AI Team Lead

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 even high-growth start-ups. But those are just facts. What makes us unique is that we have a 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: 

As an AI Team Lead, you will be responsible for designing, developing, and deploying AI-powered solutions using modern machine learning and Large Language Model (LLM) technologies. You will lead a team of AI engineers and collaborate with cross-functional stakeholders to build scalable, production-grade AI systems such as chatbots, AI assistants, and intelligent automation solutions. 

You will utilize your expertise in Python, backend development, LLM integration, and AI system design to deliver impactful solutions aligned with business needs. 

Responsibilities: 

• Lead and mentor a team of AI/ML engineers, driving technical excellence and delivery  

  
  

• Design and develop AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.)  

  
  

• Build and optimize Retrieval-Augmented Generation (RAG) systems including Agentic RAG architectures leveraging vector databases and semantic search functionalities 

  
  

• Develop scalable backend services and APIs (FastAPI, Flask, etc.) to integrate AI models into products  

  
  

• Implement prompt engineering techniques to improve accuracy, reliability, and performance of AI systems  

  
  

• Design and develop AI-driven solutions such as chatbots, virtual assistants, and document processing systems  

  
  

• (Preferred) Build agentic AI systems with multi-step workflows, tool usage, and autonomous decision-making  

  
  

• Collaborate with data engineers and ML engineers to design end-to-end AI/ML solutions  

  
  

• Ensure production deployment, monitoring, and performance optimization of AI systems  

  
  

• Drive best practices in code quality, architecture, and system scalability  

  
  

• Communicate technical solutions and insights effectively to both technical and non-technical stakeholders  

  
  

• Stay updated with the latest advancements in AI/ML, LLMs, and agentic AI frameworks  

  
  

Requirements: 

• Bachelor's or master's degree in computer science, AI, Data Science, or related field 

  
  

• 7+ years of relevant experience in AI, machine learning, or software engineering  

  
  

• Strong proficiency in Python and backend development  

  
  

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.)  

  
  

• Experience building AI applications such as chatbots, RAG systems, or AI assistants (using Langchain, Langgraph, CrewAI) 

  
  

• Strong understanding of APIs, system integration, and scalable architecture  

  
  

• Experience with vector databases (Pinecone, FAISS, Weaviate, pgvector, etc.)  

  
  

• Knowledge of prompt engineering and LLM evaluation techniques  

  
  

• Experience deploying AI solutions into production environments  

  
  

• Strong analytical, problem-solving, and communication skills  

  
  

• Ability to lead teams and collaborate cross-functionally