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    Home/Jobs/AI Data engineer

    AI Data engineer

    P99soft

    Hyderabad
    2-10 years
    9 days ago
    ₹8–19 LPA
    Full-time
    Hybrid

    Skills Required

    Large Language Models (LLMs)
    Prompt Engineering
    Retrieval-Augmented Generation (RAG)
    Vector Database
    LangChain
    LlamaIndex
    Python
    Snowflake ETL development
    Semantic Kernel
    Pinecone
    Chroma
    Neo4j
    FAISS
    Weaviate
    REST API

    Description

    P99Soft Pvt Ltd is a technology-driven organization specializing in digital transformation, cloud solutions, data engineering, AI, and enterprise application development. We partner with global clients to deliver innovative and scalable technology solutions that solve complex business challenges. As we continue to expand our AI and data capabilities, we are looking for talented AI/Data Engineers who are passionate about building intelligent applications, automating business workflows, and developing modern data platforms.

    Company: P99soft

    Role: AI Data engineer

    Location: Hyderabad | Hybrid

    Experience:

    • 2–10 Years

    Key Skills:

    • Python
    • Large Language Models (LLMs)
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Vector Databases
    • Snowflake ETL development
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • Pinecone
    • Chroma
    • FAISS
    • Neo4j
    • Weaviate
    • REST APIs
    • AWS
    • Azure
    • Google Cloud platforms

    Qualification:

    • Strong hands-on experience with Advanced Python Programming
    • Experience working with LLMs such as GPT, Claude, Gemini, or similar models
    • Strong expertise in Prompt Engineering and AI workflow design
    • Experience building and deploying RAG-based solutions
    • Exposure to LLM fine-tuning, model adaptation, or customization techniques
    • Strong data wrangling, transformation, and processing skills
    • Experience developing ETL/ELT pipelines
    • Strong proficiency in Snowflake SQL and Snowflake ETL development

    Role Focus:

    • Design, develop, and deploy AI-powered applications using Large Language Models (LLMs)
    • Build and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval use cases
    • Develop advanced prompt engineering strategies to improve LLM accuracy, performance, and business relevance
    • Implement AI workflow automation solutions to streamline business processes and operational workflows
    • Support LLM fine-tuning, customization, and optimization for domain-specific applications
    • Integrate AI capabilities into existing enterprise systems and workflows
    • Design, develop, and maintain scalable data pipelines and ETL processes
    • Build and optimize Snowflake-based data solutions, including data ingestion, transformation, validation, and loading
    • Perform data wrangling, cleansing, enrichment, and transformation across structured and unstructured datasets
    • Implement data quality checks, validation frameworks, and reconciliation processes
    • Integrate data from multiple enterprise applications and external sources
    • Develop and manage vector database solutions using Pinecone, Chroma, FAISS, Neo4j, Weaviate, or similar technologies
    • Implement document ingestion, chunking, embedding generation, indexing, and semantic search strategies
    • Design scalable knowledge retrieval architectures for AI-driven applications
    • Optimize retrieval performance, relevance, and response quality
    • Collaborate with business stakeholders, product teams, and technical teams to gather requirements and design solutions
    • Translate business challenges into scalable AI and data engineering solutions
    • Ensure applications and data platforms meet enterprise standards for security, scalability, performance, and maintainability
    • Support ongoing enhancements, troubleshooting, and optimization initiatives

    Nice to have:

    • Experience with AWS, Azure, or Google Cloud platforms
    • Knowledge of MLOps, model deployment, and monitoring practices
    • Experience with enterprise workflow tools and business process automation
    • Exposure to HR, rewards, approval workflows, or operational automation systems
    • Understanding of modern data architecture and cloud-native solutions

    Other:

    • Opportunity to work on cutting-edge AI, Generative AI, and Data Engineering projects
    • Exposure to enterprise-scale cloud and data platforms
    • Collaborative and innovation-driven work environment
    • Continuous learning and career growth opportunities
    • Work with global clients and high-impact business transformation initiatives
    • P99soft is an equal-opportunity employer
    • Life@P99soft: vibrant office culture, regular team-building activities, workshops, and social events
    • Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”
    • Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”

    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.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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