Applied AI Engineer (Automation) at Fusemachines - ScoutJobs - The AI-curated global job board
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Fusemachines
Posted 4 days ago

Applied AI Engineer (Automation)

FusemachinesApplied AI Engineer (Automation)

Requirements

3–8 years software or AI engineering experience, 2–3+ years AI Automation or Generative AI experience, Strong Python and FastAPI skills, Experience integrating LLM APIs, Workflow automation platform experience (n8n, Make, or Zapier), Familiarity with RAG and vector databases, Production engineering with Docker and cloud platforms

Skills

PythonLLMLangChainDockerAWSRAG

About the role

Responsibilities

  • Design, develop, and deploy tailored AI and automation solutions aligned to client objectives.
  • Translate business problems into production-grade AI workflows using Python, automation tools (n8n, Make, Zapier), and LLM APIs.
  • Build and deploy agentic workflows using frameworks like LangChain, LangGraph, and Google ADK.
  • Implement RAG pipelines using vector databases and search technologies such as Pinecone, Elasticsearch, or pgvector.
  • Transition fast prototypes into scalable, production-ready systems with robust testing, monitoring, and deployment.
  • Partner with clients through technical discovery, demos, and clear communication of technical tradeoffs.
  • Maintain and iterate on deployed solutions through feature updates, bug fixes, and prompt improvements.

Requirements

  • 3–8 years of software or AI engineering experience.
  • 2–3+ years of experience specifically in AI Automation, Generative AI, or Agentic AI.
  • Strong Python engineering skills and experience building APIs/services using FastAPI.
  • Hands-on experience integrating LLM APIs (e.g., OpenAI) including prompt design and structured outputs.
  • Proficiency with workflow automation platforms such as n8n, Make, or Zapier.
  • Familiarity with RAG fundamentals, embeddings, and vector search.
  • Production engineering experience with Docker and cloud platforms (AWS, GCP, Azure, or IBM).
  • Experience with async/queuing patterns like Celery, Redis, or Kafka.

Preferred Qualifications

  • Experience fine-tuning LLMs or other machine learning models.
  • Familiarity with observability and tracing tools like LangSmith or OpenTelemetry.
  • Experience with graph databases or knowledge graphs.
  • Knowledge of data governance and AI governance concepts (PII handling, auditability).
  • Prior consulting experience or experience working in fast-paced startup environments.

About the Company

Fusemachines is a leading AI strategy, talent, and education services provider on a mission to democratize AI. Founded in 2013, the company provides enterprise AI products and services to help organizations implement and scale AI across various industries, including retail, manufacturing, and government. With a global presence in the United States, Canada, Nepal, and the Dominican Republic, Fusemachines leverages proprietary AI Studio and AI Engines to drive digital transformation for clients worldwide.

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Applied AI Engineer (Automation)

Fusemachines · New York City

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