Artificial Intelligence Engineer
Debales AIKurnool, IN8 days ago
Job descriptionExperience deploying AI Agents in production (critical requirement). Minimum 1 year experience building AI applications or workflows. Hands-on experience with LangGraph and LangChain. 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, OpenTelemetry, W&B, Honeycomb). Proficient in Python for backend and orchestration. Strong problem-solving skills, self-directed, comfortable in fast-paced environments. Experience with Docker / containerized deployments. Background integrating with APIs and enterprise systems. Understanding of structured evaluation and testing frameworks for LLM applications.
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 LangGraph / LangChain-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
Nice to Have
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Artificial Intelligence Engineer • Kurnool, IN
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