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

Job Description
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 modern 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 up-to-date 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