AI/ML Engineer – Generative & Agentic AI

Job Title: AI/ML Engineer
Company: Express Analytics (EA)
Location: Remote
Employment Type: Full‑time
Experience: 1-3 Years
Salary: Competitive, up to market standards

About Express Analytics

Express Analytics builds AI‑powered marketing and customer analytics solutions for global clients, combining data engineering, ML, and generative AI to drive measurable business outcomes. You’ll work on production systems that power agentic marketing workflows, customer analytics products, and domain‑specific GenAI applications.
Role overview

As an AI/ML Engineer, you will design, build, and ship machine learning and generative AI solutions end‑to‑end—from problem definition and modeling through to deployment, monitoring, and iteration. You will work closely with product, data, and engineering teams to turn business requirements into robust models and agentic workflows that run reliably in production.

What you’ll do

Design and build ML & GenAI pipelines
● Own end‑to‑end pipelines for recommendation, forecasting, customer analytics,



and generative/NLP workloads (including retrieval, chunking, and summarization).
● Select and implement appropriate models (classical ML, deep learning, and LLM‑based approaches) based on use‑case constraints.

Agentic / LLM systems engineering
● Implement multi‑step and multi‑agent workflows using LLM frameworks (e.g., LangChain, LangGraph or similar) with tools, memory, and external API integrations.
● Build and refine RAG pipelines: document preprocessing, embeddings, retrieval strategies, evaluation, and guardrails.

Productization & backend integration
● Productionize models behind APIs and microservices using Python (FastAPI or similar) and integrate with existing product backends and frontends.
● Implement CI/CD for ML services, containerize workloads (Docker), and collaborate on cloud deployment (e.g., GCP/AWS/Azure).

Experimentation, evaluation, and optimization
● Define success metrics, design

📌 AI/ML Engineer (India)
🏢 Express Analytics
📍 India