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
- 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‑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‑chance employer. We value curiosity, craftsmanship, and collaboration.

📌 Assistant Lead - Data Scientist (India)
🏢 Forage AI
📍 India