Senior Software Engineer - Generative AI

Description :

Job Title : Senior Software Engineer Generative AI

Location : Bangalore, India

Experience : 5 to 7 Years

Job Type : Contract with Client

Job Overview :

We are seeking a highly skilled Senior Software Engineer with a strong focus on Generative AI.

The ideal candidate will have extensive experience in software development and a deep understanding of generative models, large language models (LLMs), and multimodal AI systems.

This role involves designing, developing, and optimizing AI-driven solutions that leverage cutting-edge generative technologies for innovative applications.

Key Responsibilities :

- Design, develop, and deploy generative AI models for a variety of use cases, including text, image, and multimodal applications.

- Optimize diffusion models at scale for performance, efficiency, and accuracy.

- Implement multi-modal alignment strategies to ensure consistency across text, image, audio, and video modalities.

- Fine-tune large language models (LLMs) using techniques such as Reinforcement Learning from Human Feedback (RLHF).

- Engineer sparse attention mechanisms to improve model efficiency and scalability.

- Train foundational models from scratch, including data preprocessing, model architecture design, and distributed training workflows.

- Manipulate and control latent spaces in generative models to produce desired outputs with high fidelity.

- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver AI-driven solutions.

- Stay updated with the latest research and advancements in Generative AI, LLMs, and multimodal AI.

Mandatory Technical Skills :

- Deep understanding of Diffusion Models and optimization at scale.

- Expertise in multi-modal alignment for AI systems.

- Hands-on experience with fine-tuning LLMs using RLHF techniques.

- Proficiency in Sparse Attention Mechanism Engineering.

- Experience in training foundational AI models from scratch.

- Expertise in latent space manipulation and controllability in generative models.

- Strong programming skills in Python, PyTorch, TensorFlow, or JAX.

- Familiarity with transformer architectures, GANs, VAEs, and other generative model frameworks.

- Experience with cloud-based AI infrastructure (AWS, GCP, Azure) for large-scale training and deployment.

Preferred Skills / Nice-to-Have :

- Knowledge of Prompt Engineering for LLMs.

- Experience with Reinforcement Learning, Deep Reinforcement Learning techniques.

- Familiarity with AI model evaluation metrics and benchmarking for generative models.

- Exposure to production-grade ML deployment frameworks, including ONNX, TensorRT, or TorchServe.

Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 5 to 7 years of relevant experience in software development, with a strong focus on AI/ML.

- Demonstrated experience building and deploying generative AI solutions.

- Excellent analytical, problem-solving, and communication skills.

- Ability to work in a fast-paced environment and adapt to changing priorities.

Soft Skills :

- Strong collaboration skills and ability to work across distributed teams.

- Innovative mindset with a passion for cutting-edge AI technologies.

- Attention to detail and strong organizational skills