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AI Engineer
Capgemini
Maharashtra, IND
Full-time
Associate
Onsite
Discovered 1 weeks ago
PythonTypeScriptLLM APIsAgent frameworksLangGraphCrewAI
Free
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Role Overview
Design, build, and ship production AI systems rather than prototypes or notebook experiments.
Own the path from an LLM or agent concept to a reliable production system operating under real load and failure conditions.
Work as a builder who can explain why production AI systems fail and make sound technical decisions.
Key Skills for This Role
PythonTypeScriptLLM APIsAgent frameworksLangGraphCrewAI
Full Job Posting
About the Role
Design, build, and ship production AI systems rather than prototypes or notebook experiments.
Own the path from an LLM or agent concept to a reliable production system operating under real load and failure conditions.
Work as a builder who can explain why production AI systems fail and make sound technical decisions.
What You Will Own
- Design and build production-grade AI and agentic systems through architecture, deployment, monitoring, and iteration.
- Own at least one non-trivial AI capability from problem framing and evaluation through orchestration, deployment, and post-launch tuning.
- Build deterministic guardrails, retries, validation, fallback paths, and human-in-the-loop checkpoints.
- Design offline and online evaluation pipelines that catch regressions.
- Make informed tradeoffs involving latency, cost, reliability, and token economics.
- Integrate AI systems with existing APIs, data pipelines, and orchestration layers.
- Challenge poor ideas with technical reasoning.
Required Qualifications
- At least 4 years of strong software engineering experience.
- At least 1 to 2 years of hands-on experience shipping LLM or agentic systems in production.
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