Applied AI Engineer

SP Software; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SP Software in Bengaluru is seeking an experienced Applied AI Engineer (Senior Principal) to design, develop, and deploy production-ready AI agents and intelligent workflows that automate security processes. You will lead stack-level AI solutions and collaborate with security teams to translate manual tasks into scalable AI-native workflows.

The role requires deep hands-on experience building agentic AI systems, strong Python and TypeScript/JavaScript skills, and a solid understanding of LLMs,

Qualifications

• 12+ years of software engineering experience with production system ownership.
• Proficient in Python and TypeScript/JavaScript, Go, or equivalent.
• Hands-on experience building and deploying agentic AI systems in production.
• Deep knowledge of LLMs, RAG, agent frameworks, tool calling, MCP.

Responsibilities

• Design and develop AI agents, tool calling, agent orchestration, and state management.
• Implement LLM-based solutions using RAG, retrieval, context engineering, memory, and structured outputs.
• Build integrations with enterprise systems using REST/GraphQL APIs, MCP servers, and event-driven architectures.
• Develop automated tests, evaluation frameworks, and regression suites to ensure reliable AI behavior.
• Optimize AI applications for latency, token consumption, cost, and scalability.
• Implement monitoring, logging, distributed tracing, and production troubleshooting.
• Secure AI systems against prompt injection, tool misuse, and unintended data exposure.
• Collaborate with security teams to redesign manual processes into scalable AI-native workflows.

Skills

Production system ownership

Python

TypeScript/JavaScript or Go

Agentic AI systems in production

LLMs, RAG, agent frameworks, tool call

APIs, CI/CD, testing, observability

AI security & enterprise integrations

Tools

MCP servers

Job description

Job Title: Applied AI Engineer (Senior Principal Engineer)

Job Summary:

We are looking for an experienced Applied AI Engineer to design, develop, and deploy production-ready AI agents and intelligent workflows that automate enterprise security processes. The ideal candidate should have strong software engineering expertise and hands‑on experience building and maintaining agentic AI systems in production.

Key Responsibilities:

• Design and develop AI agents, tool calling, agent orchestration, and state management.


• Implement LLM-based solutions using RAG, retrieval, context engineering, memory, and structured outputs.


• Build integrations with enterprise systems using REST/GraphQL APIs, MCP servers, and event-driven architectures.


• Develop automated tests, evaluation frameworks, and regression suites to ensure reliable AI behavior.


• Optimize AI applications for latency, token consumption, cost, and scalability.


• Implement monitoring, logging, distributed tracing, and production troubleshooting.


• Secure AI systems against prompt injection, tool misuse, and unintended data exposure.


• Collaborate with security teams to redesign manual processes into scalable AI-native workflows.

Required Skills:

• 12+ years of software engineering experience with production system ownership.


• Strong Python programming and proficiency in TypeScript/JavaScript, Go, or an equivalent language.


• Hands‑on experience building and deploying agentic AI systems in production.


• Strong knowledge of LLMs, RAG, agent frameworks, tool calling, and MCP.


• Experience with APIs, CI/CD, automated testing, observability, and containerized deployments.


• Understanding of AI security, failure handling, and enterprise integrations.