Job description
Company Overview
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good, and know how to balance the two.
Role
10Pearls is seeking an Agentic AI Engineer to design and build intelligent AI-driven systems powered by Large Language Models (LLMs). The ideal candidate will work on developing agent-based AI workflows, integrating LLMs into real-world applications, and building scalable AI-powered solutions. This role involves close collaboration with product, engineering, and data teams to deliver innovative AI capabilities.
Responsibilities
• Design and develop agent-based AI systems using LLMs and modern AI frameworks.
• Build and optimize AI workflows, including prompt engineering and chaining strategies.
• Integrate OpenAI APIs and other LLM services into applications.
• Develop and manage vector databases for semantic search and retrieval.
• Build and maintain backend services and APIs for AI-driven applications.
• Optimize AI models for performance, cost, and scalability.
• Collaborate with cross-functional teams to implement AI solutions into production systems.
• Monitor and improve system outputs, ensuring quality and reliability of AI responses.
• Stay updated with emerging trends in Generative AI and agent frameworks.
Requirements
• 3-6 years of experience in AI/ML engineering, backend development, or related roles.
• Hands-on experience working with LLMs (OpenAI APIs or similar) and agent frameworks (LangChain, AutoGPT, CrewAI, etc.).
• Strong understanding of prompt engineering and AI workflow design.
• Experience with Python and backend development.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience building and integrating REST APIs.
• Understanding of AI system evaluation, monitoring, and optimization.
• Strong problem-solving and analytical skills.
• Ability to work in a fast-paced, collaborative environment.
Nice to Have
• Familiarity with RAG (Retrieval-Augmented Generation) architectures.
• Experience working with cloud platforms (AWS, GCP, Azure).
• Exposure to AI product development or production-grade AI systems.
• Interest in emerging AI tools and rapid prototyping workflows.
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