Senior Software Engineer II - AI Platforms

MX Build Technologies; Chennai District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

MX Build Technologies is seeking an experienced software engineer to drive backend development at scale, focusing on distributed systems and AI-enabled platforms. You will work with Golang, Java, and Python to design robust APIs and microservices, while ensuring reliable operations in production.

The role emphasizes hands-on development, integration of LLMs and Agentic AI systems, and strong debugging abilities to keep systems healthy and efficient in a cloud-native environment.

Qualifications

• 8+ years of experience in software engineering, backend development, or platform engineering.
• Experience working with LLMs and Agentic AI systems, including Context engineering, Harness engineering, evaluation, or model integration.
• Strong programming experience in languages such as Golang, Java, or Python.
• Experience building and operating distributed systems and scalable backend services.
• Experience designing and consuming APIs, microservices, and event-driven architectures.
• Familiarity with CI/CD pipelines, testing frameworks, and developer tooling.
• Strong debugging and problem-solving skills in production environments.

Skills

LLMs & Agentic AI systems

Context engineering

Harness engineering

Backend development

Distributed systems

APIs & microservices

CI/CD pipelines

Debugging

Problem-solving

Tools

Golang

Java

Python

Kubernetes

AWS

Job description

Basic Qualifications

• 8+ years of experience in software engineering, backend development, or platform engineering.


• Experience working with LLMs and Agentic AI systems, including Context engineering, Harness engineering, evaluation, or model integration.


• Strong programming experience in languages such as Golang, Java, or Python.


• Experience building and operating distributed systems and scalable backend services.


• Experience designing and consuming APIs, microservices, and event-driven architectures.


• Familiarity with CI/CD pipelines, testing frameworks, and developer tooling.


• Strong debugging and problem-solving skills in production environments.

Preferred Qualifications

• Experience building or integrating LLM Gateways, AI SDKs, or internal AI platforms.


• Familiarity with agent frameworks (e.g., ADK, LangGraph, LangChain, or similar orchestration systems).


• Experience designing multi-step workflows or automation systems using AI.


• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) systems.


• Experience with observability for AI systems, including prompt/version tracking and evaluation pipelines.


• Understanding of cost optimization strategies for large-scale AI workloads.


• Experience building developer platforms or internal tools that improve engineering productivity.


• Exposure to SRE practices, including reliability, SLIs/SLOs, and incident response.


• Hands-on experience with cloud platforms (AWS preferred) and containerized environments (Kubernetes)