LLM-powered application jobs

Senior AI Engineer

Mastercard · Posted Oct 23, 2026

Open

Pune, Maharashtra, India
Senior

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Senior AI Engineer

Mastercard · Posted Oct 23, 2026

Open

Pune, Maharashtra, India
Senior

Apply with RefersoAI Apply on careers page

AI Engineer II

Mastercard · Posted Oct 26, 2026

Open

Pune, Maharashtra, India

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Senior AI Engineer focused on generative AI and ML engineering for the Operational Intelligence Program within Mastercard's Business & Market Insights group.

Responsibilities

Architect and build the tool‑calling layer that powers our agents
Engineer reliable tool execution at scale, including parallel and chained tool calls, timeouts, retries, idempotency, error recovery, and graceful handling of tool failures or bad model outputs
Develop high‑performance Python backend services for LLM orchestration, covering async job handling, streaming responses, caching, rate limiting, and distributed workflows supporting high‑throughput Gen AI operations
Engineer state, memory, and context management subsystems so agents can maintain session continuity across long, multi‑step, tool‑heavy interactions
Architect multi‑agent and skills‑based agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar

Requirements

Bachelor's or Master's degree in Computer Science, AI/ML, or Engineering, or equivalent practical experience
Nice to have: Model Context Protocol (MCP)
Nice to have: tool servers and connectors for LLM agents
Nice to have: agent performance evaluation
Nice to have: fine‑tuning (LoRA, PEFT, RLHF)

Skills

Python async programming API development FastAPI microservices SQL LLM-powered application tool/function calling cloud platform (AWS)distributed services APIs data stores observability LangGraph CrewAI AutoGen

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Senior AI Engineer

Mastercard · Posted Oct 26, 2026

Open

Pune, Maharashtra, India
Senior

Apply with RefersoAI Apply on careers page

Design, build, and ship production-grade agentic AI systems for Mastercard’s Business & Market Insights group.

Responsibilities

Architect and build the tool‑calling layer that powers our agents
Engineer reliable tool execution at scale
Develop high‑performance Python backend services for LLM orchestration
Engineer state, memory, and context management subsystems
Architect multi‑agent and skills‑based agent systems

Requirements

Bachelor's or Master's degree in Computer Science, AI/ML, or Engineering, or equivalent practical experience
Nice to have: Model Context Protocol (MCP)
Nice to have: tool servers and connectors for LLM agents
Nice to have: agent performance evaluation
Nice to have: fine‑tuning (LoRA, PEFT, RLHF)

Skills

Python async programming API development FastAPI SQL LLM-powered application