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    Home/Jobs/Senior Software Development Engineer (GenAI Engineer)

    Senior Software Development Engineer (GenAI Engineer)

    Diebold Nixdorf

    Mumbai
    4-8 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Hugging Face Transformers
    LangChain
    Gen AI
    Agentic AI
    Python
    TensorFlow
    PyTorch
    Scikit-learn
    Keras
    Machine Learning
    Deep Learning
    NLP
    MLOps
    LangGraph
    CrewAI

    Description

    The Senior Software Engineer role is an individual contributor position within the software product development organization, responsible for understanding requirements thoroughly, identifying and bridging gaps, and designing, implementing, and testing end‑to‑end AI-driven solutions.

    Company: Diebold Nixdorf

    Role: Senior Software Development Engineer (AI/ML and GenAI Engineer)

    Location: Mumbai, Maharashtra, India

    Experience:

    • 4.5–8 years of experience in software engineering, with at least 4+ years focused on AI/ML development, including hands‑on exposure to generative AI, LLM-based systems, and agentic AI architectures

    Key Skills:

    • Python
    • TensorFlow
    • PyTorch
    • scikit‑learn
    • Keras
    • Hugging Face Transformers
    • LangChain
    • LangGraph/CrewAI/Autogen
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Generative AI
    • Agentic AI
    • Pandas
    • NumPy
    • SQL

    Qualification:

    • Full‑time Bachelor’s and/or Master’s degree in Engineering with a minimum of 60% grade

    Role Focus:

    • End‑to‑End AI Solution Development: Architect, implement, and optimize AI/ML models for NLP, computer vision, predictive analytics, generative AI, and agentic AI workflows
    • Build robust, scalable pipelines for data ingestion, model training, evaluation, and inference, following best practices in MLOps and AI lifecycle management
    • Deploy models to production environments (cloud/on-prem), ensure performance, reliability, security and compliance
    • Mentor junior engineers, review code, and contribute to architectural decisions
    • Work closely with product managers, data scientists, and DevOps teams to integrate AI into business applications
    • Stay updated with emerging AI technologies and frameworks; evaluate and implement new approaches

    Additional responsibilities:

    • Ensures timely delivery and excellent quality of the deliverables for the product
    • Working on low latency high performance systems
    • Able to work in agile software development environment
    • Acts as subject matter expert for the domain, processes, methodology and able to adapt latest technologies, frameworks and tools quickly

    Nice to have:

    • Experience in delivering scalable, high‑performance AI services and applications with excellent quality across cloud or on‑prem environments
    • Experience with Large Language Models (LLMs), prompt engineering, retrieval‑augmented generation (RAG), and developing agentic AI workflows using frameworks such as LangChain, LangGraph/Crew AI/AutoGen
    • Familiarity with computer vision, NLP, generative AI frameworks, and multimodal model development
    • Exposure to MLOps tools and optimization technologies such as MLflow, Triton, ONNX, TensorRT, model quantization, GPU acceleration, or distributed inference
    • Familiarity with cloud‑native deployments on AWS, GCP, or Azure, including experience integrating AI/ML and LLM systems into secure enterprise environments

    Other:

    • Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
    • The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce.

    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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