[Remote] Applied AI Engineer (Automation)

Note: The job is a remote job and is open to candidates in USA. Fusemachines is a leading AI strategy, talent, and education services provider, on a mission to democratize AI. As an Applied AI Engineer (Automation), you will deliver high-impact AI and automation solutions for clients, collaborating closely with various stakeholders to build and deploy reliable systems that integrate LLMs into business workflows.ResponsibilitiesDesign, develop, and deploy tailored AI and automation solutions aligned to client objectivesTranslate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systemsBuild and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputsImplement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriateShip fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a teamParticipate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholdersImprove deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automationsProduce clear technical documentation, client demos, and internal playbooks to enable reuse and scalabilityStay current on LLM tooling and delivery best practices to improve quality and speedSkills3–8 years of software or AI engineering experience (mid-to-senior)2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practicesExperience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrationsFamiliarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or ElasticsearchProduction engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholdersExperience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle managementExperience with graph databases / knowledge graphsFamiliarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)Prior consulting experience or work in fast-paced startup environmentsCompany OverviewFusemachines is an enterprise AI services and solutions provider that brings AI education, products, and jobs to underserved communities. It was founded in 2013, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is http://fusemachines.com/.Company H1B SponsorshipFusemachines has a track record of offering H1B sponsorships, with 1 in 2024, 3 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.