Job Location
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
Machine Learning
Git
Github
REST APIs
Deep Learning
openAI
Pinecone
Faiss
Large Language Models
Prompt Engineering
Generative AI
LangChain
Chroma
Azure OpenAI
Vector Databases
Llamaindex
RAG
Embeddings
About the job
Title: GenAI Engineer
Job Summary
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.
Key Responsibilities:
- Develop applications using Generative AI and Large Language Models (LLMs).
- Build and test prompt engineering techniques for different use cases.
- Develop RAG (Retrieval-Augmented Generation) applications using company documents and knowledge bases.
- Integrate AI models through APIs such as OpenAI or other LLM providers.
- Work with vector databases for storing and searching document embeddings.
- Develop Python-based AI applications and automation workflows.
- Evaluate LLM responses for accuracy, relevance, and quality.
- Perform data preprocessing, document processing, and text extraction.
- Work with AI frameworks and libraries such as LangChain, LlamaIndex, or similar tools.
- Collaborate with software engineers, data scientists, and product teams to deploy AI solutions.
- Stay updated with new developments in Generative AI, LLMs, and AI tools.
Required Skills
- Python programming
- Basic Machine Learning / Deep Learning knowledge
- Understanding of Generative AI and LLMs
- Prompt Engineering
- Understanding of RAG
- Experience with REST APIs
- Basic knowledge of embeddings and vector databases
- Familiarity with tools such as:
- OpenAI / Azure OpenAI
- LangChain
- LlamaIndex
- FAISS, Chroma, Pinecone, or similar vector databases
- Basic knowledge of Git and GitHub
- Good problem-solving and communication skills
Good to Have
- Knowledge of AWS, Azure, or Google Cloud
- Experience with Docker
- Knowledge of SQL and databases
- Familiarity with AI agents and tool calling
- Basic understanding of model evaluation and AI safety
- Experience deploying Python applications using FastAPI or similar frameworks
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 5+ years of experience in software development, AI/ML, or Generative AI.
About the company
Learn more about GlobalPoint 
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