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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Reltio

    Bengaluru
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Agentic AI systems
    LangChain
    LlamaIndex
    RAG
    Python
    LangGraph
    Crew AI
    AutoGen
    Apache Spark
    MLlib
    PyTorch
    TensorFlow
    MLFlow
    NumPy

    Description

    At Reltio, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale.

    Company: Reltio

    Role: Senior AI Engineer

    Location: Bangalore

    Experience:

    • 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

    Key Skills:

    • Python
    • Java
    • Flutter
    • React-native
    • Large Language Models (LLMs)
    • Agentic AI systems
    • LangGraph
    • Crew AI
    • AutoGen
    • Spark
    • MLlib
    • PyTorch
    • TensorFlow
    • MLFlow

    Qualification:

    • Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow)
    • Experience with large-scale data processing tools (Spark, Kafka, Airflow)
    • Solid understanding of object-oriented design, data structures, and algorithms

    Role Focus:

    • 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
    • Integrate LLMs into backend pipelines to power autonomous or semi-autonomous decision-making
    • 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
    • Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents

    Additional responsibilities:

    • 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

    Nice to have:

    • 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

    Other:

    • 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
    • Comprehensive Group medical insurance
    • Accidental Insurance
    • Life insurance
    • Free online unlimited doctor consultations
    • An Employee Assistance Program (EAP)
    • 36 annual leaves
    • 26 weeks of maternity leave, 15 days of paternity leave
    • 01 week of additional off as recharge week every year globally
    • Home office setup allowance
    • Mobile & Internet Reimbursement
    • Free meal

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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