Senior AI Engieer

We are looking for a highly skilled Senior AI Engineer – Generative AI with 5–8 years of experience to join our dynamic team. The ideal candidate will lead the design, development, and deployment of advanced AI/ML models, with a strong focus on generative applications that power creativity, automation, and scalable AI-driven solutions.

Lead the design and implementation of scalable, production-ready AI/ML models for real-world applications.

Own the end-to-end model lifecycle: data acquisition, preprocessing, training, validation, deployment, monitoring, and optimization.

Architect and deploy Generative AI solutions (LLMs, diffusion models, multimodal systems) in production environments.

Collaborate closely with data engineers, software developers, product managers, and leadership to integrate AI seamlessly into products and business workflows.

Optimize models for performance, accuracy, scalability, and cost-efficiency in cloud environments.

Mentor junior AI engineers and contribute to best practices in AI development and MLOps.

Evaluate emerging AI research and technologies, driving strategic adoption within the organization.

Maintain high-quality documentation to ensure reproducibility, governance, and knowledge sharing.

Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, or related field.

5–8 years of hands-on experience in AI/ML model development and deployment.

Strong proven experience in Generative AI (e.g., GPT, LLaMA, Stable Diffusion, Midjourney, or similar models).

Deep expertise in Python and AI frameworks (PyTorch/TensorFlow, Hugging Face).

Experience designing and deploying AI solutions using APIs, cloud platforms (AWS/GCP/Azure), and containerization/orchestration tools (Docker, Kubernetes).

Strong understanding of NLP, Computer Vision, multimodal AI systems, and transformer architectures.

Experience building scalable AI systems in production environments.

Experience fine-tuning LLMs and building custom training pipelines.

Hands-on experience with LangChain, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, etc.).

Strong knowledge of MLOps practices, CI/CD for ML, monitoring, and model governance.

Prior experience leading AI initiatives or mentoring teams.

Opportunity to lead cutting-edge Generative AI initiatives.

Fast-paced, collaborative, and innovation-driven environment.

Competitive salary package with strong growth trajectory.

A chance to shape AI strategy and build impactful AI products.