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Mid-level remote role in metro with specialized LLM/RAG requirements, balancing demand and niche expertise.
Highly specialized LLM/RAG, GDPR EU-only constraints and production ML experience limit cross-industry transferability.
Many mandatory, specific technical requirements and explicit years make shortlisting highly strict.
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Design, build, and own multiple specialized AI sub-agents integrated into end-to-end multi-agent AI workflows, ensuring reliable production operation on AWS.
Develop and enhance Retrieval-Augmented Generation (RAG) pipelines, LLM features (classification, extraction, summarization), and AI automation pipelines with GDPR-compliant data handling within EU-only boundaries.
Lead AI-driven software development lifecycle (SDLC) automation, implement adversarial validation agents, automated testing frameworks, and build evaluation metrics to maintain model accuracy, latency, and cost effectiveness.
5–8+ years of software engineering experience with strong, production-grade Python skills.
Hands-on experience building and shipping production LLM-powered systems and multi-agent architectures with deep expertise in RAG technologies and vector databases.
Strong AWS production deployment experience including IAM, observability (Datadog/CloudWatch), and region-aware design; GDPR and data residency compliance experience mandatory.
Work Experience Required: 5–8+ years; Location: Not explicitly mentioned in the JD; Notice Period: Not explicitly mentioned in the JD.
Experienced in architecting and delivering complex multi-agent AI systems and RAG pipelines at production scale with focus on quality and latency trade-offs.
Proficient in advanced prompt engineering, AI automation in SDLC, adversarial agent development, and automated AI feature testing.
Demonstrates end-to-end ownership mindset, skilled in cloud deployments with strong engineering discipline and responsible AI practices within GDPR-compliant environments.