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The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

About us

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

About the Role

We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building or supporting Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI integration, requiring not just system design skills, but also creativity in prompt engineering and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade automation and decision-making systems.

Key Responsibilities

• Develop robust, scalable Java-based backend systems that enable the orchestration of Agentic AI workflows.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Work closely with AI/ML teams to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 4+ years of experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• Practical knowledge of Python, particularly for scripting, API consumption, or integration with AI frameworks.
• Exposure to Agentic AI systems using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Prior involvement in developing LLM-powered agents, copilots, or task bots is a strong plus.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.
• Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?

• Support for home office setup:Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal

Health & Wellness:

• Comprehensive Group medical insurance including your parents with additional top-up options.Accidental Insurance
• Life insurance
• Free online unlimited doctor consultations
• An Employee Assistance Program (EAP)

Work-Life Balance

• 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
• 26 weeks of maternity leave, 15 days of paternity leave
• Very unique to Reltio - 01 week of additional off as recharge week every year globally

Qualifications:

• A Bachelor’s degree in Computer Science (or equivalent experience)
• M-Tech or advanced degree a plus
• Hackathon participation and accolades are a plus

Job Role:

• 4+ years of object-oriented Java / J2EE development
•  Full SDLC experience (requirements gathering, architecture, development, QA, etc)…
•  Experience with Spring (MVC, IOP/DI, REST, Security) & Hibernate/Spring
•  Experience with SOAP / REST web services
•  Knowledge of SQL
•  Knowledge of No SQL concepts, understanding of Solr, Redis and Mongo DB is desirable
•  Must have worked on any one messaging solutions
•  Bonus Points for micro service design and development experience
•  Bonus points for any mobile development experience
•  Used Agile methodology
•  Bonus Points for experience working on Unix, shell scripting & Build Systems
•  Experience in performance optimization is an added advantage

• Build efficient, testable, and reusable PHP modules
• Write all clean object-oriented PHP as well as efficient SQL
• Integrate features and improvements that can support our large-and-growing SAAS product.
• Take initiative and contribute to technical solutions, R&D.
• Contribute to internal tools/processes that help us manage the product and QA cycle
• Perform Unit testing.
• Opportunity to learn and work on interesting solutions like Application Scaling, Microservices, Batch Processing, Javascript frameworks like ReactJS.
• Keep abreast of new trends and best practices in web development
• Adhere to milestones assigned

Skills:

• Must require solid programming proficiency with Core PHP.
• Strong knowledge of OOPS and how to apply it in application code is a must.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Familiarity with SQL databases and their declarative query languages.
• Exposure to designing and building APIs (REST/HTTP/Soap) is highly preferred.
• Understanding the fully synchronous behavior of PHP
• Experience with any MVC framework is an added advantage.
• Proficient understanding of software testing
• Understanding of code versioning tools, such as Bitbucket, Git is an advantage
• Understanding of product development environments and methodologies like Agile highly preferred
• Good problem-solving skills.

Desired Profile:

• Minimum 1.5 years of experience developing web applications and understanding modern PHP standards.
• The candidate should be willing to work with a startup/mid-size company.
• The candidate must love to code and must possess a thorough knowledge of web technologies.
• Motivated and ambitious to learn new technologies, grow as a leader in quick time.
• Good communication skills - must be able to explain work and provide answers in English

• Key expertise areas: Client Server realtime communication, MYSQL-POSTGRES database
• Web protocols like: HTTP, MQTT and Web Sockets, Deadlock detection and locking techniques for mutual exclusion, hyper thread and multi threading server model
• Cloud based application management and interfacing it with 3rd party services, Payment gateways and REST APIs.
• Candidates with experience in Golang will be preferred
• Working experience in a Product StartUp (Internet/E-commerce) building scalable applications.
• Hands on experience in system architecture and gaming apps
• Good spoken and written communication skills.
• Good team player.
• Sharp analytical abilities with proven design skills
• Able to think critically of the current system in terms of software development
• Expertise in Golang, AWS cloud computing, Frontend languages like HTML, CSS, Javascript