Fusemachines · 12 hours ago
Applied AI Engineer (Automation)
New York, NY
Full-time
Onsite
Mid, Senior Level
3+ years expFusemachines 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 AI and automation solutions for clients, collaborating closely with various stakeholders to build and deploy systems that integrate LLMs into business workflows.
Artificial Intelligence (AI)Big DataMachine LearningSoftware
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
Qualification
Required
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
Preferred
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
Fusemachines
Fusemachines is an enterprise AI services and solutions provider that brings AI education, products, and jobs to underserved communities.
201-500 employees
H1B Sponsorship
Fusemachines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (3)
2020 (13)
Funding
Current Stage
Public CompanyTotal Funding
$9.87MKey Investors
Consilium Investment ManagementBusiness Oxygen (BO2)
2025-12-23Post Ipo Equity· $1M
2025-10-23IPO
2022-01-14Private Equity· $1M
Leadership Team
Sameer Maskey
Founder & CEO
Christine Chambers
Chief Financial Officer
Recent News
legacy.thefly.com
2026-02-05
2026-02-02
2026-02-02
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