AI Engineer

Role: AI Engineer

Location: New York NY (Onsite)

Duration: Full Time (Permanent)

Experience Required - 6 Years

Role Overview: Design develop and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists business stakeholders and cloud teams to build production-grade AI systems.

Must Have Technical/Functional Skills:

6 years of experience building large-scale distributed systems strong experience with LLM systems agentic workflows or advanced ML infrastructure async processing queues and streaming systems

Experience working on Typescript and Python Gen AI Agentic AI

Advanced proficiency in Python Hands-on experience with PyTorch TensorFlow Hugging Face.

Practical knowledge of model orchestration frameworks (e.g. LangChain LlamaIndex CrewAI) Familiarity with vector databases

Experience with cloud platforms (AWS Azure AI Google Cloud Vertex AI) and containerization technologies

Proven ownership of complex cross-cutting agentic systems spanning multiple teams or products.

Strong engineering fundamentals across backend systems APIs data pipelines and cloud infrastructure.

Deep experience across the agentic AI stack including planning tool use memory and evaluation.

Fluency with AI-assisted and agentic development workflows.

Ability to influence technical direction and align teams without formal authority.

Problem-solving cross-functional collaboration and the ability to articulate complex AI concepts to non-technical business stakeholders

Roles & Responsibilities:

Drive technical direction for agentic AI initiatives influencing architecture patterns autonomy boundaries and system design.

Design build and operate production-grade agentic AI systems used across multiple products.

Own and evolve shared agentic AI capabilities including:

Design and Develop Agent frameworks and orchestration layers

Planning tool use and memory strategies

Design Retrieval and grounding (RAG) pipelines

LLM infrastructure inference and model gateways

Evaluation observability and safety tooling for autonomous systems

Lead technical design reviews and help teams navigate tradeoffs involving autonomy safety reliability scalability and cost.

Partner across teams to deliver complex cross-cutting agentic AI initiatives from concept to production.

Evaluate emerging models techniques and agentic patterns and translate them into practical enterprise-ready improvements.