Crossian

Overview of job

ABOUT THE ROLE

As an Intermediate or Senior AI Engineer, you’ll be designing and deploying production-grade AI systems that directly move revenue, shape product strategy, and unlock growth across Global markets. Your models should serve for billions of events,  live traffic, and show up in Company-wide KPOs. Beside, from fine-tuning LLMs to crafting recommendation engines, from designing Retrieval-Augmented Generation (RAG) pipelines to launching scalable microservices, you’ll work in the core Business Enablement (BE) squad alongside Product, Tech, and Marketing in a fast-paced, Agile playground where experimentation, ownership, and impact rule the day.

If you’re ready to jump into real-world AI that delivers tangible outcomes in Global eCommerce, Crossian is your start.

WHAT YOU WILL DO

Model Development & Innovation

• Build, train, and tune ML models for recommendations, propensity scoring, fraud detection, and demand forecasting.
• Fine-tune and evaluate LLMs (GPT, Llama 3, Claude, etc.) for RAG pipelines, chatbots, and content-generation features.
• Prototype quickly, run offline/online experiments, and iterate based on precision, recall, CTR, and business lift.

MLOps & Productionisation

• Package models into scalable micro-services with Docker/Kubernetes, SageMaker, Vertex AI, or on-prem GPU clusters.
• Automate training, CI/CD, and rollout using GitLab CI, Terraform, and blue/green or canary deployments.
• Implement monitoring for drift, latency, and cost, owning the full model lifecycle from commit to sunset.

Data Engineering & Feature Platforms

• Partner with Data Engineering to define feature contracts, real-time pipelines (Kafka, Kinesis), and data-quality checks.
• Design vector-database schemas (OpenSearch, Pinecone, Chroma) and retrieval logic for RAG-based solutions.

Experimentation & Evaluation

• Design online A/B and interleaving tests to measure incremental lift and guard-rail metrics.
• Publish clear experiment readouts that influence product roadmaps and marketing budgets.

Cross-Functional Collaboration & Mentorship

• Embed in product squads, translating business problems into model specs and success metrics.
• Mentor junior engineers and drive best practices in coding standards, documentation, and peer review.

• Competitive Compensation: Base salary plus performance bonuses worth up to 30 months of pay per year.
• Massive AI Playground: Billions of daily events across text, clickstream, images, and payments ready for experimentation.
• Rapid Career Growth: Clear promotion pathways, GPU credits for side projects, conference budget, and mentorship from senior ML leaders.
• High-Impact Shipping: Your models serve live traffic, influence eight-digit revenue decisions, and feature in company-wide OKRs.
• Ownership Culture: You own your code, experiments, and roadmap and have every opportunity to showcase your capabilities.