Applied AI Engineer
2 weeks ago
Job Title: Applied AI Engineer (LLM Systems)
Experience Level: 3-5 years building production LLM systems
Location: India (Remote)
About Base0:
Base0 is building the future of context-aware AI — a connected brain that follows you across your AI workflow, learns your projects in depth as you work, and executes tasks with complete contextual awareness. At the center of this is our intelligence layer: the systems that extract project knowledge, organize it into a reusable workspace, and deliver precise, context-rich outputs across tools.
We’re a fast-paced, early-stage startup with a founding team that has a proven track record of building, scaling, and successfully exiting category-defining startups. Our culture values speed, ownership, and impact — every team member plays a pivotal role in shaping the product.
Role Summary:
We are seeking to hire an Applied AI Engineer whose primary focus will be to help design, build, and optimize Base0's core intelligence systems. You'll contribute towards our knowledge extraction pipelines, context retrieval (GraphRAG), prompt engineering, and evaluation frameworks that transform fragmented AI conversations into persistent, structured knowledge.
Key Responsibilities:
- Extraction Systems: Build pipelines that capture work specifications, decisions, and requirements from AI conversations — distinguishing committed decisions from explorations
- GraphRAG Implementation: Develop and optimize graph-based retrieval for precise, low-latency context delivery across work items
- Prompt Engineering: Design, test, and maintain complex multi-step prompts for extraction, routing, synthesis, and retrieval across domains
- Evaluation Frameworks: Implement LLM-as-judge systems to measure extraction quality and context relevance
- Model Optimization: Apply fine-tuning/adapters where beneficial; manage data quality and ontology standards
Required Skills:
- 3+ years building production LLM systems with complex prompt chains
- Strong Python proficiency and experience with RAG systems, embeddings, and vector databases
- Proven track record in prompt engineering and structured information extraction
- Experience with LLM evaluation frameworks and optimization (accuracy, latency, cost)
- Hands-on experience with fine-tuning methods (LoRA, adapters)
- Cloud AI services experience (Azure OpenAI preferred)
Nice to Have:
- GraphRAG/Neo4j experience
- LangChain/LlamaIndex frameworks
- Knowledge graphs and ontology design
- Multi-agent LLM systems
Why Join Base0?
We’re on a mission to eliminate the frictions of manual context management by giving every AI you use full knowledge of your projects, preferences, and past work. You'll be building the intelligence layer that transforms how humans work with AI — unlocking the full power of AI on work productivity. Our Applied AI Engineer will have a direct impact on the core product with high ownership.
📩 Send your resume and a brief note about an LLM system you've built to surya@base0.ai
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