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.

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.