Data Science Engineer 4

Job Summary

The Data Science Engineer 4 will play a crucial role in developing and deploying advanced AI applications, particularly those leveraging Generative AI (GenAI) technologies. This position requires a strong understanding of various frameworks and architectures, as well as the ability to collaborate effectively within a team to drive innovation and overcome challenges.

Responsibilities

• Develop and implement LLM-based systems utilizing multiple Large Language Models (LLMs).
• Design and maintain services and microservices architecture, ensuring scalability and performance.
• Utilize GPT APIs and libraries, including LangChain, to enhance application functionality.
• Apply various prompt engineering patterns and Retrieval-Augmented Generation (RAG) techniques in application development.
• Create Agentic applications using frameworks such as LangGraph, CrewAI, and OpenAI’s Swarm.
• Collaborate with cross-functional teams to take GenAI-based applications from concept to production.

Qualifications

• Educational Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong understanding of Vector Databases and their applications.
• Hands-on experience with microservices frameworks such as FastAPI, Quarkus, Spring Boot, or similar.
• In-depth knowledge of design principles and patterns relevant to software development.
• Excellent communication and collaboration skills to work effectively in a team environment.
• Strong problem-solving and analytical skills with a proactive approach to challenges.
• Passion for learning and staying updated with the latest advancements in Generative AI technologies.

Preferred Skills

• Familiarity with additional frameworks and tools in the GenAI space.
• Experience in deploying applications in cloud environments.

Experience

• Minimum of 5 years of relevant experience in data science, software engineering, or a related field, with a focus on Generative AI applications.

Environment

• Work Location: Bangalore
• Work Type: Full-time
• Work Mode: In-office

Salary

• Estimated Salary Range: ₹3,400,000 per annum.