Location: Bangalore (Hybrid)

ROLE SUMMARY

Engineer, you will own the architecture and delivery of enterprise-grade GenAI systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. You will guide engineering pods, define standards,

and drive innovation through scalable, production-ready intelligent applications.

Core Responsibilities
Architect GenAI systems using LLM APIs, agent orchestration frameworks, and embedding pipelines at scale
Design autonomous agent workflows with context management and multi-agent coordination
Optimize performance, latency, and accuracy through prompt strategies and retrieval layers
Lead solution reviews, enforce governance, and ensure alignment with security protocols




Collaborate with product and platform teams to define reusable patterns and scalable AI capabilities
Mentor engineers on design principles, reliability, and prompt lifecycle management

Required Skills
4–8+ years in AI/ML engineering with focus on GenAI applications
Robust expertise in Databricks (Delta Lake, Spark SQL, PySpark) and Snowflake for scalable data/AI solutions
Proficiency in Python (v3.11+), LLM APIs (OpenAI, LangChain, LangGraph)
Hands-on experience with containerization, CI/CD, and cloud-native delivery (Azure preferred)
Knowledge of agent orchestration, prompt optimization, and observability frameworks
Deep understanding of foundational LLM models and their utility

📌 Sr Ai Engineer Bengaluru
🏢 Xpheno
📍 Bengaluru