Forward Deployed Engineer

New

Remote in IndiaContractMiddle

Salary not disclosed

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Job Details

Agentic Expertise: Deep understanding of modern agent architectures (e.g., ReAct, Plan-and-Execute) and orchestration frameworks (e.g., LangGraph, CrewAI, or Semantic Kernel).
Engineering Rigor: 1–3 years of software engineering experience (or a standout portfolio of agentic projects) with strong proficiency in Python and .NET.
LLM Proficiency: Hands-on experience with LLM APIs (OpenAI, Anthropic) and a proven ability to translate raw model outputs into structured, deterministic actions.
Systems Thinking: Experience building retrieval pipelines (RAG), working with vector databases, and designing clean APIs that agents can easily consume.
Full-Stack Mindset: Ability to build the lightweight dashboards and interfaces (Vue.js/React) necessary for humans to interact with and monitor your agents.

Architect Agentic Workflows: Design and implement autonomous agents capable of handling multi-step reasoning, tool-calling, and error recovery.
Operational Discovery: Embed with logistics and support teams to identify high-impact opportunities for agentic intervention.
End-to-End Ownership: Own the entire agent lifecycle: Discovery → Agent Architecture → Prompt Engineering/Fine-tuning → Hardening → Production Deployment.
Build for Reliability: Develop robust guardrails, evaluation frameworks, and logging systems to ensure agents perform predictably in a high-stakes supply chain environment.
Contribute to the "Agent Hub": Document and publish reusable agent modules and toolsets to accelerate AI enablement across the entire organization.
Rapid Iteration: Bridge the gap between "cool demo" and "production tool" by shipping small, gathering feedback from domain experts, and iterating fast.

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