Senior AI Engineer — Enterprise AI Solutions & Agents

RapidCanvas

United States

Remote

USD 140,000 - 190,000

Full time

8 days ago

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Job summary

RapidCanvas is seeking a senior AI/ML engineer to deliver production AI applications for enterprise customers. You will connect business needs with applied ML, designing agent and language model solutions, implementing them, and continuously optimizing results.

You will collaborate with customer data science teams and internal engineering, product, and solutions teams to ensure scalable, reliable deployments and maintainable Python code that meets performance and scale goals.

Qualifications

  • 5+ years AI/ML or backend engineering experience.
  • Proficient in Python and building scalable APIs.
  • Strong ML/deep learning grounding and practical LLM use.
  • Hands-on with LangChain, LangGraph or CrewAI and vector DBs.
  • Excellent communication and ability to manage multiple projects.

Responsibilities

  • Clarify customer goals and translate them into reliable AI solutions.
  • Build multi-step agents for customer use cases across data sources.
  • Create retrieval-augmented generation pipelines for grounding models.
  • Oversee data prep, model development, deployment, and monitoring.
  • Collaborate with data science, engineering, and product teams for integrations.
  • Provide product feedback and maintain scalable Python code.

Skills

Python
AI/ML engineering
Backend services
APIs
Language models
Generative AI
Agent frameworks
LangChain
LangGraph
CrewAI
Vector databases

Tools

Pinecone
Weaviate
FAISS

Job description

RapidCanvas is seeking a senior AI/ML engineer to deliver production AI applications for enterprise customers. You will connect business needs with applied ML, designing agent and language model solutions, implementing them, and continuously optimizing results.

You will collaborate with customer data science teams and internal engineering, product, and solutions teams to ensure scalable, reliable deployments and maintainable Python code that meets performance and scale goals.

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