Generative AI Engineer

• Design, develop, and deploy Generative AI and Agent-based solutions in production.
• Fine-tune, evaluate, and integrate LLMs and multi model models for business applications.
• Build and manage AI workflows leveraging AWS or Azure cloud services.
• Collaborate with data, ML, and product teams to operationalize AI capabilities.
• Optimize performance, reliability, and scalability of deployed AI systems.

Requirements

• Atleast 2–3 years of experience in AI/ML development, with a focus on Generative AI.
• Proven track record of implementing production-grade Gen AI or Agent solutions.
• Strong proficiency in Python and familiarity with orchestration frameworks like LangChain, LlamaIndex, or similar.
• Experience with vector databases, and embedding models.
• Cloud experience with AWS (SageMaker, Bedrock) or Azure (OpenAI, AI Studio, Cognitive Services).
• Understanding of prompt engineering, RAG pipelines, and evals.

• Exposure to Azure AI Foundry or AWS AgentCore.
• Familiarity with MLOps and CI/CD pipelines for AI.

Benefits