AI Developer

eClerx•New York, NY

About The Position

eClerx is looking for a AI Developer with total 5+ years of experience with 2-4 years of experience in AI Development space experience in designing and deploying production-grade GenAI applications. This role focuses on leading advanced analytics initiatives for the Money Movement business by architecting scalable RAG and agent-based solutions that drive productivity and highly customized outcomes. The ideal candidate will have strong expertise in Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures such as Kubernetes. You will design and optimize agentic architectures, implement training and feedback loops, ensure compliance and security standards, and mentor team members on advanced AI solution development. Strong architectural thinking, scalability experience, and stakeholder collaboration skills are essential.

Requirements

Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.
Total 5+ years of experience with 2-4 years of experience in AI Development preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
Deep expertise in Agent training, performance measurement, and feedback processes.
In-depth knowledge of compliance, security, and performance management in a production environment.

Responsibilities

Lead analytics to deepen core areas for Money movement business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.
Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.
Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
Ensure solutions meet stringent compliance, security, and performance management standards.
Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.
Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.