Role : Cloud AI Engineer.
Location : : 7 Years.
Notice Period : Immediate to 30 Days.
What Youll Do :
- Build and deploy production-grade AI microservices with Python & FastAPI.
- Design LLM pipelines : data ingestion, processing, inference, and output.
- Work hands-on with GCP tools like Vertex AI, Cloud Run, BigQuery, and Cloud Functions.
- Apply advanced prompt engineering to improve LLM performance.
- Use embeddings, vector stores, and RAG architectures for information retrieval.
- Leverage frameworks like LangChain, LangGraph, Google ADK, or CrewAI.
- Integrate AI services with enterprise systems and ensure robust CI / CD workflows.
What Were Looking For :
Hands on experience in AI / ML development, especially with LLMs.Strong Python skills and API development experience using FastAPI.Deep experience with GCP AI / ML services, including Vertex AI.Proven prompt engineering skills (few-shot, CoT, instruction tuning).Hands-on with vector databases, semantic search, and orchestration frameworks.Strong understanding of software engineering principles and version control (Git).Bonus Points :
Bachelors / Masters in Computer Science.Experience with MLOps practices.Open-source contributions or a strong portfolio.Solid communication skills and ability to explain complex AI concepts clearly.(ref : hirist.tech)