Artificial intelligence engineer

About Debales AI  Debales AI builds autonomous AI Agents that seamlessly integrate into existing systems — no new dashboards, no added workflow overhead.

With 100+ integrations and 80+ specialized AI Agents, we streamline high-volume operations across Logistics, E-Commerce, and Education, helping teams scale efficiency without scaling headcount.


Role Overview 
We're looking for a Full-Time AI Developer to design, build, and deploy AI Agents into production environments.

You'll work directly on Lang Graph / Lang Chain-based pipelines and play a key role in architecting multi-agent systems that interact with real customer data and workflows.


This role is ideal for someone who loves hands-on building, fast iteration, and ownership.


Key Responsibilities
Architect and develop LLM-based multi-agent workflows.


Deploy and maintain AI Agents in live production environments.


Integrate Agents with 3rd-party systems and internal APIs.
Improve model performance using evaluation + observability tooling.


Collaborate with engineering + product teams to ship fast.


Required Qualifications

Experience deploying AI Agents in production (critical requirement).


Minimum 1 year experience building AI applications or workflows.


Hands-on experience with Lang Graph and Lang Chain.


Strong understanding of LLM application architecture, state handling, and tool-calling.


Experience with RAG, embeddings, vector databases, and NLP pipelines.


Familiarity with AI observability tools (e.g., Langfuse, Phoenix, Open Telemetry, W&B, Honeycomb).


Proficient in Python for backend and orchestration.


Strong problem-solving skills, self-directed, comfortable in fast-paced environments.


Location - Work from Home
Salary - Rs. per month (in hand)
Nice to Have
Experience with Docker / containerized deployments.


Background integrating with APIs and enterprise systems.


Understanding of structured evaluation and testing frameworks for LLM applications.