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