As an Agentic AI Engineer, you will sit at the intersection of applied AI research and production engineering.

Company: Algoleap Technologies Pvt Ltd

Role: Agentic AI Engineer

Location: Hyderabad, India

Architect multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration layers, with a focus on reliability and observability
Design and implement tool-use pipelines — including function calling, MCP integrations, browser agents, and code interpreters — that enable models to interact with real-world systems
Build memory systems (short-term, episodic, and semantic) and context management strategies to support long-horizon task completion
Define and run evaluation frameworks for agentic performance: task completion rates, error propagation, cost-efficiency, and latency benchmarks
Collaborate with product, research, and data teams to translate business goals into concrete agent specifications and acceptance criteria
Establish guardrails, safety checks, and human-in-the-loop escalation paths to ensure agents behave predictably in edge cases
Monitor deployed agents in production using tracing tools (LangSmith, Weights & Biases, custom observability stacks) and iterate based on failure analysis
Stay current with the rapidly evolving agentic AI landscape and advocate for adoption of relevant advances internally

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