SeniorLead Applied AI Engineer

About IFS Loops

IFS Loops an IFS company is the first enterprise-grade AI Agent platform built for SaaS CX and mission-critical industries. Our AI Agents are like digital coworkers: secure always learning and working 24/7 to drive measurable business outcomes. As we grow were looking for mission-driven individuals to help us deliver the future of AI-powered operations.

At IFS Loops we:

• Lead with Curiosity:We ask questions learn and communicate with respect for each other.
• Learn by Making:We iterate fast to deliver tangible solutions with humility.
• Listen to the Loop:We use data and feedback to map our path to success and measure it with autonomy and empathy. IFS Loops is redefining how modern organizations scale and our customers rely on us to unify their technical stack and deliver real-time AI-powered insights and Agentic capabilities.

Summary

As a Senior/Lead Applied AI Engineer you will architect build and operate production-grade AI Agents and Multi-Agent systems that translate complex enterprise workflows into autonomous AI agent logic. Youll design configure and deploy AI agents that streamline workflows improve compliance and enhance operational efficiency. The role blends domain expertise hands-on technical skills and applied AI will also provide technical leadership across the agent delivery lifecycle shaping solution design driving implementation standards and supporting production readiness in collaboration with platform and sustaining teams.

AI Agent Design & DevelopmentTranslate business processes and sourcing workflows into robust autonomous AI agent business requirements into multi-agent systems defining agent boundaries tool contracts memory strategy and orchestration flows. Configure and develop AI agents to automate purchasing vendor management and approval MCP (Model Context Protocol)-style tool interoperability and integration patterns to standardize agent-to-tool interactions. Develop and test agent logic using strong engineering practices scripting and platform tools including automated testing reviewable code changes and versioned releases. Design and implement prompting strategies (prompt templates system constraints guardrails output schemas versioning).Collaborate with AI engineers to optimize agent performance scalability reliability and cost/latency trade-offs in production.

Process Understanding & TranslationWork with SMEs to map end-to-end sourcing and purchasing processes into structured agent AI agent behavior aligns with policies business rules and compliance clear technical documentation for deployment configuration and ongoing sustainment including decision logs and runbooks for support workflow risks edge cases and failure modes early and propose mitigation strategies (approvals fallbacks escalation paths).

Cross-functional CollaborationPartner with Implementation & Sustaining Engineering to deploy and maintain AI agents in production with Product and Platform teams to improve features and customers through validation training and feedback cycles to ensure successful technical discussions with cross-functional stakeholders drive alignment on agent behavior and success criteria and unblock delivery.

Qualifications :

• 5 years in software engineering and/or applied AI Engineering experience with 1-2 years focused on Generative AI Agentic AI & LLMs-based systems in production.
• Exposure to one or more domains is preferred: Supply Chain Asset Management Procurement and FSM Experience with MCP/A2A and emerging agent interoperability standards/patterns.
• Strong software development or scripting experience (Python JavaScript or equivalent).
• Strong understanding of enterprise integrations data flow and automation logic.
• Familiarity with AI frameworks or orchestration platforms like LangChain LangGraph preferred.
• Exposure to safety and security practices for agentic systems (guardrails policy engines prompt injection defenses).
• Proven ability to translate ambiguous business goals into technical architectures and executable delivery plans.
• Experience driving technical decisions setting implementation standards and mentoring or guiding other engineers.
• Track record of building reusable patterns and improving engineering quality (testing documentation reliability operational readiness).
• Strong analytical problem-solving and communication skills.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time