Lead AI Engineer

What You’ll DoAs a Lead AI Engineer at InteractiveAI you’ll operate as the Chief of AIs right hand driving the technical direction of our AI stack accelerating new use cases and guiding the development of advanced GenAI capabilities across the platform.You’ll take ownership of the design development and deployment of cutting‑edge models agentic architectures and fine‑tuning workflows. You will lead experimentation efforts influence architecture decisions mentor engineers and ensure our AI systems are scalable reliable and aligned with enterprise requirements.You’ll work in a cross‑functional squad while also contributing to org‑wide AI standards frameworks and best practices.Build and maintain scalable pipelines for structured / unstructured data ingestion transformation and feature engineeringLead the deployment of ML models and LLMs into production ensuring performance reliability and traceabilityArchitect and oversee fine‑tuning pipelines for LLMs with versioned checkpoints evaluation suites and experiment trackingDesign and implement automated evaluation frameworks (A / B testing LLM‑as‑judge validation suites) and monitoring dashboards to track latency accuracy drift and trigger retraining or alertsGuide feature engineering imputation and transformation strategies in complex real‑world scenariosImplement and optimize retrieval‑augmented generation (RAG) workflows vector search approaches and knowledge‑grounding strategiesLead the development of enterprise‑grade agentic workflows tooling integrations and agent evaluation methodsOptimize inference speed memory usage and cost for high‑throughput systems across the platformOwn reliability and performance of models in production solving challenges around latency accuracy drift and scalingCollaborate with product and delivery teams to ship client‑ready measurable outcomes and accelerate new AI‑driven featuresWhat We’re Looking ForWe’re looking for a top‑tier AI engineer with strong foundations proven delivery and the leadership abilities required to build production‑ready enterprise‑grade AI systems. You should be equally capable of executing hands‑on and guiding the strategic evolution of our platform.Minimum Requirements5 years in data engineering ML engineering applied AI or similar deep technical rolesExperience deploying ML models and LLMs to production at scale with strong inference optimization skillsHands‑on experience with agent orchestration tools (LangGraph LlamaIndex or similar)Experience training deep‑learning models and fine‑tuning LLMs using modern frameworksFluent in Python and experienced with at least one major deep learning library (PyTorch TensorFlow JAX etc.)Strong experience building production‑grade data pipelines (batch or streaming) using tools like Airflow Spark DagsterSolid understanding of ML theory (bias‑variance tradeoff probability metrics optimization evaluation etc.)Comfortable with cloud platforms (AWS GCP Azure) and containerized deploymentsExcellent communication skills with proven ability to mentor engineers or lead technical workstreamsAdditional RequirementsExperience with LLMs and RAG pipelines in production environmentsFamiliarity with vector databases embeddings and document retrieval strategiesExposure to MLOps practices : model monitoring reproducibility CI / CD for ML automated evaluationsExperience optimizing inference latency throughput and cost at scaleExperience working in regulated or enterprise environments (e.g. banking insurance)Bonus : prior experience in technical leadership roles architecture ownership or acting as a technical right‑hand to a CTO / Chief of AIWhat You’ll GetCompetitive base salary (from 110000 / yr to 130000 / yr) performance bonusesAccess to equity / share plan as it rolls out.Health & wellness allowancesPrivate health insuranceFlexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)25 days of holidays / paid time off (excluding local public holidays)Who You AreProactive & Vision‑Driven : You anticipate challenges propose solutions and help shape the future of our AI stack.High‑Ownership Leader : You move with accountability take responsibility for outcomes and raise the engineering bar.Entrepreneurial & Adaptive : You thrive in ambiguity operate with speed and deliver in a high‑paced startup setting.Collaborative Mentor : You work across disciplines guide others and contribute to a culture of high performance.Interview ProcessWe keep our process focused and respectful of your time. Most candidates complete it in 23 weeks. Here’s what to expect :Intro Call 30 minutes with our team to align on fit and expectationsTake‑Home Challenge A practical task based on real‑world problemsTechnical Interview Deep dive into the challenge technical experience and AI engineeringCultural and Values Interview Discussion on motivation cultural and value alignmentOffer Final conversation and offerWe’re building a team of builders people who care about impact quality and growth. If that’s you let’s talkAbout usInteractiveAI is a fast‑growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.We are building the next generation of enterprise‑AI solutions delivering an end‑to‑end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agents and soon fine‑tune and own their own models.We value autonomy speed and innovation and were building a world‑class team to match. Our squads are lean focused and execution‑driven.If you thrive in high‑performance environments and want to be part of a company that rewards transformational outcomes this is for you.Employment Type : Full‑TimeExperience : yearsVacancy : 1 #J-18808-Ljbffr