Role & responsibilities
Will work with experienced AI engineers, platform engineers, data engineers, product managers, and business-aligned technology teams to design and deliver production-quality AI services and applications.
Design, develop, test, and operate production-grade AI services and applications.
Write clean, maintainable, well-tested production code using Python and contemporary software engineering practices.
Develop APIs, services, libraries, and reusable components that support AI applications across the firm
Build Retrieval-Augmented Generation capabilities using embeddings, semantic search, hybrid retrieval, vector databases, document processing, and structured data retrieval.
Develop reusable services for document extraction, search, retrieval, and AI-powered workflows.
Contribute to enterprise AI gateway capabilities supporting model access, routing, resiliency, usage tracking, and cost management.
Develop common APIs and SDKs that make AI platform capabilities easy for other engineering teams to consume.




Partner with AI Product Management, Data Engineering, and business-aligned technology teams to translate business requirements into working technical solutions.
Develop application-specific AI workflows and integrations using shared enterprise AI platform services.
Build and maintain CI/CD pipelines for AI applications and services.
Develop automated testing for software components, prompts, retrieval pipelines, and AI workflows.

Preferred candidate profile
4 to 8 years of qualified software engineering, data engineering, machine learning engineering, or related experience.
Hands-on experience developing machine learning, Generative AI, LLM, or data-intensive applications.
Robust Python development skills and experience writing production-quality software.
Experience designing or consuming APIs, services, and cloud-based applications.
Experience with a major cloud platform, preferably Azure.

📌 Senior Associate, Ai Engineer Mumbai (India)
🏢 Ares Operations
📍 India