Forward Deployment Engineer

Customer Engagement & Solution Implementation
\n  Partner with enterprise customers to scope and implement AI Agent use cases across
\n complex workflows.
\n  Integrate IFSLoops’ platform with customer systems.
Technical Execution & Optimization
\n  Tune agent behavior and logic to deliver measurable outcomes (, lower costs,
\n increase in efficiency, fewer errors).
\n  Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and
\n user adoption.
Cross-functional Collaboration
\n  Collaborate closely with Product, Engineering, and Customer Success to feed customer
\n insights into the roadmap.
\n  Document technical decisions and hand off stable deployments to customer

Qualifications

2–5 years of experience in a software engineering, solutions engineering, or ML
\n deployment role.
\n  Proficiency in Python, Javascripts and a working knowledge of AI/ML frameworks
\n (, OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.).
\n  You're passionate about AI and possess a working understanding of concepts
\n like LLMs, embeddings, prompt engineering, vector databases, RAG systems,
\n and/or conversational AI workflows.
\n  You're technically adept and comfortable with RESTful APIs (JSON), data migration,
\n and configuring complex software integrations.
\n  You have experience implementing or engineering Enterprise tool ecosystem (CRM,
\n ERP, Helpdesk platforms, Developer platforms, HR systems & Financial systems)
\n  You're a natural educator and excel at communicating with diverse audiences,
\n from developers to executives.
\n  Prior work with enterprise AI platforms or multi-agent orchestration.