GenAI Engineer

Experience: 5+ Years

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting‑edge AI solutions powered by large language models (LLMs), multimodal AI, and advanced machine learning techniques. The ideal candidate will have strong experience in AI/ML, deep learning, NLP, and hands‑on expertise in building and deploying GenAI applications at scale.

• Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT, LLaMA, Claude, etc.)
• Build and optimize prompt engineering, fine‑tuning, and RAG (Retrieval‑Augmented Generation) pipelines
• Develop scalable AI solutions using frameworks like Lang Chain, Llama Index, or Semantic Kernel
• Work on model evaluation, benchmarking, and optimization for performance, latency, and cost
• Integrate AI/ML models with backend systems, APIs, and cloud platforms
• Implement vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and knowledge retrieval
• Collaborate with cross‑functional teams to define AI use cases and deploy production‑ready solutions
• Ensure AI governance, security, and ethical AI practices
• Stay updated with the latest advancements in GenAI, NLP, and AI infrastructure

• 5+ years of experience in software development, machine learning, or AI engineering
• Strong proficiency in Python and experience with ML frameworks (
  PyTorch, Tensor Flow
  )
• Hands‑on experience with LLMs, prompt engineering, and fine‑tuning techniques
• Strong understanding of NLP concepts and transformer architectures
• Experience building RAG pipelines and embedding‑based search systems
• Familiarity with vector databases and semantic search techniques
• Experience with REST APIs, microservices architecture
  , and backend development
• Good knowledge of cloud platforms (Azure, AWS, GCP) and AI services
• Experience with containerization (Docker, Kubernetes) is a plus

• Experience with multimodal models (text, image, audio)
• Exposure to MLOps tools (MLflow, Kubeflow, CI/CD pipelines)
• Understanding of AI safety, bias mitigation, and compliance frameworks
• Experience with data engineering pipelines and big data technologies
• Contributions to open‑source AI/ML projects
• Strong problem‑solving and analytical skills
• Ability to work in fast‑paced, innovation‑driven environments
• Excellent collaboration and communication skills
• Continuous learning mindset with passion for AI advancements

• Experience with chatbots, copilots, or AI assistants
• Knowledge of graph databases or knowledge graphs
• Familiarity with LLMOps and AI observability tools