Careers at Lineate

Role Description This role is open to candidates who are permanently based in India. - Build and maintain modern web applications using React and JavaScript (ES6+) - Develop clean, responsive UIs with HTML5, CSS3 - Work with React-based architectures, and optionally UI5 or Web Components - Collaborate closely with design, product, and engineering teams to deliver high-quality features - Help translate UX and business needs into clear, implementable technical requirements - Write and maintain clear technical documentation and test reports - Support end-to-end testing and quality assurance processes - Track and help resolve production issues together with engineering teams - Explore and apply AI tools and technologies (LLMs, MCP servers, AI-assisted workflows) to improve delivery speed and efficiency Qualifications - 5+ years of experience in frontend development - Strong expertise in JavaScript, React, HTML5, CSS3 - Experience delivering production-grade frontend applications - Familiarity with UI5, Web Components, or similar frameworks is a plus - Interest in or exposure to AI/LLM technologies is a strong advantage - Strong analytical mindset and ability to simplify complex problems - Independent, proactive, and comfortable owning features end-to-end - Experience with structured testing and documentation practices Benefits - B2B contract with our US office Company Description Lineate is a US-based international software development company with over two decades of experience. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

Role Description Design, develop, and maintain scalable backend services using Java and Python. - Build and optimize data processing pipelines and APIs for high-performance applications. - Collaborate with cross-functional teams to deliver reliable and efficient solutions. - Improve system performance, scalability, and reliability. - Work with large datasets to support search, recommendation, or ML-driven features. - Contribute to architecture decisions and technical design. - Write clean, maintainable, and well-documented code. Qualifications - 6+ years of commercial software development experience. - Strong hands-on experience with both Java and Python (primarily PySpark code). - Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications. - Solid understanding of backend development principles and system design. - Experience working with APIs, microservices, and distributed systems. Requirements - Nice-to-have: - Databricks OR AWS EMR OR Hadoop. - Search technologies experience, such as: - Lexical search (e.g., Solr, Elasticsearch). - Semantic search, vector search, or RAG-based systems. - Search relevance tuning and optimization. - Machine Learning experience, especially in: - Recommendation systems. - User behavior prediction (e.g., click-through rate prediction, relevance estimation). - Practical ML application in production systems. Benefits - B2B contract with our US office. - NY working hours (at least 6 hours overlap).

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - B2B contract with our US office - NY working hours (at least 6 hours overlap) Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - Freedom to Develop - equal opportunity to learn and grow professionally - Clear career and professional path, strong performance management system - Social Benefits Package - Equipment - English lessons - Gym membership - All the advantages of working in an international IT company - Flexible vacation time - Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - Freedom to Develop - equal opportunity to learn and grow professionally - Clear career and professional path, strong performance management system - Social Benefits Package - Equipment - English lessons - Gym membership - All the advantages of working in an international IT company - Flexible vacation time - Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - B2B contract with our US office - NY working hours (at least 6 hours overlap) Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com