AI Engineer/ Forward Deployed Software Engineer (FDSE)

Role Overview: Our client, a leading AI company, is seeking exceptional AI Engineers/Forward Deployed Software Engineers to join their team. In this role, you will have a highly impactful position at the intersection of AI, Software Engineering, Product, and Customer Success. You will work closely with customers to understand their business challenges, design AI-powered solutions, build applications, and drive successful deployments. This role is ideal for individuals who enjoy architecture discussions, customer interactions, rapid prototyping, and shipping production-ready software. Key Responsibilities: - Partner with enterprise customers to understand business processes, workflows, and technical requirements. - Design, build, and deploy AI-powered applications using Large Language Models (LLMs), agents, retrieval systems, and enterprise data. - Develop production-grade software, APIs, integrations, and automation workflows. - Architect and implement Retrieval-Augmented Generation (RAG), agentic systems, orchestration frameworks, and evaluation pipelines. - Lead technical deployments from proof-of-concept through production rollout. - Build custom solutions and prototypes to accelerate customer adoption and success. - Troubleshoot complex issues across AI models, infrastructure, integrations, and application layers. - Work closely with Product and Engineering teams to translate customer feedback into scalable product capabilities. - Develop reusable frameworks, accelerators, and best practices for customer use. - Act as a trusted advisor to customer engineering, product, and executive stakeholders. Qualifications Required: - 38 years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Full-Stack Engineering, or related roles. - Robust programming skills in Python and/or TypeScript. - Experience building and deploying production-grade applications and systems. - Hands-on experience working with Generative AI technologies and modern LLM ecosystems. - Understanding of RAG architectures, embeddings, vector databases, prompt engineering, and AI agents. - Experience integrating APIs, enterprise systems, and third-party platforms. - Strong system design and problem-solving capabilities. - Excellent communication skills and the ability to work directly with customers and stakeholders. - Ability to operate independently in fast-paced, ambiguous environments. Role Overview: Our client, a leading AI company, is seeking exceptional AI Engineers/Forward Deployed Software Engineers to join their team. In this role, you will have a highly impactful position at the intersection of AI, Software Engineering, Product, and Customer Success. You will work closely with customers to understand their business challenges, design AI-powered solutions, build applications, and drive successful deployments. This role is ideal for individuals who enjoy architecture discussions, customer interactions, rapid prototyping, and shipping production-ready software. Key Responsibilities: - Partner with enterprise customers to understand business processes, workflows, and technical requirements. - Design, build, and deploy AI-powered applications using Large Language Models (LLMs), agents, retrieval systems, and enterprise data. - Develop production-grade software, APIs, integrations, and automation workflows. - Architect and implement Retrieval-Augmented Generation (RAG), agentic systems, orchestration frameworks, and evaluation pipelines. - Lead technical deployments from proof-of-concept through production rollout. - Build custom solutions and prototypes to accelerate customer adoption and success. - Troubleshoot complex issues across AI models, infrastructure, integrations, and application layers. - Work closely with Product and Engineering teams to translate customer feedback into scalable product capabilities. - Develop reusable frameworks, accelerators, and best practices for customer use. - Act as a trusted advisor to customer engineering, product, and executive stakeholders. Qualifications Required: - 38 years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Full-Stack Engineering, or related roles. - Robust programming skills in Python and/or TypeScript. - Experience building and deploying production-grade applications and systems. - Hands-on experience working with Generative AI technologies and modern LLM ecosystems. - Understanding of RAG architectures, embeddings, vector databases, prompt engineering, and AI agents. - Experience integrating APIs, enterprise systems, and third-party platforms. - Strong system design and problem-solving capabilities. - Excellent communication skills and the ability to work directly with customers and stakeholders. - Ability to operate independently in fast-paced, ambiguous environments.