Job Overview
Role: Associate Software Engineer (Req #2541) Location: Bengaluru Experience: Fresh Graduates Qualification: Bachelor's / Master's Degree Key Skills: Python, ML Frameworks (TensorFlow, PyTorch), Data Structures, Algorithms, LLMs
Job Description
As an Associate Engineer on Magnit's AI/ML team, you will participate in the building of next-generation platforms powered by GenAI, Large Language Models (LLMs), and agentic workflows to automate business processes across domains. Responsibilities include developing and robustly testing AI/ML workflows alongside senior engineering leads, collaborating to integrate AI models with external tools via seamless APIs, and working intimately with LLMs like OpenAI, Claude, and Gemini. You will actively support prompt engineering and Retrieval-Augmented Generation (RAG) methodologies, participate in architecting document processing pipelines utilizing Optical Character Recognition (OCR) and machine learning validation parameters, and support the creation of backend microservices and APIs specifically for AI-driven enterprise applications.
Roles and Responsibilities
- Workflow Automation: Develop and robustly test AI/ML workflows alongside senior engineering leads.
- Model Integration: Collaborate internally to integrate AI models with external tools via seamless APIs.
- LLM Operations: Work intimately with LLMs like OpenAI, Claude, and Gemini, actively supporting prompt engineering and Retrieval-Augmented Generation (RAG) methodologies.
- Data & Document Pipelines: Participate in architecting document processing pipelines utilizing Optical Character Recognition (OCR) and machine learning validation parameters.
- API Construction: Support the creation of backend microservices and APIs meant explicitly for AI-driven enterprise applications.
Skills and Eligibility Criteria
Educational Background: Specifically designed for fresh college graduates with an unyielding passion for Artificial Intelligence, Software Systems, and modern emerging technologies. Bachelor's / Master's Degree.
Experience: Freshers
Mandatory Technical Skills:
- A strong, highly demonstrable foundation in Python programming
- Baseline understanding of modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Solid command over standard data structures, algorithmic design, and complex problem-solving
Competencies:
- Bonus Skills: Exposure to Natural Language Processing (NLP) domains like text classification or summarization is highly beneficial. A willingness to learn major cloud deployment platforms (AWS, Azure, GCP) is expected.