Role Overview :
We are seeking highly skilled Generative AI Engineers to join our AI innovation team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI / ML solutions with expertise in cloud platforms (Azure, GCP, or AWS). Candidates with deeper experience in LLMs, RAG, and advanced AI architectures will be considered for senior-level roles.
Key Responsibilities :
- Design, develop, and implement AI-driven applications leveraging Generative AI, LLMs, and related frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into enterprise systems and products.
- Deploy and scale AI / ML models on cloud platforms (Azure, GCP, or AWS) ensuring performance, scalability, and security.
- Research and experiment with Retrieval-Augmented Generation (RAG) techniques to improve contextual accuracy in AI outputs.
- Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases.
- Stay up-to-date with the latest advancements in Generative AI, ML Ops, and cloud-native AI services.
- Provide mentorship and technical guidance to junior engineers (for senior-level roles).
Required Skills & Experience :
For 3 - 5 Years Experience :
Strong background in Artificial Intelligence / Machine Learning (NLP, Generative AI).Hands-on experience with Azure AI Services / GCP Vertex AI / AWS Bedrock (any 2 cloud platforms preferred).Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Hugging Face).Knowledge of APIs, cloud deployment, and model lifecycle management.For 6 - 7 Years Experience (Senior Level) :
Proven expertise in LLMs (GPT, LLaMA, etc.) and RAG pipelines.Strong understanding of vector databases (Pinecone, Weaviate, FAISS, etc.).Experience in fine-tuning and optimizing large-scale models for production.Ability to design and implement scalable AI architectures in multi-cloud environments.Experience in leading AI projects, mentoring teams, and client interaction.(ref : hirist.tech)