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# AI Engineer

- **Company:** CANTABRIX INC.
- **Location:** Cambridge, MA, United States
- **Experience:** Starter
- **Salary:** $75,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Structures, Github, Python (Programming Language), Machine Learning, Redis, Search Technologies, Software Engineering, SQL Databases, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Fastapi, Containerization, Information Technology, Virtual Agents, Restful APIs, Docker
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aac4dd95ed125580

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field
 * 0-2 years of software engineering, AI, or machine learning experience
 * Strong programming skills in Python
 * Understanding of data structures, algorithms, and software engineering fundamentals
 * Experience building projects using OpenAI, Anthropic, Llama, Gemini, or similar models
 * Familiarity with REST APIs and cloud platforms
 * Strong problem-solving abilities and willingness to learn quickly, * Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks
 * Understanding of embeddings, vector databases, and semantic search
 * Experience with RAG architectures
 * Familiarity with Docker and containerized deployments
 * Knowledge of AWS, Google Cloud
 * Experience building AI projects,
 * Exposure to prompt engineering and agent orchestration frameworks

Technologies You'll Work With

 * Python
 * OpenAI, Anthropic, Gemini, Grok
 * LangChain, LlamaIndex, CrewAI
 * Vector Databases (Pinecone, Weaviate, Chroma, Qdrant)
 * FastAPI
 * Docker & Kubernetes
 * AWS /GCP
 * SQL, Redis
 * GitHub and CI/CD

## Description

* Enhance Cantabrix's Agentic AI-powered applications using Large Language Models (LLMs)
 * Develop autonomous AI agents capable of planning, reasoning, and executing tasks
 * Use Claude Code, Codex and other AI tools as part of daily engineering
 * Design and implement Retrieval-Augmented Generation (RAG) systems
 * Integrate AI agents with enterprise applications, APIs, databases, and workflows
 * Build evaluation frameworks to measure agent performance, accuracy, and reliability
 * Experiment with prompting, tool use, memory architectures, and multi-agent systems
 * Work closely with customers to prototype and deploy AI solutions for real business problems
 * Contribute to backend services, APIs, and cloud infrastructure supporting AI products
 * Stay current with the latest advances in Generative AI and Agentic AI


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