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.
Responsibilities
- Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
- Translate 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 systems
- Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
- Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
- Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
- Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
- Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
- Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
- Stay current on LLM tooling and delivery best practices to improve quality and speed
Skills
- 3–8 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 practices
- Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
- Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
- Production 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 stakeholders
- Experience 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 management
- Experience with graph databases / knowledge graphs
- Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
- Prior consulting experience or work in fast-paced startup environments
Company Overview
Fusemachines 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 Sponsorship
Fusemachines 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.