Sr AI Engineer

Xpheno; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Xpheno in Bengaluru seeks an experienced AI/ML engineer to own architecture and delivery of enterprise GenAI systems, integrating LLMs, multi-agent workflows, and embedding-powered retrieval solutions. You will guide engineering pods, define standards, and drive scalable, production-ready intelligent applications.

You will architect GenAI systems, design autonomous agent workflows, optimize performance and latency, and mentor engineers on reliability and prompt lifecycle management, ensuring

Qualifications

• 4–8+ years in AI/ML engineering with focus on GenAI applications.
• Strong knowledge of modern GenAI tooling and architectures.
• Proficient in Python and cloud-native delivery pipelines.

Responsibilities

• Architect GenAI systems using LLM APIs and embedding pipelines at scale.
• Design autonomous agent workflows with context management and multi-agent coordination.
• Lead reviews, enforce governance, and ensure security alignment.
• Collaborate with product and platform teams to define reusable AI patterns.
• Mentor engineers on design principles, reliability, and prompt lifecycle management.

Job description

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
• Strong expertise in Databricks (Delta Lake, Spark SQL, PySpark) and Snowflake for
• 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