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AI Engineering Specialist
2 weeks ago
We are seeking a highly skilled professional to design and deploy production-grade AI microservices.
Key Responsibilities:- Develop LLM pipelines for data ingestion, processing, inference, and output using Python and FastAPI.
- Work hands-on with GCP tools like Vertex AI, Cloud Run, BigQuery, and Cloud Functions.
- Apply advanced prompt engineering techniques 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.
- 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).
- Bachelor's/Master's degree 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.