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    Home/Jobs/GenAI Engineer

    GenAI Engineer

    Augury

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

    Skills Required

    LLM
    RAG
    AgenticAI
    Gen AI
    LangChain
    Embeddings
    LLMOps
    multimodal AI
    CrewAI
    AutoGen
    LangGraph
    evaluation frameworks
    MLOps
    Python
    REST

    Description

    Augury is a leader in Machine Health and Process Health solutions using AI technology to improve manufacturing and industrial operations. The GenAI Engineer role focuses on developing scalable GenAI and AgenticAI solutions for industrial environments.

    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

    Qualification:

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

    Responsibilities:

    • Own end-to-end development lifecycle of GenAI and AgenticAI solutions from experimentation to deployment and monitoring
    • Build intelligent systems combining time-series modeling, signal processing, and GenAI technologies including LLMs, embeddings, agents, orchestration frameworks, retrieval pipelines
    • Design and implement LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration, evaluation frameworks at scale
    • Develop AgenticAI applications integrating diverse data sources including sensor-based time-series data, unstructured text, machine learning outputs
    • Drive technical decision-making on architecture, tooling, experimentation strategy, deployment patterns for AgenticAI systems
    • Partner with Product, Engineering, Applied AI, and domain experts to translate customer problems into scalable technical solutions
    • Contribute to data pipelines, deployment infrastructure, evaluation frameworks, monitoring systems across MLOps and LLMOps environments
    • Build and maintain backend services in Python including REST/gRPC APIs and workflow orchestration services connecting AI agents with platform infrastructure
    • Monitor deployed systems for performance, drift, reliability, latency, cost efficiency, continuously improve model quality and operational scalability
    • Collaborate with customers and internal stakeholders to prototype and deliver innovative AI-driven experiences
    • Help shape Augury’s AgenticAI platform and user experience for industrial operators and reliability teams

    Additional responsibilities:

    • Work in fast-paced Agile environments with strong bias toward iteration, experimentation, continuous improvement
    • Communicate and collaborate cross-functionally across technical and non-technical teams
    • Maintain product mindset focused on customer impact, usability, business outcomes

    Nice to have:

    • Background in industrial systems, IoT platforms, digital twins, manufacturing technologies
    • Familiarity with time-series modeling, anomaly detection, predictive maintenance, 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, lakehouse architectures
    • Experience working with knowledge graphs, context graphs, data-intensive AI applications
    • Exposure to multimodal AI systems combining structured, unstructured, sensor-driven data

    More skills:

    GenAI frameworks such as LangChain, CrewAI, AutoGen, LangGraph, LLM-based workflows including prompting, embeddings, RAG, tool calling, orchestration, evaluation systems, Evaluation methodologies such as HITL, LLM-as-a-judge, deterministic evaluation, fine-tuning workflows, Observability and experimentation tooling such as LangSmith, Python for model development, backend services, deployment, monitoring, REST and gRPC APIs, CI/CD workflows, Distributed systems, Cloud-native development patterns, Scalable AI infrastructure

    Other:

    • Augury is a people-first organization fostering an inclusive environment encouraging unique perspectives and authenticity
    • Committed to diversity, equal opportunity, and a workplace free of discrimination and harassment
    • Supports a safe and comfortable environment for all applicants, employees, customers, guests, vendors
    • Prohibits willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability, or any other protected characteristic

    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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