Senior / Expert AI Native Software Engineer
3 days ago
Madrid
A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. An AI Native Engineer with a strong foundation in building cloud-native solutions and hands‑on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You'll shape how enterprises adopt AI-native engineering – either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end‑to‑end as a senior IC. • Partner directly with client stakeholders – acting as both technologist and trusted advisor – defining use cases, rapidly prototyping, and deploying agentic workflows that are robust, secure, and operational in complex enterprise domains., • Design and build enterprise‑ready AI agents incorporating retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability., • Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly., • Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi‑provider enablement., • Contribute to shared libraries, SDKs, and patterns that can be reused across clients., • Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems., • Own deployment, monitoring, and troubleshooting for your services in production., • Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain‑specific processes and constraints., • Work closely with client SMEs to translate business workflows into agentic solutions., • Participate in and/or lead design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption., • Communicate trade‑offs, risks, and recommendations clearly to both technical and non‑technical audiences., • Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness., • Iterate rapidly based on data, feedback, and changing requirements., • Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps., • Contribute to internal communities of practice around AI‑native and agentic engineering., • 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 trade‑off 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 OpenAI, 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., • Strong 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 (LangGraph, CrewAI, AutoGen, or equivalent) at production depth, not tutorial level., • Direct experience calling LLM APIs (OpenAI, 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: eval harness design, prompt versioning, and production observability., • Cloud‑native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)., • Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience., • Quality of experience is weighted over years; a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure., • People lead responsibilities: experience managing, developing, and performance‑managing a team of engineers; setting individual development plans and conducting career conversations. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. #J-18808-Ljbffr
Waiters
Sales & Marketing
Chef & Cook
Retail
Salon & Beauty
Construction & Trades
Fast Food
Accounting & Finance
Animal Care
Art, Media, Design
Bar Staff
Barista
Child Care
Cleaning
Customer Service
Driver & Delivery
Education
Engineering
Entertainment
Events & Promotion
Fashion
Healthcare
Host & Hostess
Information Technology
Kitchen Porter
Legal
Management
Manufacturing
Office & Admin
Online Jobs
Science
Security
Sports & Wellness
Warehouse
Writing & Editing
Other
