Artificial Intelligence Engineer

Job Description :

Title : AI Engineer

Role Summary :

We are seeking a highly skilled AI Engineer to design, build, and deploy production-grade AI and Generative AI solutions that power core retail capabilities across merchandising, supply chain, pricing, stores, and digital commerce.

This role is deeply hands-on and focused on turning AI models into reliable, scalable, and governed products using modern data and AI platforms

Key Responsibilities :

AI System Design and Engineering :

- Translate highlevel product requirements into technical designs, model choices, and service interfaces that can be implemented and iterated quickly.

- Implement LLM and NLPbased solutions (e.g., retrievalaugmented generation, document Q&A, summarization, classification) for internal knowledge assistants and customerfacing experiences.

- Work with frontend and backend engineers to embed AI capabilities into web, app, store, and internal tools, focusing on usability and performance.

Data, Modeling, and Evaluation :

- Partner with data engineers to access and prepare data from POS, ecommerce, CRM/loyalty, product catalogs, and supplychain systems; design data contracts and schemas that support AI applications.

- Build and iterate on models using appropriate techniques (traditional ML, deep learning, embeddings, LLMs), balancing accuracy, robustness, and cost.

- Set up evaluation pipelines, offline metrics, and online experiments (A/B tests) to measure impact on key KPIs like conversion, engagement, attach rate, instock rate, and associate productivity.

- Instrument applications with logging, tracing, and dashboards to monitor quality, latency, and errors in production.

Engineering Excellence :

- Develop reliable, welltested APIs, microservices, and jobs that run in cloud environments (AWS/Azure/GCP), using modern DevOps/CI/CD practices.

- Own the full lifecycle of features you build from design and implementation through deployment, monitoring, and iteration.

- Contribute to shared libraries, templates, and best practices that make it easier for other teams to build AI features consistently.

- Collaborate across time zones, maintaining clear communication and documentation for stakeholders.

Minimum Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related technical field.

- 3 to 5 years of experience building and deploying AI/MLpowered applications in production, ideally in consumer, ecommerce, or retail environments.

- Strong programming skills in Python and experience with modern ML/AI frameworks (PyTorch, TensorFlow, scikitlearn, Hugging Face, or similar).

- Experience with LLMs and NLP (prompt design, embeddings, vector databases, RAG) or strong willingness and demonstrable ability to ramp quickly.

- Hands-on experience with cloud platforms (AWS, GCP, or Azure), ML services (SageMaker, Vertex AI, Azure ML) and Databricks.

- Experience building and consuming RESTful APIs, working with SQL/NoSQL databases, and deploying services in cloud environments.

- Solid understanding of software engineering fundamentals: data structures, algorithms, testing, code reviews, and CI/CD.

- Strong communication skills and ability to collaborate with crossfunctional partners across time zones.

Nice to Have :

- Experience in retail, ecommerce, logistics, or similar highvolume B2C contexts.

- Exposure to MLOps tools and concepts (feature stores, model registries, monitoring) and modern data stacks (Spark/Kafka/Airflow/dbt)