Description :

We are looking for a Generative AI Engineer to design, build, and deploy generative AI solutions that power intelligent applications across the enterprise.

The role involves working with large language models (LLMs), multimodal models, and AI pipelines to deliver scalable, secure, and business-ready GenAI use cases.

Key Responsibilities :

- Design, develop, and deploy Generative AI solutions using LLMs and foundation models

- Build AI-powered applications such as chatbots, copilots, and intelligent automation systems

- Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning strategies

- Integrate GenAI models with enterprise systems, APIs, and data sources

- Optimize model performance, latency, and cost for production use

- Ensure responsible AI practices including security, privacy, and governance

- Collaborate with product, data, and engineering teams to define AI use cases

- Develop evaluation frameworks to measure accuracy, relevance, and business impact

- Maintain documentation and technical design artifacts

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, AI, Data Science, or related field

- 3+ years of experience in AI/ML or software engineering

- Hands-on experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.)

- Strong programming skills in Python (and familiarity with JavaScript or Java is a plus)

- Experience with prompt engineering, RAG pipelines, embeddings, and vector databases

- Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face

- Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP)

- Knowledge of REST APIs, microservices, and containerization (Docker)