🏢 Pexcera
AI & Data Pipelines Engineer
💼 Fulltime
📍 Remote
⏰ Expired
🔗 Explore More
🛠 Skills Required
Python
FastAPI
asynchronous framework programming
data structures
algorithms
SQL/NoSQL databases
vector embeddings
RAG architectures
LLM APIs
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🎤 Interview Experience
The typical interview experience for AI & Data Pipelines Engineer at Pexcera includes a technical interview, followed by a technical interview with the team lead, and finally an HR interview. The interview questions are challenging, but the company provides a supportive environment for engineers to learn and grow. It's essential to have a solid understanding of data structures, algorithms, and Python programming to ace the interview.
🏢 Work Culture
Pexcera is a remote-first company that values flexibility and work-life balance. We believe in empowering our engineers to take ownership of their projects and contribute to the development of innovative AI and data pipeline solutions. We are committed to providing our engineers with the resources and support they need to succeed in their roles.
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📚 Free Study Materials (4)
Data Structures and Algorithms
This resource helps you learn the fundamentals of data structures and algorithms, which are essential for AI and data pipeline engineering.
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Company Interview Corner
This resource provides tips and tricks for acing company interviews, including those for AI and data pipeline engineering roles.
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Practice Problems for AI and Data Pipeline Engineering
This resource provides practice problems and exercises to help you improve your skills in AI and data pipeline engineering.
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LeetCode Problems for AI and Data Pipeline Engineering
This resource provides a wide range of LeetCode problems that are relevant to AI and data pipeline engineering.
Open Resource ↗
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✅ Eligibility Criteria
B.Tech/M.Tech in CS, Data Science, AI, or Quantitative discipline (2025/2026 graduate). Proficiency in Python and asynchronous framework programming (FastAPI / AsyncIO). Solid grasp of data structures, algorithms, and SQL/NoSQL databases. Familiarity with vector embeddings, RAG architectures, and LLM APIs. Demonstrated Python data project on GitHub.
🏆 Selection Process
Round 1: Technical Interview → Round 2: Technical Interview → Round 3: HR (based on company knowledge)
⛔
This job has expired
The application deadline was 22 Aug 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
📋 About the Role
Pexcera is a company that relies heavily on structured data pipelines and AI model inference to power personalized learning experiences. As an AI & Data Pipelines Engineer, you will bridge the gap between ML models and production web services. You will build automated ETL pipelines, manage vector database indexing (pgvector, Pinecone, Qdrant), optimize prompt routing algorithms, and maintain FastAPI microservices. This is an engineering role focused on data systems, low-latency API integration, and model deployment — ideal for freshers who love Python, data processing, and generative AI systems.
In this role, you will develop Python/FastAPI microservices to interface with AI models and embedding APIs. You will build and maintain data processing pipelines for structured educational content. You will manage vector database indices (pgvector, Qdrant) for semantic search and Retrieval-Augmented Generation (RAG). You will benchmark inference latency, token costs, and API throughput under concurrent load. You will collaborate with full-stack engineers to integrate AI endpoints into web applications.
As an AI & Data Pipelines Engineer at Pexcera, you will have the opportunity to work on cutting-edge AI and data pipeline projects. You will be part of a team that is passionate about using AI to improve education and learning experiences. You will have the chance to learn from experienced engineers and researchers and contribute to the development of innovative AI and data pipeline solutions.
Pexcera is a remote-first company that values flexibility and work-life balance. You will have the opportunity to work from anywhere and have a flexible schedule. You will also have access to a comprehensive benefits package, including health insurance, a workstation budget, and a GPU cloud allowance for personal AI research.
If you are a fresh graduate with a passion for AI, data processing, and Python, this role is an excellent opportunity to start your career in AI and data pipelines engineering. You will have the chance to learn from experienced engineers and researchers and contribute to the development of innovative AI and data pipeline solutions.
In this role, you will have the opportunity to work on a wide range of projects, from building automated ETL pipelines to managing vector database indices. You will have the chance to collaborate with full-stack engineers to integrate AI endpoints into web applications. You will also have the opportunity to learn from experienced engineers and researchers and contribute to the development of innovative AI and data pipeline solutions.
Pexcera is a company that values innovation, creativity, and collaboration. We believe in empowering our engineers to take ownership of their projects and contribute to the development of innovative AI and data pipeline solutions. We are committed to providing our engineers with the resources and support they need to succeed in their roles.
If you are a fresh graduate with a passion for AI, data processing, and Python, this role is an excellent opportunity to start your career in AI and data pipelines engineering. You will have the chance to learn from experienced engineers and researchers and contribute to the development of innovative AI and data pipeline solutions. You will also have the opportunity to work on cutting-edge AI and data pipeline projects and collaborate with full-stack engineers to integrate AI endpoints into web applications.
⛔
This job has expired
The application deadline was 22 Aug 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
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📋 Quick Info
JOB ID
C2320-J019
POSTED
14 Aug 2026
TYPE
Fulltime
BATCH
All Batches
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