About Quadratyx We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics.

Quadratyx can boast of more extensive experience in data sciences & analytics than most other companies in India. We firmly believe in Excellence Everywhere. Senior AI ML/ Gen AI Engineer Job / Role Information Designation Senior Data Engineer – Big Data & GenAI Function Technical Location: Hyderabad, Chennai Purpose of the Job/ Role: We are looking for a highly skilled and hands-on Data Engineer with strong expertise in Big Data technologies, distributed data processing, and backend engineering.

The ideal candidate should have practical experience in building scalable batch and real-time data pipelines using frameworks such as PySpark, Kafka, and streaming platforms.

The candidate should also possess strong Python programming skills and experience building APIs/microservices using modern backend frameworks.

This role is best suited for engineers who enjoy solving large-scale data engineering problems and working closely with AI/GenAI-driven applications.

We are specifically looking for candidates with strong hands-on coding and distributed systems experience, and not candidates whose experience is predominantly limited to traditional ETL tools, low-code cloud pipelines, or Snowflake-centric workflows.

Key Requisites

Design, develop, and optimize scalable batch and streaming data pipelines

Build large-scale distributed data processing systems using PySpark

Develop real-time streaming solutions using Kafka and/or Apache Flink





Build and maintain APIs and backend services using Python-based microservice frameworks

Work with structured and semi-structured datasets across multiple storage systems

Optimize pipeline performance, scalability, and fault tolerance

Collaborate with AI/ML and GenAI teams to support LLM and RAG-based applications

Participate in architecture discussions, debugging, code reviews, and production deployments

Ensure reliability, monitoring, and maintainability of data engineering systems Mandatory Skills Strong hands-on experience with PySpark and distributed data processing (must-have)

Strong programming expertise in Python

Hands-on experience building APIs and backend services using:

Flask

FastAPI or similar microservice frameworks

Good understanding of Big Data ecosystem and streaming architectures Experience With Apache Kafka

Apache Flink (preferred)

PostgreSQL

Experience building end-to-end batch and real-time data engineering pipelines

Good understanding of scalable system design, partitioning, optimization, and distributed processing concepts

Understanding of microservices architecture and API integrations

Experience working in Linux-based environments

Strong analytical and problem-solving skills GenAI / AI Engineering Expectations Candidates should also have practical exposure to contemporary GenAI concepts and tools, including: Strong analytical and problem-solving skills

Working knowledge of LLMs and prompt engineering

Understanding of RAG (Retrieval-Augmented Generation)



concepts Experience Using GenAI Frameworks/tools Such As LangChain

LlamaIndex (good to have)

Exposure to vector databases, embeddings, or AI-assisted workflows is a plus Good to Have / Bonus Skills Experience with QuestDB

Exposure to real-time analytics and streaming systems

Understanding of distributed systems internals

Experience with Docker/containerization and deployment workflows

Familiarity with monitoring and logging frameworks

Knowledge of cloud platforms is an added advantage Important Note This role is focused on core data engineering, distributed systems, and backend engineering.

Candidates With Predominantly

Snowflake-only experience

Low-code ETL pipeline development

Pure cloud ETL orchestration backgrounds may not be the right fit for this requirement unless they also possess strong hands-on Big Data engineering and programming experience.

Working Relationships

Reporting to Vice President External Stakeholders Clients Preferred Candidate Profile Strong ownership mindset and problem-solving ability

Minimum 5-8 years of work experience as a Data Manager in an IT organization (preferably Analytics / Big Data/ Data Science / AI background).

Comfortable working independently on complex engineering problems

Ability to work in fast-paced product/research-oriented environments

Passion for learning modern AI and data technologies

Good communication and collaboration skills Quadratyx is an equal opportunity employer - we will never differentiate candidates on the basis of religion, caste, gender, language, disabilities or ethnic group. Quadratyx reserves the right to place/move any candidate to any company location, partner location or customer location globally, in the best interest of Quadratyx business. Interested candidate profiles should be emailed to [email protected]

📌 Senior AI ML/ Gen AI Engineer (Chennai)
🏢 quadratyx
📍 Chennai