and deploying generative models or large language models in production environments.
- Strong software engineering skills with proficiency in Python and model development frameworks.
- Experience with distributed training, GPUs, and performance optimization for inference.
- Familiarity with cloud platforms, containerization, orchestration, and MLOps tooling.
- Excellent problem-solving skills, clear communication, and the ability to work cross-functionally.
- Demonstrated commitment to AI safety, fairness, and ethical deployment practices.
Skills
The Gen AI Engineer should be proficient in the following areas and tools to be successful in this role.
- Python
- PyTorch
- TensorFlow
- JAX
- Hugging Face Transformers
- OpenAI API
- Large Language Models
- Natural Language Processing
- Machine Learning
- Deep Learning
- Prompt Engineering
- Model Optimization
- Quantization
- Reinforcement Learning
- MLOps
- Docker
- Kubernetes
- CUDA
- Distributed Training
- Data Engineering
- SQL
- NoSQL
- Git
- CI/CD
- RESTful API
- Model Evaluation
- AI Ethics
Pay: ₹1,075,492.73 - ₹3,500,000.00 per year
Work Location: In person
