AI Engineer LLM + Natural Language To Query POC

Employment Type:

Short-Term Contract (24 Weeks)

About the Role:

AI Engineer

sample database schema (10+ inter-related tables)

demo

Key Responsibilities:

• Develop a

  self-contained POC

  that translates natural-language inputs into accurate SQL/NoSQL queries based on the provided schema.
• Integrate and experiment with

  multiple LLM APIs

  (OpenAI GPT-4/5, Anthropic Claude, Google Gemini, Mistral, Cohere, AWS Bedrock).
• Design

  prompt structures, validation layers, and accuracy scoring

  mechanisms to ensure >95% query precision.
• Evaluate when to use

  document-based systems

  (MongoDB, Firestore, Elasticsearch) alongside relational models for complex use cases.
• Document

  hybrid storage logic

  when to store data in structured tables vs. document databases.
• Utilize frameworks such as

  LangChain, LlamaIndex, Semantic Kernel, Dust, or Amazon Q

  for model orchestration.
• Deliver clear

  Lucidchart workflows

  showing query generation, context retrieval, and accuracy validation.
• Provide a

  Word/PDF technical document

  explaining the architecture, prompt flow, evaluation metrics, and recommendations.
• Conduct a

  final demo

  and walkthrough session with the internal team.

Expected Deliverables:

Working POC Application

• Uses the provided schema (10+ tables).
• Converts natural-language input into correct SQL/NoSQL queries with >95% accuracy.

Lucidchart Workflow

• Visual representation of the complete pipeline: input prompt LLM query validation output.

Technical Documentation (Word/PDF)

• Setup guide, architecture notes, model design, accuracy testing method, and scale-up roadmap.

Demo & Knowledge-Transfer Session

• One live session to explain design rationale and system performance.

Required Technical Expertise:

• Strong proficiency with

  LLM APIs

  (OpenAI, Anthropic, Gemini, Cohere, Mistral, Bedrock).
• Experience in

  Python

  (preferred) or

  Node.js

  for building LLM pipelines.
• Excellent understanding of

  SQL

  ,

  joins

  , and

  complex schema relationships

  .
• Familiarity with

  MongoDB

  or document databases for alternative query structures.
• Knowledge of

  LangChain, LlamaIndex, or Semantic Kernel

  .
• Understanding of

  RAG (Retrieval-Augmented Generation)

  , embeddings, and context window optimization.
• Experience using

  Lucidchart /

  Flowchart Maker & Online Diagram Software

  / Miro

  for documentation.
• Strong focus on

  accuracy, explainability, and reproducibility

  of AI outputs.

Ideal Candidate Profile:

• 48 years total experience, with 1+ years in

  LLM/NLP/AI projects

  .
• Proven experience building

  natural language to SQL or data query systems

  .
• Independent, detail-oriented, and comfortable in a

  short, fixed-timeline remote engagement

  .
• Strong communication and documentation skills for technical hand-offs.

Keywords (for Naukri SEO):

LLM Engineer, NLP Engineer, Natural Language to SQL, Python AI Developer, LangChain Developer, LlamaIndex, Amazon Q, MongoDB, GPT-4, Claude, Gemini, Bedrock, RAG Engineer, AI Query System, Natural Language Query POC, Generative AI Developer, Prompt Engineer, Remote AI Job, Freelance AI Project, Proof of Concept Engineer.