Job Title: Gen AI Engineer-data Scientist-ML

Location: New York, NY (Hybrid)

Duration: 12+Months

Job Summary:

Gen AI Engineer

In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies.

Responsibilities • GenAI Technical Authority & Architecture Act as the principal technical authority for GenAI and LLM based systems across the organization. • Define and evolve enterprise GenAI architectures, reference implementations, and design patterns. • Own architectural decisions for mualtiagent systems, orchestration frameworks, and complex workflows using CrewAI, LangGraph, or equivalent. • Lead the design of largescale complex document intelligence and parsing solutions, setting the bar for quality and performance. • Hands On Engineering & Problem SolvingRemain deeply handson, contributing to critical code paths, prototypes, and production systems. • Design, build, fine tune, evaluate, and deploy advanced LLM solutions (copilots, autonomous agents, RAG systems, summarization, extraction, chatbots). • Solve the most complex GenAI challenges involving performance, scalability, latency, cost, and reliability. • Drive advanced prompt engineering, evaluation frameworks, and fine tuning strategies.Platform & Production Excellence • Lead the development of reusable GenAI platforms, frameworks, and shared services. • Establish best practices for model lifecycle management, observability, evaluation, and governance. • Ensure GenAI solutions meet enterprise requirements for security, compliance, robustness, and responsible AI. • Partner with cloud, platform, and Governance teams to ensure production readiness at scale. Technical Leadership Without Line Management • Provide technical mentorship and guidance to Lead and Senior GenAI engineers. • Set coding standards, review complex designs, and raise the overall technical bar. • Influence technical direction across teams without direct people management responsibility. • Act as a trusted advisor to engineering leadership, product leaders, and executives. Innovation, Strategy & Thought Leadership • Continuously evaluate emerging LLMs, orchestration frameworks, and GenAI tooling. • Influence GenAI roadmap and investment decisions through technical insight and experimentation. • Drive responsible AI practices, including bias mitigation, explainability, and risk management. • Represent the organization internally and externally as a GenAI technical thought leader

Qualifications/ Skills • Programming: Python (expert level), Java / TypeScript (for system integrations) • GenAI Frameworks: Hugging Face Transformers, Lang Chain, OpenAI API, or equivalents • LLMs: Deep hands-on experience with state of the art models (GPT 4/5 class, Claude, Grok, or similar) • Orchestration: Crew AI, Lang Graph, or other multi agent orchestration systems • ML Frameworks: PyTorch, TensorFlow, or JAX Retrieval & • Data: RAG pipelines, embeddings, vector databases, document chunking strategies • Deployment: Docker, Kubernetes, Fast API, CI/CD pipelines • Cloud Platforms: Azure, AWS, or GCP • Hands on software, ML, or AI engineering experience. delivering GenAI or LLM based systems in production. • Demonstrated experience owning architecture across multiple GenAI initiatives. Proven ability to influence technical direction at an organizational level. • Strong communication skills with both technical and executive audiences. • Experience designing enterprise GenAI platforms or internal AI frameworks. • Hands on work with multi agent or autonomous GenAI systems in production. Contributions to open source GenAI projects, internal platforms, or technical publications. • Experience operating in regulated or high-risk environments requiring strong AI governance.

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