Salary
8-12 LPA
Batches
Freshers
Apply Route
100% Direct
About The Role
Join our team to build and integrate AI-powered features into backend applications and workflows. Collaborate with cross-functional teams to develop scalable data pipelines and workflows for AI-enabled applications.
Responsibilities
Assist in building and integrating AI-powered features into backend applications and workflows.
Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences.
Develop and maintain backend APIs, microservices, and integrations using modern development frameworks.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Support the development of scalable data pipelines and workflows for AI-enabled applications.
Participate in testing, debugging, monitoring, and improving production systems.
Contribute to technical documentation, API specifications, and architecture discussions.
Learn and apply best practices in software engineering, cloud development, and AI integration.
Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability.
Stay current with emerging AI/ML technologies, tools, and engineering practices.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field.
- Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development.
- Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of backend development concepts such as APIs, microservices, and databases.
- Familiarity with JavaScript/TypeScript or Node.js is considered an asset.
- Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects.
Eligibility Checklist
B.Tech/M.Tech/MCA, 2023-2025 passout.
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