JAGGAER
Website:
jaggaer.com
Job details:
Overview
As a
Tech Lead – Agentic & AI Systems at Jaggaer, you will lead the
hands-on development and technical execution of production-grade, AI-native platforms for enterprise procurement.
You will operate as a
hands-on technical leader , responsible for
designing systems, writing critical code, and driving the team on technical execution . You will work closely with architects to implement scalable and reliable agentic AI solutions.
Principal Responsibilities
Technical Leadership & Direction
- Drive the implementation of architecture and design for agentic AI systems in collaboration with architects.
- Guide the team on system design, implementation approaches, and trade-offs .
- Ensure adherence to engineering standards, design patterns, and best practices .
- Translate architectural direction into clear, executable technical plans .
Hands-on Engineering
- Contribute actively to production code (backend services, orchestration, evaluation pipelines).
- Lead development of core platform components (LLM orchestration, APIs, retrieval systems).
- Drive implementation of RAG/CAG pipelines and agent workflows .
Driving Technical Execution
- Break down complex problems into clear technical execution plans .
- Unblock engineers by providing deep technical guidance and solutions .
- Lead code reviews and design reviews to maintain high engineering quality.
- Ensure timely and high-quality delivery of AI initiatives .
AI/LLM Systems Engineering
- Design and implement agentic architectures, LLM workflows, and multi-agent systems .
- Establish best practices for prompting, tool usage, memory, and failure handling .
- Evaluate and integrate emerging GenAI frameworks and tools .
Quality, Reliability & Observability
- Define and implement evaluation frameworks (RAGAS, DeepEval ).
- Ensure observability across AI systems (latency, cost, accuracy, failures).
- Drive performance optimization and cost efficiency .
Collaboration
- Work closely with product, architects, platform , and DevOps teams to deliver scalable solutions.
- Ensure production readiness on GCP , including scalability, security, and reliability.
Mentorship
- Mentor engineers on system design, AI patterns, and coding standards .
- Elevate team capability in building and operating agentic AI systems .
Position Requirements
Experience
- 8–10 years of software engineering experience.
- Proven experience building and scaling LLM-powered or AI-driven systems in production .
- Experience in a Tech Lead or senior technical role driving execution .
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