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Software Engineer - Generative AI

Kadel Labs
Udaipur
1 - 2 Years

Posted on: 19/02/2026

Job Description

Job Description :

Role Overview :


We are seeking a skilled Generative AI Software Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs). The role focuses on building scalable Generative AI solutions, implementing Retrieval-Augmented Generation (RAG) pipelines, and developing AI agents for real-world applications. You will work closely with product managers, engineers, and AI researchers to deliver innovative and production-ready AI solutions.

Key Responsibilities :

- Design and develop Generative AI applications using LLM APIs, LangChain, and related frameworks.

- Build and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.

- Develop AI agents using frameworks such as LangGraph, Crew AI, or similar tools.

- Integrate AI capabilities into existing systems through REST APIs and backend services.

- Research and adopt emerging GenAI technologies and apply them to product development.

- Deploy and optimize AI applications on cloud environments ensuring scalability and performance.

- Collaborate with cross-functional teams to translate business requirements into AI solutions.

Required Qualifications & Skills :


- Bachelors or masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field.

- Strong programming skills in Python.

- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Keras.

- Solid understanding of Transformer architectures, NLP techniques, and LLM-based systems.

- Experience working with vector databases (e.g., ChromaDB or similar).

- Strong understanding of data structures, algorithms, and REST API development.

- Experience building scalable software applications.


Core Competencies :


- Strong analytical and problem-solving skills.

- Ability to translate research concepts into practical solutions.

- System design and engineering mindset.

- Effective collaboration and communication skills.

- Continuous learning attitude in a fast-evolving AI environment.

Preferred Qualifications :


- Experience building production-grade RAG or AI agent systems.

- Exposure to cloud platforms (AWS, Azure, or GCP).

- Experience with Docker, containerization, and deployment workflows.

- Familiarity with MLOps or AI deployment pipelines.

- Experience in prompt engineering or model optimization.


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