Assistant Lead - Data Scientist

Forage AI; India; On-site; INR 2,600,000 - 5,200,000; Full time

Job summary

Forage AI is seeking a hands-on AI Systems Engineer to design and deploy end‑to‑end AI/ML solutions. You will build agentic systems capable of reasoning, action, and autonomous operation through structured workflows.

You will mentor junior developers, drive best practices, and collaborate across cloud-native environments on AWS, GCP, and Azure with Python as the primary language.

Qualifications

• 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 Python and backend frameworks.

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.

Skills

Python proficiency

Backend frameworks

Algorithmic problem solving

Production AI systems

Agentic AI experience

Education

Bachelor’s degree in Computer Science

Master’s degree in Artificial Intelligence or related field

Tools

LangChain

LangGraph

OpenClaw

APIs integration

Job description

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.

About Forage AI:

Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

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:
• Proven experience with:
• LangChain
• LangGraph
• 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
• 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.

Forage AI is an equal-opportunity employer. We value curiosity, craftsmanship, and collaboration.