Acklen Avenue is a trusted partner in outsourced development. We help ambitious companies accelerate software delivery by providing complete agile development teams as well as staff augmentation. Acklen Avenue offers more than talent. Our dedicated teams offer a mature product development process, staffed with experienced, full-time experts. And our staff augmentation offering delivers fully vetted and Acklen approved individual developers to add the right skills when and where you need them. Don’t see a current opening that fits your profile on the Acklen Avenue website? Apply here, and we’ll match you with an opportunity as soon as one becomes available that aligns with your skills and experience. We work with clients across a wide range of industries, including banking, insurance, financial services, healthcare, e-commerce, international trade and development, consumer services, wellness and fitness, software development, IT services and consulting, manufacturing, logistics, and more. How It Works Complete the application below to join our talent network. Your profile will be included in our database, where your skills and experience are shared with companies actively seeking talent. Please note that your name and contact information will remain confidential. If a company expresses interest in your profile, we will notify you. At that point, you can decide whether you’d like to move forward with the opportunity. You will remain completely anonymous unless you choose to proceed. Basic Requirements - Advanced English proficiency, with the ability to communicate clearly and fluently - Must be based in the Philippines - Availability to overlap working hours with client time zones (PST, EST, or CST) CORE VALUES At Acklen, we are committed to creating a place for people to grow and improve their lives. We really care about growing people. We are not Messing Around. - Committed to Personal Growth - Seek First to Understand - Bring Out the Best in Others - Solutions-Oriented

• Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems. • Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities. • Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing. • Ensure LLM observability and adherence to AI governance standards. • Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture. • Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability. • Conduct code reviews and enforce design patterns to maintain high-quality code standards. • Collaborate effectively with stakeholders to align on project goals and deliverables.

• Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems. • Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities. • Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing. • Ensure LLM observability and adherence to AI governance standards. • Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture. • Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability. • Conduct code reviews and enforce design patterns to maintain high-quality code standards. • Collaborate effectively with stakeholders to align on project goals and deliverables.

• Design, develop, and implement AI models and algorithms to solve business problems. • Collaborate with cross-functional teams to understand requirements and translate them into AI solutions. • Collect, preprocess, and analyze large datasets for training and evaluation of AI models. • Optimize and fine-tune AI models for performance, accuracy, and scalability. • Stay updated with the latest advancements in AI and machine learning technologies. • Integrate AI solutions with existing systems and workflows. • Document AI development processes, models, and results. • Participate in code reviews and maintain best practices in AI development.