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AI Context Engineer at AGENTIC | JobVerse
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AI Context Engineer
AGENTIC
Remote
Website
LinkedIn
AI Context Engineer
United States
Contract
2 hours ago
No H1B
Apply Now
Key skills
Python
TypeScript
AI
LLM
OpenAI
Anthropic
RAG
LangChain
LlamaIndex
Chroma
Qdrant
Pinecone
Weaviate
About this role
Role Overview
Design and implement context pipelines for LLM-based systems.
Structure information to maximize model understanding and response quality.
Define strategies for prompt composition, context injection, and tool usage.
Build and optimize RAG pipelines using vector databases.
Implement document ingestion, chunking, embedding, and retrieval strategies.
Improve retrieval precision and reduce hallucinations in AI outputs.
Design and maintain prompt frameworks for AI agents and applications.
Optimize prompts through systematic testing and evaluation.
Integrate prompts with tool use, APIs, and agent workflows.
Structure knowledge bases for AI consumption.
Implement pipelines for data preprocessing, indexing, and embedding generation.
Manage semantic search and knowledge retrieval systems.
Analyze model performance and improve context efficiency.
Monitor latency, token usage, and system scalability.
Develop evaluation methods to measure prompt and context performance.
Work closely with AI Engineers, Data Engineers, and Product Teams.
Translate business requirements into AI-powered solutions.
Document context architectures and AI workflows.
Requirements
Strong experience working with LLMs (OpenAI, Anthropic, open-source models, etc.)
Experience building RAG systems
Knowledge of vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.)
Understanding of embeddings and semantic search
Experience with prompt engineering and prompt evaluation
Programming skills in Python or TypeScript
Experience with API integrations
Understanding of LLM limitations, hallucinations, and context windows
Knowledge of token optimization strategies
Familiarity with agent frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.)
Experience working with structured and unstructured data
Knowledge of JSON, APIs, and data pipelines
Strong analytical and problem-solving mindset
Ability to experiment and iterate rapidly
Clear technical documentation skills
Tech Stack
Python
TypeScript
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Apply Now
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