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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.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development 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 agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Hands on experience with mobile front-end Flutter, React-native etc.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders 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.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience mobile front-end Flutter, React-native etc
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- 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.
- Experience in developing LLM-powered agents, copilots, or task bots.
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?*
- 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
- 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.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
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.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development 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 agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders 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.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- 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.
- Experience in developing LLM-powered agents, copilots, or task bots.
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?*
- 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
- 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.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Job Title: Senior Engineer
Location: Bengaluru, India - (Hybrid)
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.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Engineer plays senior role in a team is technically responsible for particular feature delivery which consists of:
- Presenting a solution to Architects
- Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers
- Work with QA to review testing approaches, provide all details needed for testing, and review test plans
- Be responsible for all internal feature documentation
Job Duties and Responsibilities:
- Deliver features with high quality, and be customer-focused.
- Champion engineering excellence, raise the bar on code coverage, coding guidelines, and review processes.
- Provide technical leadership and mentor junior team members.
- Deal with ambiguity in complex problems, show bias for action.
- Work closely with architects to actively shape the architecture of your work area and the broader product.
- Work closely with PM, QA & Doc teams to ensure a thorough testing strategy, robust deployment, and lucid documentation of features.
- Effective communication with cross-functional teams and global stakeholders.
Skills You Must Have:
- An engineering degree in the computer science field
- Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
- 5+ years of experience in the design and development of products for enterprise customers.
- 4+ years of experience in building large-scale distributed data systems in Java and cloud technologies.
- Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction.
- Experience in leading projects with a crew of engineers, providing technical mentorship.
- Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases
Skills That Are Nice to Have:
- Experience working with NoSQL databases like Cassandra, and queue services like SQS
- Experience in cloud security principles
- Experience with Kubernetes
- Experience with big data technologies
- Experience in driving customer focus for SaaS products is a big plus
Why Join Reltio?*
- 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
- 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.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
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.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We seek a hands-on AI Engineering Manager to lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products. You'll guide a team of Data Scientists, ML Engineers, UI/Integration Engineers, and Quality Engineers—owning technical design, end-to-end execution, and delivery of agentic systems. This role blends engineering management with deep data science expertise, modern AI tooling, and agent orchestration. Drive the design, implementation, and production deployment of AI-native capabilities integrated with Reltio’s cloud-native data platform.
Key Responsibilities
- Deliver hands-on engineering management for an AI team of Data Scientists, ML Engineers, UI/Integration Engineers, and ML SDETs.
- Provide technical leadership, mentoring, and project oversight—scoping ML initiatives, allocating resources, and driving prototype → MVP → production with minimal handoffs.
- Own agentic AI systems that plan, reason, use tools/APIs, maintain memory/context, self-correct, and execute multi-step workflows autonomously.
- Design, implement, and productionize end-to-end RAG pipelines, balancing chunking, embeddings, indexing, latency, and cost.
- Lead foundation model pipelines for embedding generation, prompt engineering, and LLM-driven decisioning.
- Collaborate with Product, Engineering, and stakeholders to integrate agentic workflows using LangChain, Semantic Kernel, or custom orchestrators.
- Build/refine LLM/ML models for entity resolution, semantic search, matching, and data unification; identify automation opportunities for scalability.
- Design A/B experiments to evaluate agent responses, grounding, and quality; evolve memory architectures, vector search, and context management.
- Partner on integrations with enterprise APIs, backend systems, and cloud ML infra (e.g., AWS Bedrock).
Must have skill sets:
- Proven track record leading and motivating high-performing AI/ML teams in ambiguous, fast-paced environments.
- Deep hands-on experience building and productionizing agentic/multi-step AI workflows.
- Expertise in LLMs, RAG/retrieval architectures, foundation models (embeddings, transformers), vector search, semantic similarity, and prompt engineering.
- Strong product intuition: Translate business problems into scoped ML/LLM solutions with measurable user impact.
- Ownership of production ML code in Python, including cloud deployments (AWS Bedrock, SageMaker, Azure AI Studio).
- Experience with graph memory, MCP protocol (or equivalent), and knowledge reasoning engines.
Nice to have:
Hands-on experience with data governance, security best practices, MLOps and LLM observability.Track record contributing to enterprise-scale SaaS or AI/ML products.Familiarity with Kubernetes, containerized deployment, and scalable APIs.
Why Join Reltio?*
- 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
- 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.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio