Lead AI Engineer

About the role:**Message Either Recruiter on Linkedin for best Results- The faster the response, the more likely to receive an offer- Recruiter: Andrew Dale https://www.linkedin.com/in/andrew-dale-75691a3bb/Recruiter: Austin Madison https://www.linkedin.com/in/austin-madison-45838a204/The Client is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the The Client Intelligence delivery organization and part of a GenAI project. You will be required to lead a team of other The Client engineers across different skill sets. In the past, the The Client GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises.Location: New YorkRequired skills:10+ years of professional experience in software engineers and building applications/systems2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systemsExpert proficiency in programming skills in Python, Langgraph and SQL is a mustExpert in architecting GenAI applications/systems using various frameworks & cloud servicesExpert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likesExpert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similarGood proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applicationsExperience in driving the engineering team toward a technical roadmapExcellent communication skills to effectively collaborate with business SMEsRoles & Responsibilities:Solutioning & Lead-Build the technical roadmap given a business requirement and own the delivery of the sameLead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfactionDesign robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditionsMentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model developmentHands-on skills-Develop LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architecturesBuild and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runsCodebase ownership: Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practicesCloud integration: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processesCommunication-Actively follows the frontier and has differentiated, up-to-date views on model releases, agentic architectures, evaluation methods, tool-use and computer-use patterns, multimodal capability, reasoning/test-time compute trends, and the serious open questions in the fieldProduce a structured, high-signal answer to an open-ended technical or strategic question — while modulating depth for a non-engineering executive audienceCross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI productsValues: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our valueWe work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfectionWe are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivityAdvantages of joining:Amazing work culture (Super collaborative & supportive work environment; 5 days a week)Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)Competitive compensationFlexible working hoursCompensation:$300k+ base salary, Equity, and RSPsDon’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. The Client is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At The Client we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.