GEN AI Engineer

****************Local Preferred***********************

Role Overview

We are seeking a talented Generative AI Engineer with strong expertise in Python and modern AI/ML frameworks to design, build, and deploy Generative AI-powered solutions. The ideal candidate will work on developing large language model (LLM) integrations, fine-tuning, and productionizing AI applications to accelerate digital innovation.

Key Responsibilities

• Design, develop, and optimize Generative AI models for text, image, and multimodal use cases.
• Build and fine-tune LLMs, Diffusion, and Transformer-based models using Python.
• Integrate AI solutions into scalable production systems with APIs and cloud services.
• Implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Collaborate with product, data, and engineering teams to deliver AI prototypes into production.
• Work with vector databases (Pinecone, FAISS, Weaviate, etc.) for retrieval-augmented generation (RAG).
• Leverage cloud platforms (AWS, Azure, GCP) for scalable AI infrastructure.
• Stay up to date with emerging AI research and proactively apply new techniques.

Required Skills & Experience

• 5-8 years of Python development experience.
• Hands-on expertise in Generative AI, LLMs, Transformers, or Diffusion Models.
• Strong background in PyTorch, TensorFlow, Hugging Face Transformers.
• Knowledge of fine-tuning, prompt engineering, embeddings, and model optimization.
• Experience deploying models using AWS Sagemaker, GCP Vertex AI, or Azure ML.
• Familiarity with API development (FastAPI/Flask/Django) for AI service integration.
• Solid understanding of data preprocessing, pipelines, and system design.

Nice to Have

• Experience with LangChain, LlamaIndex, or multi-agent AI frameworks.
• Knowledge of Docker, Kubernetes (EKS/GKE/AKS) for AI deployments.
• Familiarity with observability and monitoring tools for AI workloads.
• Exposure to reinforcement learning, conversational AI, or multimodal AI.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and cross-functional collaboration skills.
• Ability to work independently and drive AI projects from POC to production.
• Passion for continuous learning and exploring cutting-edge AI technologies.