AI Engineer

As an AI Engineer at InteractiveAI youll lead experimentation and deployment of cutting-edge models agentic architectures and fine-tuning workflows - shaping the core systems that power our autonomous agents. Embedded in a cross-functional squad youll design and implement advanced AI systems that integrate reasoning memory and tool use to solve real-world business problems. Youll own end-to-end model and data pipelines support scalable LLM deployments and contribute to robust production-grade AI infrastructure.

• Build and maintain scalable pipelines for structured/unstructured data ingestion transformation and feature engineering
• Deploy ML models and LLMs into production ensuring performance reliability and traceability
• Build streamlined fine-tuning pipelines for LLMs with versioned checkpoints and hyperparameter tracking
• Implement automated evaluation (A/B tests LLM-as-judge validation suites) and dashboards to monitor latency accuracy drift and trigger retraining or alerts
• Feature engineering imputation and transformation techniques in practical scenarios
• Implement retrieval-augmented generation (RAG) workflows and evaluate performance
• Implement enterprise-grade agentic workflows and evaluate LLM outputs
• Optimize inference speed and memory usage in high-throughput systems
• Monitor and improve model performance in production including latency accuracy and drift
• Work alongside product and delivery leads to ensure client-ready measurable outcomes

Were looking for someone with strong foundations proven delivery and the ability to build production-ready AI systems. Heres what success looks like for this role:

Minimum Requirements:

• 3 years in data engineering ML engineering or applied AI roles
• Experience deploying models to production and optimizing inference performance
• Hands-on experience with at least one agent orchestration tool (LangGraph LlamaIndex)
• Experience training deep-learning models and fine-tuning LLMs
• Fluent in Python for data and ML development and hands-on experience with at least one deep learning framework (PyTorch TensorFlow etc.)
• Experience building data pipelines (batch or streaming) using tools like Airflow Spark
• Solid grasp of ML concepts (bias-variance tradeoff supervised vs. unsupervised learning precision-recall tradeoffs)
• Comfortable working with cloud platforms (AWS GCP or Azure)
• Strong communication skills and experience working in cross-functional teams

Additional Requirements:

• Experience with LLMs and RAG pipelines in production
• Familiarity with vector databases embeddings and document retrieval strategies
• Exposure to MLOps practices: monitoring reproducibility CI/CD for ML
• Experience optimizing inference latency and cost at scale
• Experience working in regulated or enterprise environments (e.g. banking insurance)

• Competitive base salary (up to 100000/yr) performance bonuses
• Future equity opportunity for high performers
• Health & wellness allowances
• Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)
• Private health insurance
• 25 days of holidays/paid time off (excluding local public holidays)

• Proactive & Resourceful: You take initiative to identify gaps and drive solutions without waiting for instructions.
• Accountable & High-Ownership: You treat our codebase and infrastructure as your own and you honor commitments.
• Entrepreneurial Mindset: You thrive in ambiguity embrace rapid change and deliver in a high-paced startup setting.
• Team Player: You collaborate effectively across disciplines give and receive feedback constructively and mentor others.

We keep our process focused and respectful of your time. Most candidates complete it in 23 weeks. Heres what to expect:

1. Intro Call 30 minutes with our team to align on fit and expectations
2. Take-Home Challenge A practical task based on real-world problems
3. Technical Interview Deep dive into the challenge technical experience and AI engineering
4. Cultural and Values Interview Discussion on motivation cultural and value alignment
5. Offer Final conversation and offer

Were building a team of builders people who care about impact quality and growth. If thats you lets talk

InteractiveAI 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 agentsand 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.