Generative AI Engineer: Prompting, LLMs & RAG

Synechron; Charlotte (NC); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Competitive compensation

Global opportunities

Paid annual leave

Insurance plans

Retirement savings

Training opportunities

Udemy for Business

Job summary

Synechron is seeking a highly skilled Generative AI Developer to design, optimize, and maintain AI-powered solutions. You will work with Devin AI, Claude Code, GPT, Gemini, LangChain, and Llama to build innovative AI applications and apply Retrieval-Augmented Generation techniques.

Collaboration with data scientists, ML engineers, and software developers is essential. The role includes deploying models to cloud or on-premise environments, monitoring performance, and ensuring security and

Qualifications

• Bachelor’s or Master’s in CS/DS/ML or related field.
• Strong ML, NLP, and generative AI knowledge.
• Experience with prompt development and fine-tuning LLMs.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face).
• Knowledge of MLOps and cloud platforms.

Responsibilities

• Design and optimize prompts for large language models to improve outputs.
• Fine-tune prompt strategies for chatbots, content generation, and customer service.
• Develop and fine-tune LLMs like GPT, Gemini, LangChain, and Llama.
• Implement RAG and GraphRAG for external knowledge integration.
• Collaborate with data scientists, ML engineers, and software developers.
• Deploy AI models to cloud or on-premise; monitor performance.

Skills

Prompt development

Large language models

NLP

Machine learning

LangChain

Python

Education

Bachelor's or Master's in CS/DS/ML or related field

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

AWS

GCP

Azure

Job description

Synechron is seeking a highly skilled Generative AI Developer to design, optimize, and maintain AI-powered solutions. You will work with Devin AI, Claude Code, GPT, Gemini, LangChain, and Llama to build innovative AI applications and apply Retrieval-Augmented Generation techniques.

Collaboration with data scientists, ML engineers, and software developers is essential. The role includes deploying models to cloud or on-premise environments, monitoring performance, and ensuring security and