Senior AI Engineer & GenAI Platform Architect

InteractiveAI Limited; España; Hybrid; PHP 7,994,000 - 9,448,000; Full time

Benefits offered by this job

Equity plan

Health insurance

Flexible work arrangement

Travel opportunities

25 days holidays

Job summary

InteractiveAI Limited is seeking a Lead AI Engineer to own the design, deployment and evolution of our enterprise AI stack, guiding GenAI capabilities and scaling high‑impact AI solutions across the platform.

You will lead cross‑functional squads, own end‑to‑end pipelines, and mentor engineers while collaborating with product and delivery teams to ship client‑ready, measurable AI features.

Qualifications

• 5+ years in data engineering, ML engineering, applied AI, or similar deep technical roles.
• Experience deploying ML models and LLMs to production at scale, with strong inference optimization skills.
• Hands-on experience with agent orchestration tools (LangGraph, LlamaIndex, or similar).
• Experience training deep-learning models and fine-tuning LLMs using modern frameworks.
• Fluent 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 Airflow, Spark, Dagster.
• Solid understanding of ML theory (bias-variance tradeoff, probability, metrics, optimization, evaluation, etc.).
• Comfortable with cloud platforms (AWS, GCP, Azure) and containerized deployments.
• Excellent communication skills with proven ability to mentor engineers or lead technical workstreams.

Responsibilities

• Build and maintain scalable pipelines for structured/unstructured data ingestion, transformation, and feature engineering
• Lead the deployment of ML models and LLMs into production, ensuring performance, reliability, and traceability
• Architect and oversee fine‑tuning pipelines for LLMs with versioned checkpoints, evaluation suites, and experiment tracking
• Design 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 alerts
• Guide feature engineering, imputation, and transformation strategies in complex, real‑world scenarios
• Implement and optimize retrieval‑augmented generation (RAG) workflows, vector search approaches, and knowledge‑grounding strategies

Skills

Python

Data engineering

ML engineering

Deep learning

Cloud platforms

MLOps

Data pipelines

Tools

LangGraph

LlamaIndex

Airflow

Spark

Dagster

Vector databases

Job description

InteractiveAI Limited is seeking a Lead AI Engineer to own the design, deployment and evolution of our enterprise AI stack, guiding GenAI capabilities and scaling high‑impact AI solutions across the platform.

You will lead cross‑functional squads, own end‑to‑end pipelines, and mentor engineers while collaborating with product and delivery teams to ship client‑ready, measurable AI features.