Lead Artificial Intelligence Engineer
1 week ago
About the Company: ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery. About the Role: We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real-world applications to solve complex business problems efficiently. Responsibilities: - Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). - Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. - Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications. - Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. - Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value. - Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems. - Lead projects and mentor junior engineers, contributing to a culture of innovation and growth. Qualifications: - Experience: 5+ years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real-world application development. - Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). - Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). - Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. - Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. - Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments. Work Hours and Benefits: - Mon – Fri - Paid time off and holidays - Flexible working hours - Opportunity to work in a dynamic and collaborative environment - Professional development and training opportunities - Health Insurance
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