Fusemachines: Applied AI Engineer (Automation)

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Overview

The Applied AI Engineer (Automation) position at Fusemachines is a full-time role that offers the opportunity to work remotely from anywhere in the world. The successful applicant will play a vital role in delivering high-impact AI and automation solutions for clients. This role involves handling work from the initial requirements discovery phase all the way through to production deployment, focusing on building reliable and maintainable systems that incorporate Large Language Models (LLMs) into real business workflows.

Role Responsibilities

As an Applied AI Engineer, your responsibilities will encompass a variety of tasks aimed at both design and deployment of AI solutions:

• Design & Deploy: You'll be engaged in the design, development, and deployment of custom AI and automation solutions that align with client objectives.

• Build Workflows & Services: The role requires translating intricate business challenges into production-grade AI workflows and services. This involves using Python, automation tools such as n8n, Make, or Zapier, and interfacing with LLM platforms and APIs like OpenAI, IBM watsonx.ai, and Amazon Bedrock.

• Agentic Systems: You'll work on developing agentic workflows utilizing tools such as LangChain and LangGraph, including structured outputs and tool interactions.

• Retrieval & Knowledge Systems: Implementation of RAG pipelines and vector databases for maintaining and searching knowledge efficiently will be essential, using technologies like Pinecone and Elasticsearch.

• Prototype to Production: You'll transform fast prototypes into robust production systems focusing on testing, reliability, and deployment.

• Client Partnership: Engage in technical discussions with clients, run demos, and communicate trade-offs effectively, showcasing your expertise.

• Ongoing Support & Iteration: After deployment, you will work on refining and enhancing solutions through continuous updates and additional automations.

• Documentation: Clear technical documentation will be crucial to ensure the reusability and adaptability of solutions in diverse contexts.

• Continuous Learning: Staying current with advancements in LLM technology and delivery best practices will be key to maintaining high standards of quality and efficiency.

Success Metrics

Success in this role will be gauged by how effectively the solutions meet or exceed client expectations and the measurable impact they bring, such as time savings, cost reductions, and improved operational efficiencies. Clients should view you as a trusted engineering partner, with demonstrated increases in the uptake of deployed AI workflows. Deliverables should consistently be production-ready and maintainable, with appropriate monitoring and documentation.

Required Qualifications

To be considered for this position, candidates must possess the following qualifications:

• 3–8 years of experience in software or AI engineering (mid-to-senior level).
• 2–3+ years of experience in AI Automation, Generative AI, or Agentic AI.
• Strong Python programming skills with experience building APIs/services using frameworks like FastAPI.
• Hands-on experience with LLMs, specifically with integrating OpenAI APIs and managing prompt designs and structured outputs.
• Familiarity with at least one workflow automation platform, showcasing reliability in building integrations.
• Exposure to RAG fundamentals and retrieval systems, especially with vector databases and search technologies.
• Knowledge in production engineering principles, including cloud deployment (AWS, GCP, Azure, IBM), and experience with asynchronous patterns.
• Ability to operate comfortably in a client-facing capacity, running technical calls, and collaborating with a diverse group of stakeholders.

Preferred Qualifications

• Experience in fine-tuning LLMs or other ML models is a plus but not a requirement.
• Familiarity with observability tools and tracing suggests a good understanding of the systems involved.
• Experience with knowledge graphs and graph databases will be valuable.
• An understanding of data governance and AI governance concepts is also beneficial.
• Previous consulting experience or work in fast-paced startup environments is preferred and can enhance your candidacy.

Company Commitment

Fusemachines is an Equal Opportunities Employer, dedicated to fostering a diverse and inclusive work environment. They advocate for equal consideration for all qualified applicants, regardless of race, religion, gender, sexual orientation, national identity, or any other characteristic protected by law.

In summary, the Applied AI Engineer (Automation) role at Fusemachines offers a fulfilling opportunity to work at the intersection of AI and automation, allowing for significant contributions to various client projects and a chance to grow within a diverse, innovative environment.

This job offer was originally published on weworkremotely.com