Generative AI Engineer
About the role
Generative AI Engineer – LLM & AI Applications
Experience: 3–8 Years
Job Type: Contractor
Location: Remote
Compensation: $40–$60/hour
Role Overview
We are looking for an experienced Generative AI Engineer to design, develop, and optimize production-ready AI applications using LLMs, RAG, AI agents, embeddings, and modern GenAI frameworks.
Key Responsibilities
Develop and deploy Generative AI and LLM-based applications.
Build RAG pipelines, AI agents, copilots, search, and conversational AI systems.
Integrate LLM APIs and open-source models into production applications.
Design prompt engineering, context management, and structured output workflows.
Work with embeddings, vector databases, and semantic search.
Evaluate AI outputs for accuracy, relevance, hallucinations, and overall quality.
Optimize LLM applications for latency, scalability, reliability, and cost.
Key Requirements
3–8 years of experience in AI/ML, Software Engineering, or related roles.
Strong hands-on experience with Generative AI and LLM applications.
Strong proficiency in Python.
Experience with RAG, prompt engineering, embeddings, and vector databases.
Experience with LLMs/APIs such as OpenAI, Anthropic, Gemini, Llama, or similar models.
Hands-on experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
Understanding of LLM evaluation, hallucination reduction, and model performance.
Responsibilities
- Develop and deploy Generative AI and LLM-based applications
- Build RAG pipelines, AI agents, copilots, search, and conversational AI systems
- Integrate LLM APIs and open-source models into production applications
- Design prompt engineering, context management, and structured output workflows
- Work with embeddings, vector databases, and semantic search
- Evaluate AI outputs for accuracy, relevance, hallucinations, and overall quality
- Optimize LLM applications for latency, scalability, reliability, and cost
Qualifications
- 3–8 years of experience in AI/ML, Software Engineering, or related roles
- Strong hands-on experience with Generative AI and LLM applications
- Strong proficiency in Python
- Experience with RAG, prompt engineering, embeddings, and vector databases
- Experience with LLMs/APIs such as OpenAI, Anthropic, Gemini, Llama, or similar models
- Hands-on experience with LangChain, LlamaIndex, LangGraph, or similar frameworks
- Understanding of LLM evaluation, hallucination reduction, and model performance
Skills mentioned
About Codefeast
Empowering Businesses with the Right Talent – Contract or Permanent, We Deliver. We specialize in building agile teams for the modern workplace. Whether you need on-demand contract developers or long-term hires, Codefeast provides talent solutions that adapt to your needs. Flexible, reliable, and future-ready — that’s how we empower your business growth