13 oct
|
6001 Tecnilogica Ecos.
|
Málaga
13 oct
6001 Tecnilogica Ecos.
Málaga
Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including Open AI, Anthropic, Vertex AI, and open-source models Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams Shape and publish reusable patterns, accelerators,
and engineering standards that scale across the practice and reduce ramp-up time on new client engagements Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders Qualifications Software engineering experience in production environments Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable Demonstrated experience with agentic orchestration frameworks: Lang Graph, Crew AI, Auto Gen, or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (Open AI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: ev
📌 Forward deployed engineer (Málaga)
🏢 6001 Tecnilogica Ecos.
📍 Málaga