Required Education
Bachelor's degree/University degree or equivalent experienceRequired Qualifications/Skills/Experience
8+ years in Python and AI with 2+ years focused on GenAI/Agentic runtimeStrong command of Python, PyTorch, TensorFlow, and Hugging Face librariesHands-on experience with LangChain, LlamaIndex, vector databases, and fine-tuning techniques (LoRA, QLoRA)Proven ability to integrate AI models into web applications via APIs (OpenAI, Anthropic)Solid understanding of software engineering best practices, including Git, CI/CD, and DockerBuild and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAI with self-healing workflows (Act-Verify-Refine loops)Develop robust backend systems using Python and TypeScript, integrating LLMs into microservices architecturesUtilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect RAG pipelinesDesign and optimize prompt strategies, including automated evaluation frameworks for high-quality LLM outputManage LLM information ecosystems, including system prompts, RAG implementation, and conversation historyOversee end-to-end lifecycle of generative models focusing on inference speed, cost-efficiency, and scalability on cloud platforms (AWS, GCP, Azure)Ensure adherence to security standards, IP regulations, and safety guidelines for all generative modelsDefine and manage API/tool access for AI agents to optimize accuracyPartner with multiple management teams to ensure appropriate integration of functions to meet goalsResolve high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standardsProvide expertise in application programming, ensuring application design adheres to the overall architecture blueprintUtilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementationDevelop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goalsProvide in-depth analysis with interpretive thinking to define issues and develop innovative solutionsServe as advisor or coach to mid-level developers and analysts, allocating work as necessaryAppropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding clients and assets by driving compliance with applicable laws, rules, and regulationsPreferred Qualifications/Skills/Experience
Experience with multimodal AI models (image, video, audio generation)Published AI/LLM research or contributions to open-source AI projectsBackground in AI governance or safety policy developmentSenior Python Developer Overview:
Senior Python Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications, systems analysis, and programming activities. This role requires 8+ years of experience in Python and AI with at least 2 years focused on GenAI and Agentic runtime development. The successful candidate will partner with multiple management teams to ensure appropriate integration of functions to meet goals while identifying and defining necessary system enhancements to deploy new products and process improvements. Key responsibilities include building and orchestrating AI agents using frameworks like LangChain, AutoGen, or CrewAI with self-healing workflows, developing robust backend systems using Python and TypeScript, integrating LLMs into microservices architectures, and utilizing vector databases such as Pinecone, Milvus, and Weaviate for agent memory. The role demands strong technical proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries, along with hands-on experience with LangChain, LlamaIndex, vector databases, and fine-tuning techniques, including LoRA and QLORA. The developer will design and optimize prompt strategies, manage LLM information ecosystems, oversee the end-to-end lifecycle of generative models, focusing on inference speed and scalability on cloud platforms including AWS, GCP, and Azure, and ensure adherence to security standards and AI ethics compliance. This position serves as an advisor and coach to mid-level developers and analysts while resolving high impact problems through in-depth evaluation of complex business processes and industry standards.
Job Duties
Partner with multiple management teams to ensure appropriate integration of functions to meet goalsIdentify and define necessary system enhancements to deploy new products and process improvementsResolve a variety of high impact problems/projects through in-depth evaluation of complex business processesProvide expertise in application programming, ensuring application design adheres to the overall architecture blueprintUtilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementationDevelop comprehensive knowledge of how areas of business integrate to accomplish business goalsProvide in-depth analysis with interpretive thinking to define issues and develop innovative solutionsServe as advisor or coach to mid-level developers and analysts, allocating work as necessaryAssess risk when business decisions are made, demonstrating consideration for the firm's reputationBuild and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAIDevelop robust backend systems using Python and TypeScript, integrating LLMs into microservicesUtilize vector databases for agent memory and architect RAG pipelinesDesign and optimize prompt strategies, including automated evaluation frameworksOversee end-to-end lifecycle of generative models, focusing on inference speed and scalabilityEnsure adherence to security standards, IP regulations, and safety guidelines for generative modelsDefine and manage API/tool access for AI agents to optimize accuracy - Only those lawfully authorized to work in the designated country associated with the position will be considered.
- Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.
Benefits:
For information and details on employment benefits offered with this position, please visit
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California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website
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Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise,
please contact our HR Department
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Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
