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    Home/Jobs/Data & AI Engineering

    Data & AI Engineering

    Opella

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

    Skills Required

    LLM
    LangChain
    RAG
    Vector Database
    Python
    SQL
    Snowflake
    DBT
    Apache Airflow
    FastAPI
    Docker

    Description

    Opella is looking for a hands-on AI & Data Engineer to build and deploy enterprise-grade AI capabilities powering Opella's internal analytics platforms.

    Company: Opella

    Role: Data & AI Engineering

    Location: Hyderabad, Telangana, India

    Experience:

    • 4–8 years of experience in AI/Data Engineering or Applied AI systems
    • Strong programming skills in Python
    • Strong SQL and data modeling experience (Snowflake preferred)

    Key Skills:

    • LLMs (GPT, Claude, etc.)
    • Prompt engineering for structured outputs (SQL, JSON, insights)
    • Few-shot prompting and instruction design
    • Prompt evaluation and optimization
    • RAG pipelines and embeddings
    • Vector search systems (Pinecone, Elastic, FAISS)
    • FastAPI / Flask, Docker, cloud deployments
    • Airflow, etc.
    • Snowflake
    • DBT
    • AWS Bedrock
    • OpenAI
    • Anthropic

    Qualification:

    • Bachelor's degree in Computer Science, Data Engineering, AI, or related field
    • Advanced certifications (AWS, Snowflake, Databricks, GCP) are a plus

    Role Focus:

    • Design and build scalable data pipelines using Snowflake / cloud data platforms
    • Develop analytics-ready data models (facts, dimensions, semantic layers)
    • Ensure data quality, consistency, and performance across AI workflows
    • Design and implement LLM-powered capabilities
    • Build and optimize prompt engineering frameworks
    • Integrate LLMs via platforms like AWS Bedrock, OpenAI, Anthropic
    • Engineer RAG pipelines and embedding-based retrieval systems
    • Design vector search strategies
    • Combine structured and unstructured sources into unified knowledge layers
    • Develop APIs and microservices using Python, FastAPI, Docker
    • Build orchestration layers for multi-step AI workflows and agent-based systems
    • Implement inference services, caching layers, and reusable AI components
    • Deploy scalable AI services using cloud-native architectures
    • Integrate AI systems with governed semantic layers and metadata
    • Ensure outputs align with defined KPIs, business rules, and data standards
    • Translate business questions into reusable AI-powered analytics services

    Nice to have:

    • Exposure to agent frameworks (LangChain, Autogen)
    • Experience with prompt + metadata-driven systems
    • Familiarity with Streamlit or user-facing data apps
    • Experience in CPG, retail or ecommerce

    Other:

    • At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity.
    • This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.
    • All In Together: We keep each other honest and have each other's backs.
    • Courageous: We break boundaries and take thoughtful risks with creativity.
    • Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity.
    • Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.

    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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