Generative AI Engineer

About the Role :

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on

  cutting-edge AI technologies

  and real-world Gen AI applications.
• A

  collaborative and innovative culture

  that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.