Software Development Engineer

Sunrise Biztech Systems

Hyderabad

On-site

INR 600,000 - 1,200,000

Full time

14 days+
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Job summary

Sunrise Biztech Systems Pvt. Ltd. in Hyderabad is hiring a Software Development Engineer with 1-5 years of experience for a 12-month contract. The role focuses on designing and building autonomous AI agents for test automation, ML model deployment, and AI workflows.

You will work with Python, integrate ML models with Snowflake and MySQL, and develop APIs using FastAPI or Flask while following MLOps practices to monitor models and improve testing efficiency.

Qualifications

  • 1–5 years of software development experience.
  • Experience with Python is a plus.
  • Familiarity with ML concepts and AI workflows is desirable.

Responsibilities

  • Design and develop autonomous AI agents and multi-agent workflows for test automation, infrastructure tasks, and failure triage.
  • Build, train, and deploy ML models for anomaly detection, predictive analytics, and test optimization.
  • Develop scalable tools integrating LLMs, RAG pipelines, and AI workflows into engineering systems.
  • Integrate AI solutions with data platforms and databases such as Snowflake and MySQL.
  • Develop production-quality software primarily using Python.
  • Build APIs and services to deploy AI/ML models using frameworks such as FastAPI or Flask.
  • Implement MLOps practices for model deployment, monitoring, and lifecycle management.

Skills

Machine Learning
Python
MLOps

Tools

Snowflake
MySQL
FastAPI
Flask
LLMs
RAG pipelines

Job description

Urgent Hiring!!

Greetings from Sunrise Biztech Systems Pvt. Ltd.

We are hiring for one of our reputed clients for the following position. If you're interested and your experience matches the requirement, we'd love to hear from you.

Position: Software development Engineer

Experience: 1-5 Years

Location: Hyderabad

Contract 12 Months

Roles & Responsibilities

  • Design and develop autonomous AI agents and multi-agent workflows for test automation, infrastructure tasks, and failure triage.
  • Build, train, and deploy Machine Learning models for anomaly detection, predictive analytics, and test optimization.
  • Develop scalable tools integrating LLMs, RAG pipelines, and AI workflows into engineering systems.
  • Integrate AI solutions with data platforms and databases such as Snowflake and MySQL.
  • Develop production-quality software primarily using Python.
  • Build APIs and services to deploy AI/ML models using frameworks such as FastAPI or Flask.
  • Implement MLOps practices for model deployment, monitoring, and lifecycle management.
  • Collaborate with engineering teams to integrate AI solutions and improve testing efficiency.
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