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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.
Job Responsibility
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