Generative AI Engineer
About the Role:
We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services.
Key Responsibilities:
- 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
Required Skills & Experience:
- 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.
Preferred / Good to Have:
- Exposure to Azure AI Foundry or AWS AgentCore.
- Familiarity with MLOps and CI/CD pipelines for AI.