RRemoteville

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RapidCanvas logoRapidCanvas

Sr. AI Engineer

Skills
Microsoft AzureAmazon Web ServicesArtificial IntelligenceEngineeringLangchainLanggraphLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5-10 years of hands-on experience in AI/ML engineering or backend systems
  • Recent exposure to LLMs or intelligent agents
  • Proficiency in Python
  • Experience building scalable backend services or APIs
  • Strong knowledge of machine learning deep learning and Generative AI concepts
  • Hands-on experience with LLM platforms such as GPT or Gemini
  • Deep experience with agentic frameworks like LangChain LangGraph or CrewAI
  • Experience with vector databases such as Pinecone Weaviate or FAISS
  • Proven ability to partner with enterprise stakeholders
  • Excellent presentation skills
  • Comfortable working independently
  • Ability to manage multiple projects simultaneously

Nice to have

  • Customer-focused
  • Collaborative
  • Independent
  • High-impact mindset
  • Strong communicator

Day to day

  • Interact directly with customers to understand business requirements and translate them into production-ready AI solutions.
  • Architect, build, and integrate intelligent agent systems that automate IT functions and solve client problems.
  • Develop RAG pipelines and LLM-based applications using client-specific knowledge, logs, APIs, and agentic frameworks.
  • Collaborate with customer data science teams and internal product, engineering, and solutions teams to deliver seamless AI implementations.
  • Own the AI project lifecycle from data preprocessing and model development through deployment, monitoring, optimization, and customer enablement.