Need Gen AI Engineer at New York, NY (Hybrid)

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Pleasure mailing you. Please go through the below requirement and let me know if you are comfortable with the position.

Please send me your updated resume along with the best hourly rate, work authorization status and availability.

An early response is really appreciated.

Job Title: Gen AI Engineer

Location: New York, NY (Hybrid)

Duration: 6 Months

Job Summary:

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 multiagent systems, orchestration frameworks, and complex workflows using CrewAI, Lang Graph, or equivalent.
Lead the design of largescale complex document intelligence and parsing solutions, setting the bar for quality and performance.
Hands On Engineering & Problem Solving Remain deeply hands-on, contributing to critical code paths, prototypes, and production systems.
Design, build, fine tune, evaluate, and deploy advanced LLM solutions (co-pilots, 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, explain ability, and risk management.
Represent the organization internally and externally as a GenAI technical thought leader

Qualifications/Education:

Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field.
Excellent written and verbal communication skills

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.