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
- 4–6 years of experience in AI/ML Engineering or AI Systems Development
- Hands-on experience building and deploying production-grade AI systems
- Strong foundation in CNNs (Convolutional Neural Networks), regression models, and traditional ML algorithms (classification, clustering, etc.)
- Proven experience with LangChain, LangGraph, and 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-from-Home Requirements
- High-speed internet for calls and collaboration.
- A capable, reliable computer (modern CPU, 8GB+ RAM).
- Headphones with clear audio quality.
- Stable power and backup arrangements.
ForageAI is an equal-opportunity employer. We value curiosity, craftsmanship, and collaboration.