Gen AI Engineer (Typescript and Python)

Stanley David and Associates; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Stanley David and Associates is hiring an AI Engineer in New York to design and deploy scalable AI solutions. The ideal candidate will have over 6 years of experience in AI/ML and be proficient in Typescript and Python. Responsibilities include collaborating with data scientists and leading technical design reviews, while working on agentic AI initiatives.

Additional expertise in cloud platforms and building distributed systems is essential. This position offers a chance to influence architecture decisions and work on cutting-edge AI technology.

Qualifications

• 6+ years of experience in AI/ML, with strong expertise in agentic workflows.
• Proven ownership of cross‑cutting systems across teams or products.
• Ability to influence technical direction without formal authority.

Responsibilities

• Design and deploy scalable AI/ML solutions to solve complex business problems.
• Work alongside data scientists and business stakeholders.
• Lead technical design reviews and navigate trade-offs on architecture and reliability.

Skills

Building large-scale distributed systems

Expertise in LLM systems

Proficiency in Typescript and Python

Experience with PyTorch

Experience with TensorFlow

Cloud platforms expertise (AWS, Azure, Google Cloud)

Knowledge of containerization technologies

Cross-functional collaboration

Problem-solving skills

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

CrewAI

Job description

AI Engineer: Typescript and Python, Gen AI, Agentic AI

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 with strong expertise in LLM systems, agentic workflows, advanced ML infrastructure, async processing, queues, and streaming systems.
• Experience working with Typescript and Python in GenAI and agentic contexts.
• Advanced proficiency in Python, hands‑on experience with PyTorch, TensorFlow, and Hugging Face.
• Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI) and 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 skills, cross‑functional collaboration, and the ability to articulate complex AI concepts to non‑technical stakeholders.
• 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 development of agent frameworks and orchestration layers, planning, tool use, and memory strategies.
• Design retrieval and grounding (RAG) pipelines.
• Maintain LLM infrastructure, inference, and model gateway.
• Implement evaluation, observability, and safety tooling for autonomous systems.
• Lead technical design reviews and help teams navigate trade‑offs involving autonomy, safety, reliability, scalability, and cost.
• Partner across teams to deliver complex, cross‑cutting agentic AI initiatives from concept to product.
• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise‑ready improvements.