Senior Python Developer with GenAI, LLM

Must Have:
GenAI, OpenAI
Cloud
Python
Workflow

Nice to have:
LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent)
Knowledge of Data integration

Job Description:

• Expert in at least one technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across Client
• Is multi-skilled with expertise across software development lifecycle and toolset
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Sought out as coach for at least one technical skill
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
• Stays abreast of cutting-edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm, writes articles

• Develop and maintain AI workflows using Python and orchestration frameworks (e.g., LangChain or similar) to automate generation tasks across multiple domains.
• Design and refine prompts for large language models, optimizing for accuracy, tone, and consistency across use cases.
• Integrate LLMs with existing systems and data sources within secure, cloud-hosted environments (e.g., AWS or equivalent).
• Implement quality controls and human-in-the-loop mechanisms to ensure compliance and reproducibility of results.
• Document processes and frameworks, supporting governance, version control, and knowledge transfer across teams.

• Proficiency (3 plus years) in Python and experience with LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent).
• Hands-on experience developing prompt chains or generative workflows using OpenAI or similar APIs.
• Familiarity with cloud environments (AWS, Azure, or Google Cloud Platform) and enterprise data integration practices.
• Understanding of AI governance, model uncertainty, and prompt versioning best practices.
• Strong communication and documentation skills, especially for cross-functional collaboration with product, risk, and compliance teams.

• Business Casual