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    Home/Jobs/GenAI Engineer

    GenAI Engineer

    Augury

    Bengaluru
    2-4 years
    Today
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    LLM
    RAG
    Agentic AI
    Gen AI
    Embeddings
    Python
    LangSmith
    REST
    gRPC
    API design
    Microservices
    CI/CD workflows
    distributed systems
    production system design

    Description

    Augury is a leader in Machine Health and Process Health solutions, using purpose-built AI technology to help companies realize the full potential of their production. The company is looking for a GenAI Engineer to work on combining AgenticAI with Industrial AI to solve real-world manufacturing challenges.

    Company: Augury

    Role: GenAI Engineer

    Location: Bengaluru, India

    Experience:

    • 2–4 years of experience spanning Data Science, Machine Learning, AI Engineering, or GenAI development
    • Hands-on experience building and deploying GenAI or AgenticAI applications in production environments

    Key Skills:

    • GenAI frameworks such as LangChain, CrewAI, AutoGen, LangGraph
    • LLM-based workflows including prompting, embeddings, RAG, tool calls, orchestration, and evaluation systems
    • Python for model development, backend services, deployment, and monitoring
    • REST and/or gRPC for building scalable APIs and microservices
    • Distributed systems and production system design

    Qualification:

    • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field (B.Tech / B.E or equivalent)
    • Master’s degree (M.Tech or equivalent) is a plus, but not required

    Role Focus:

    • Own the end-to-end lifecycle of GenAI applications, from problem definition and experimentation to production deployment and continuous monitoring
    • Build intelligent systems that combine time-series modeling, signal processing, and GenAI technologies
    • Design and implement LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration, and evaluation frameworks at scale
    • Develop AgenticAI applications that integrate diverse data sources, including sensor-based time-series data, unstructured text, and machine learning outputs

    Additional responsibilities:

    • Drive technical decision-making across architecture, tooling, experimentation strategy, and deployment patterns for AgenticAI systems
    • Partner closely with Product, Engineering, Applied AI, and domain experts to translate customer problems into scalable technical solutions
    • Contribute to the development of data pipelines, deployment infrastructure, evaluation frameworks, and monitoring systems across MLOps and LLMOps environments
    • Monitor deployed systems for performance, drift, reliability, latency, and cost efficiency, continuously improving model quality and operational scalability
    • Collaborate directly with customers and internal stakeholders to prototype and deliver innovative AI-driven experiences

    Nice to have:

    • Background in industrial systems, IoT platforms, digital twins, or manufacturing technologies
    • Familiarity with time-series modeling, anomaly detection, predictive maintenance, or sensor analytics systems
    • Experience with streaming infrastructure such as Kafka, NSQ, or similar event-driven architectures
    • Familiarity with data platforms such as Databricks, BigQuery, Snowflake, or lakehouse architectures
    • Experience working with knowledge graphs, context graphs, or data-intensive AI applications
    • Exposure to multimodal AI systems combining structured, unstructured, and sensor-driven data

    Other:

    • Augury is a people-first organization that fosters an inclusive environment and welcomes employees from all backgrounds and varying experiences
    • The company is committed to providing employees with a work environment free of discrimination and harassment
    • Augury is a proud equal opportunity employer that strives to create a work environment in which everyone feels safe and comfortable

    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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