Generative AI Engineer

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

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.