Search

Gen AI Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Title: GenAI Engineer

\n


\n

Job Summary

\n

We are looking for a GenAI Engineer to design, develop, and integrate Generative AI solutions into applications and business processes. The ideal candidate should have a basic understanding of Python, Large Language Models (LLMs), prompt engineering, RAG, APIs, and machine learning concepts.

\n


\n

Key Responsibilities:

\n


\n

    \n
  • Develop applications using Generative AI and Large Language Models (LLMs).
  • \n

  • Build and test prompt engineering techniques for different use cases.
  • \n

  • Develop RAG (Retrieval-Augmented Generation) applications using company documents and knowledge bases.
  • \n

  • Integrate AI models through APIs such as OpenAI or other LLM providers.
  • \n

  • Work with vector databases for storing and searching document embeddings.
  • \n

  • Develop Python-based AI applications and automation workflows.
  • \n

  • Evaluate LLM responses for accuracy, relevance, and quality.
  • \n

  • Perform data preprocessing, document processing, and text extraction.
  • \n

  • Work with AI frameworks and libraries such as LangChain, LlamaIndex, or similar tools.
  • \n

  • Collaborate with software engineers, data scientists, and product teams to deploy AI solutions.
  • \n

  • Stay updated with new developments in Generative AI, LLMs, and AI tools.
  • \n

\n


\n

Required Skills

\n

    \n
  • Python programming
  • \n

  • Basic Machine Learning / Deep Learning knowledge
  • \n

  • Understanding of Generative AI and LLMs
  • \n

  • Prompt Engineering
  • \n

  • Understanding of RAG
  • \n

  • Experience with REST APIs
  • \n

  • Basic knowledge of embeddings and vector databases
  • \n

  • Familiarity with tools such as:
  • \n

  • OpenAI / Azure OpenAI
  • \n

  • LangChain
  • \n

  • LlamaIndex
  • \n

  • FAISS, Chroma, Pinecone, or similar vector databases
  • \n

  • Basic knowledge of Git and GitHub
  • \n

  • Good problem-solving and communication skills
  • \n

\n


\n

Good to Have

\n

    \n
  • Knowledge of AWS, Azure, or Google Cloud
  • \n

  • Experience with Docker
  • \n

  • Knowledge of SQL and databases
  • \n

  • Familiarity with AI agents and tool calling
  • \n

  • Basic understanding of model evaluation and AI safety
  • \n

  • Experience deploying Python applications using FastAPI or similar frameworks
  • \n

\n


\n

Education & Experience

\n

    \n
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • \n

  • 5+ years of experience in software development, AI/ML, or Generative AI.
  • \n

\n


Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...