AI / RAG Developer

2 days ago

Faridabad, Haryana, India VOCSO Technologies Pvt. Ltd. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job description:

Job Summary:

We are looking for a 1 to 2-year-experienced AI & Data Retrieval Engineer to develop natural language query (NLQ) and Text-to-SQL systems for PostgreSQL. The ideal candidate has expertise in LLMs, NLP, AI-powered SQL generation, and vector search using tools like LangChain, LlamaIndex, Haystack, and pgVector. You will design and optimize AI-driven search and data retrieval solutions, enabling accurate and efficient query execution.

Key Responsibilities

  • Develop AI-powered query systems:
     Implement LLM-based SQL generation and vector search techniques for efficient natural language querying on PostgreSQL.
  • Integrate NLP & Database Technologies:
     Use LangChain SQL Agent, LlamaIndex, Haystack, pgVector, FAISS, or Pinecone for efficient retrieval.
  • Optimize Database Queries:
     Ensure fast and accurate retrieval from PostgreSQL by optimizing SQL queries and indexing techniques.
  • Implement Vector Search:
    Use pgVector or FAISS for semantic search on unstructured database fields.
  • Fine-Tune LLMs:
     Improve accuracy by fine-tuning OpenAI, Hugging Face models, or custom LLMs on database schema.
  • API Development & Integration:
     Build APIs that allow front-end applications and BI tools to interact with AI-driven queries.
  • Security & Compliance:
     Implement access control and secure querying to prevent SQL injection and ensure data privacy.
  • Monitor Performance:
     Continuously improve accuracy, response time, and efficiency of AI-generated SQL queries.

Qualifications

Required Skills & Experience:

  • 2+ years of experience in AI-powered SQL query generation, NLP, and PostgreSQL.
  • Hands-on experience with LangChain, LlamaIndex, Haystack, or similar AI-powered search frameworks.
  • Strong understanding of SQL query optimization and PostgreSQL indexing strategies.
  • Experience with vector search databases like pgVector, FAISS, Weaviate, Pinecone.
  • Familiarity with LLMs (GPT-4, Llama 2, Claude, DeepSeek Coder, etc.) for SQL generation.
  • Proficiency in Python (FastAPI, Flask, Django) and AI/ML libraries (Transformers, OpenAI API, Hugging Face).
  • Experience in building AI-driven chatbots or search systems is a plus.
  • Knowledge of BI tools (Metabase, Superset, Power BI) and their integration with AI-powered query systems.
  • Preferred Qualifications: Experience working on large-scale NLP & database integration projects.
  • Previous work with RAG (Retrieval-Augmented Generation) architectures.
  • Knowledge of embedding models (BERT, OpenAI Embeddings, Cohere, etc.).
  • Experience in deploying LLM-based SQL query engines in production environments.

Job Type: Full-time

Experience:

  • relevant: 2 years (Preferred)

Work Location: In person

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