Location: Remote
Do not apply if you have less than 4 years' of full-time work experience
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
• 4–6 years of experience in AI/ML Engineering or AI Systems Development
• Hands-on experience building and deploying production-grade AI systems
• Robust 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
📌 Assistant Lead (India)
🏢 Forage AI
📍 India
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