AI Engineer (GenAI / RAG / LangGraph / Python)
SGD 74K-74K (estimate) Senior-level Contract Full Time
Tasks
- Build and optimize Retrieval-Augmented Generation pipelines
- Collaborate with business stakeholders to define use cases and translate to technical solutions
- Connect LLMs with enterprise APIs databases and document repositories
- Create prompts and prompt templates
- Design and develop generative AI applications in Python
- Develop AI assistants chatbots and agentic AI solutions
- Develop AI workflows and multi agent systems with LangGraph
- Evaluate fine tune and monitor LLM performance
- Follow AI governance security and responsible AI best practices
- Implement vector search and semantic search
- Integrate enterprise knowledge repositories with Elastic Knowledge or Elasticsearch
- Optimize retrieval quality context management and response accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Anthropic Claude | Azure OpenAI | CI/CD | Chroma | Docker | Elastic Knowledge | Elasticsearch | Faiss | Generative AI | Git | Google Gemini | Langchain | Langgraph | Language Models | Large Language Models | Microservices | Milvus | Multi-Agent | Multi-Agent Systems | OpenAI | Pinecone | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vector Search | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer
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