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

- Design and implement AI applications for retail scenarios such as product search, recommendations, personalization, content understanding, and customer/associate assistants (chat/voice).
- 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 up-to-date 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 Master’s degree in Computer Science, Engineering, Mathematics, or related technical field.
- 3–5 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).

📌 Ai Ml Engineer (Haryana)
🏢 adroitent
📍 Haryana