Software Engineer

Entry-Level Software Engineer GenAI

Experience: 0–1Years
Employment Type: Full-Time
Location: Greater Noida West / Noida

About the Role

We are looking for a highly motivated Entry-Level Software Engineer with strong fundamentals in Mathematics, Computer Science, Programming, and Analytical Problem-Solving.

The candidate should have a strong foundation in OOP, Data Structures & Algorithms, along with hands-on understanding of Generative AI, LLMs, LangChain, and LangGraph.

Key Requirements

Computer Science & Programming

• Strong mathematical and analytical problem-solving skills.
• Strong understanding of Object-Oriented Programming (OOP).
• Strong knowledge of Data Structures & Algorithms.
• Strong programming skills in at least one language.
• JavaScript/TypeScript or C#/.NET preferred.
• Good understanding of programming fundamentals and complexity.

Generative AI

• Strong understanding of Generative AI and LLM concepts.

• Working knowledge of:

• Prompt Engineering

• Embeddings & Vector Databases

• RAG

• AI Agents

• Tool / Function Calling

• LLM context and memory

• Medium-level knowledge of LangChain and LangGraph.

• Hands-on AI/LLM project experience is highly desirable.

Strong Plus

ML / Deep Learning

• Experience with any ML or Deep Learning project.
• Candidates who can demonstrate and explain their project, architecture, algorithms, and results will have a strong advantage.
• Exposure to NLP, Computer Vision, Neural Networks, Transformers, or LLM applications is a plus.

Lending / FinTech

• Knowledge of Lending, Banking, NBFC, or FinTech is an advantage.
• Exposure to Loan Origination, Credit Assessment, KYC, CIBIL, EMI calculations, or Risk Assessment is a plus.

What We Look For

• Strong logical and analytical thinking.
• Excellent problem-solving and coding skills.
• Strong CS fundamentals rather than only framework knowledge.
• Ability to learn new technologies quickly.
• Curiosity and interest in AI and emerging technologies.
• Ability to understand and explain technical decisions.
• Personal projects, GitHub repositories, hackathon projects, or AI/ML work are highly encouraged.

Education

Bachelor's/Master's degree in Computer Science, IT, Engineering, Mathematics, Data Science, AI, or a related field.

Assessment Areas

Candidates may be evaluated on:

Mathematics & Analytical Reasoning | DSA | OOP | Programming | Problem Solving | GenAI/LLMs | LangChain/LangGraph | ML/DL Projects

This is an opportunity to work on real-world software and AI systems while building strong engineering fundamentals early in your career.