Dimensionless Technologies•10 days ago
AI Engineer
Recruiter Fit Breakdown & Candid Summary
1
Dimensionless Technologies seeks an AI Engineer with 3-4 years of experience to design and scale RAG pipelines and LLM-powered applications.
2
The ideal candidate has strong Python skills and practical production experience with vector databases and LLM orchestration frameworks.
3
Familiarity with emerging agentic architectures like Model Context Protocol (MCP) and multi-agent systems is a strong plus.
4
Those without hands-on software engineering and LLM/RAG implementation experience should not apply.
Role Responsibilities
- 1Design, build, and maintain RAG pipelines including chunking, embedding generation, vector search, and retrieval optimization.
- 2Develop and fine-tune LLM-based applications for tasks like summarization, Q&A, extraction, and conversational agents.
- 3Build tool-using agents leveraging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
- 4Evaluate and select appropriate LLMs, embedding models, and vector databases based on project requirements.
- 5Implement prompt engineering, structured output strategies, and evaluation frameworks to measure output quality and reduce hallucinations.
- 6Collaborate with backend engineers to integrate AI features into production applications via APIs and microservices.
Skills Matrix
Must-Have Skills
Python
RAG(Retrieval-Augmented Generation)
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Docker
LLM APIs
Nice-to-Have Skills
Model Context Protocol(MCP)
Agent-to-Agent(A2A)
LangGraph
CrewAI
Fine-tuning(LoRA)
LLMOps
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