AI Engineer

Tecnoprism Pte Ltd

Ahmedabad District, Vadodara

On-site

INR 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

Tecnoprism Pte Ltd is seeking a hands-on AI Engineer to design, develop and deploy enterprise-grade AI solutions using Generative AI, LLMs, RAG architectures and AI agents. You will drive solutions from prototype to scalable production environments, with a focus on integration and performance.

Ideal candidates have deep Python, LLM experience, and familiarity with cloud platforms and containerization to deliver robust AI systems at scale.

Qualifications

  • Strong Python programming.
  • Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama or similar).
  • RAG architecture and vector databases.
  • LangChain, LangGraph or similar agent frameworks.
  • Prompt engineering and embeddings.
  • REST APIs and backend integration.
  • Experience with Azure, AWS or GCP.
  • Docker and deployment fundamentals.
  • Databricks experience, Mosaic AI, Vector Search and model serving is highly desirable.
  • Familiarity with MLflow and AI evaluation frameworks.

Skills

Python
LLMs
RAG architecture
Vector databases
LangChain
Prompt engineering
REST APIs
Cloud platforms
Docker
Databricks Mosaic
MLflow

Tools

Databricks Mosaic
Vector Search
Model serving

Job description

About the Role


We are looking for a hands-on AI Engineer to design, develop and deploy enterprise-grade AI solutions using Generative AI, Large Language Models (LLMs), RAG architectures and AI agents. The candidate should have experience taking AI solutions from prototypes to scalable production environments.


Required Technical Skills

  • Strong Python programming.
  • Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama or similar).
  • RAG architecture and vector databases.
  • LangChain, LangGraph or similar agent frameworks.
  • Prompt engineering and embeddings.
  • REST APIs and backend integration.
  • Experience with Azure, AWS or GCP.
  • Docker and deployment fundamentals.
  • Databricks experience, particularly Mosaic AI, Vector Search and model serving, is highly desirable.
  • Familiarity with MLflow and AI evaluation frameworks.
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