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Job Description

Job Title: AI Engineer

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About the Role

We’re looking for a skilled Python Developer with hands-on experience in building AI/ML solutions to automate data quality issues, particularly using GenAI libraries. You’ll work closely with our AI team to develop, optimize, and deploy intelligent applications.

Key Responsibilities

  • MOST CRITICAL: Write clean, efficient, and scalable Python code
  • Efficiently handle large data and perform data analysis to understand patterns
  • Data quality automation for Data normalization, Data validations and Data standardization at scale
  • Build and integrate GenAI-based features (LLMs, RAG, embeddings, etc.)
  • Develop scalable APIs, pipelines, and backend services for AI applications
  • Work with libraries like LangChain, LlamaIndex, Langgraph, HuggingFace Transformers, OpenAI, etc.
  • Optimize performance of AI inference and data workflows
  • Improve Data quality using AI technologies
  • Collaborate with data scientists and frontend teams

Required Skills

  • Strong Python programming skills (3+ years)
  • Hands-on experience with GenAI / LLM frameworks ( LangChain, LlamaIndex, Langgraph, Transformers, OpenAI, etc.)
  • Solid understanding of APIs and web integration with proven scalable deployments
  • Good Data manipulation background including Data quality, normalization, validation, standardization knowledge
  • Good automation mindset 
  • Familiarity with prompt engineering and vector databases (e.g. Milvus, Elasticsearch)
  • Version control (Git) and good debugging habits

Preference

  • Domain knowledge in Revenue intelligence Accounts and Contacts data
  • Exposure to cloud platforms (Azure/AWS)
  • Prior work on chatbots, RAG systems, or multi-agent frameworks
  • Availability to join the organization between 1-4 weeks.


📩 Interested or know someone who’d be a great fit?

Send your resume to career@sprouts.ai

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