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Weekday AI (YC W21)
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Data Engineer

Data Engineer

Weekday AI (YC W21)

9 years

15 - 35 Lacs

india

Posted:1 day ago| Platform:

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Skills Required

data learning ai design deployment scaling retrieval compliance scalability strategies logic evaluation content animation orchestration ml scheduling automation relational risk checks model efficiency contracts documentation monitoring support stability engineering python sql tensorflow governance

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 3500000 (ie INR 15-35 LPA)

Min Experience: 9 yearsJobType: full-timeThis role is suited for a highly experienced Machine Learning / AI Engineer who will lead the design, deployment, and scaling of advanced AI systems with a strong focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You will work end-to-end on building production-grade AI pipelines, integrating models into real-world applications, and ensuring performance, compliance, and scalability across platforms. The position demands both deep technical expertise and the ability to independently own complex AI initiatives from concept through launch and ongoing optimization.

Requirements

Key Responsibilities

Design, build, and deploy scalable machine learning and AI solutions with a focus on LLM-based applications
Develop and productionize RAG pipelines, including chunking strategies, embeddings, vector stores, retrieval logic, and evaluation mechanisms
Build and manage data ingestion, validation, and transformation pipelines for structured and unstructured data
Create and maintain AI-driven content generation workflows using LLMs and image/animation models
Implement orchestration pipelines for ML workflows using scheduling and automation tools
Integrate AI and ML services into backend systems using modern APIs and ensure seamless interaction with frontend applications
Work with relational and vector databases to manage embeddings, metadata, and data catalogs
Develop automated quality, compliance, and risk-mitigation checks for AI-generated content
Optimize model performance, infrastructure usage, and cost efficiency in cloud-based environments
Collaborate closely with frontend engineers to define APIs and data contracts for AI-powered user experiences
Maintain documentation, monitoring, and best practices to support long-term system stability and scalability

What Makes You a Great Fit

8+ years of experience in machine learning or AI engineering, with strong hands-on exposure to LLMs and model deployment
Proficiency in Python, SQL, cloud platforms, and modern ML frameworks such as TensorFlow and PyTorch
Strong experience building scalable ML pipelines, RAG systems, and orchestration workflows
Solid understanding of data engineering concepts, including data validation, schema enforcement, and transformation pipelines
Experience integrating AI services into backend systems and working alongside frontend frameworks such as React
Familiarity with relational, vector, and metadata-driven databases
Practical experience in NLP, prompt engineering, embeddings, and semantic evaluation techniques
Awareness of AI compliance, content safety, and governance considerations
Ability to independently execute complex projects and maintain live production systems
Strong problem-solving mindset, ownership attitude, and ability to collaborate across engineering and product teams

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Data Engineer