AI Systems Engineer (LLM + Workflow Orchestration)

Location: Remote (Work from Home)
About Forage AI
Forage AI builds next-generation systems for large-scale data collection and processing — including web crawling, document parsing, enrichment pipelines, and automation. We primarily work in Python, design cloud-native systems (AWS-first, with exposure to GCP/Azure), and increasingly integrate GenAI and agent-based workflows into our stack.
Our engineering culture emphasizes ownership, clarity, and reliability. Every developer owns their module end-to-end and collaborates closely in a high-trust, high-impact environment.
About the Role
We’re looking for a hands-on AI Systems Engineer who has built and deployed end-to-end AI/ML solutions into production. This role goes beyond applied AI—you’ll design agentic systems that can reason, act, and operate autonomously through structured workflows.
You’ll also play a key role in mentoring junior AI developers, ensuring high-quality execution and accelerating team capability.
Key Responsibilities
 Design and build agentic AI systems with multi-step reasoning and workflow orchestration.
 Develop and deploy end-to-end AI/ML pipelines from ideation to production.
 Architect multi-agent workflows with memory, tool usage, and decision logic.
 Work with frameworks like LangChain, LangGraph, and similar ecosystems.
 Build systems integrating LLMs with APIs, databases, and external tools.
 Implement evaluation, validation, and fallback strategies.
Team Responsibilities
 Work closely with and be tagged with junior AI developers on projects.
 Assist, guide, and handhold junior team members in development tasks.
 Act as a go-to person for quickly resolving technical queries.
 Monitor progress and ensure best practices in AI system development.
Must-Have Skills
 3–5+ years of experience in AI/ML Engineering or AI Systems Development
 Hands-on experience building and deploying production-grade AI systems
 Strong foundation in:
o CNNs (Convolutional Neural Networks)
o Regression models
o Traditional ML algorithms (classification, clustering, etc.)
 Proven experience with:
o LangChain
o LangGraph
o Experience with agentic tools/frameworks (e.g., OpenClaw or similar ecosystems)
 Experience designing or building an agentic framework or workflow system from scratch
 Strong algorithmic thinking and problem-solving skills
 Proficiency in Python and backend frameworks
Education
 Bachelor’s degree in Computer Science or
 Master’s degree in Artificial Intelligence / related field
Nice to Have
 Experience with cloud platforms such as Amazon Web Services or Microsoft Azure (including ML Studio or equivalent)
 Experience deploying scalable AI systems in cloud environments
 Published research papers or patents in Agentic AI / LLM systems
 Exposure to advanced AI system design or multi-agent collaboration frameworks
What Sets You Apart
 You’ve built systems where agents take actions—not just generate outputs
 You think in workflows, pipelines, and systems, not isolated models
 You’ve mentored or led junior engineers and enjoy enabling others
 You’ve handled real-world production challenges (scaling, failures, optimization).
Why Join
 Build cutting-edge agentic AI systems (not just surface-level AI work)
 High ownership and opportunity to architect systems from scratch
 Collaborative environment with real technical depth

Work arrangement
Yes