Gen AI Engineer- Devin AI and Claude Code

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

We are looking for a highly skilled Generative AI Developer to join our team. The ideal candidate will be responsible for developing, optimizing, and maintaining AI-powered solutions, with a strong focus on Devin AI and Claude Code, prompt engineering and large language models (LLMs) such as GPT, Gemini, Langchain, and Llama. You will also work with advanced retrieval methods like RAG (Retrieval-Augmented Generation) and GraphRAG to enhance AI outputs and improve knowledge retrieval.

You will collaborate with a multidisciplinary team of data scientists, machine learning engineers, and software developers to design and implement cutting-edge AI applications.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Charlotte, NC is $100K to $125K/year & benefits (see below).

Prompt Development & Engineering:

• Design and optimize effective prompts for large language models to improve output quality for various use cases.
• Fine-tune prompt strategies for specific applications, including chatbots, content generation, and automated customer service.
• Strong expereince with Devin AI and Claude Code
• Test and iterate on different prompt approaches to ensure alignment with project goals.
• Develop and fine-tune large language models like GPT, Gemini, Langchain, and Llama for specific business needs.
• Implement RAG techniques to improve model outputs by integrating external knowledge from retrieval systems.
• Leverage GraphRAG to enhance complex knowledge retrieval and graph-based data representation in AI models.
• Stay updated on advancements in AI/LLM technologies and recommend new tools or models to enhance the AI stack.
• Work closely with product managers, software developers, and other stakeholders to align AI capabilities with business objectives.
• Communicate technical concepts and model behavior to non-technical team members in a clear and concise manner.
• Provide documentation and training to users and developers on utilizing AI models effectively.

• Deploy AI models into production environments using cloud services or on-premise infrastructures.
• Continuously monitor model performance, scaling solutions as needed, and ensuring models meet security and compliance standards.
• Troubleshoot and optimize models for speed, accuracy, and scalability in production systems.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning concepts, natural language processing (NLP), and generative AI.
• Experience with prompt development and fine-tuning large language models like GPT, Gemini, Langchain, and Llama.
• Proficiency in programming languages such as Python, with experience in AI/ML libraries (e.g., Tensor Flow, PyTorch, Hugging Face).
• Knowledge of MLOps tools for model deployment and monitoring.
• Experience working with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.

• Prior experience with Langchain for integrating LLMs into applications.
• Familiarity with tools and techniques…