Location – New York, NY (Onsite)
Mode – Contract
Job Description
- Define reference architectures for container-based app hosting, memory management (vector DBs), and robust data pipelines.
- Lead the product vision for reusable AI modules, including RAG (Retrieval-Augmented Generation), hybrid ML/LLM systems, and standardized evaluation frameworks.
- Evaluate and select the LLM stack (models, orchestration frameworks, and observability tools) based on cost, latency, and performance.
- Standardize advanced prompting patterns, including chain-of-thought, few-shot templates, and automated chunking strategies to optimize for accuracy and cost.
- Drive team productivity by implementing and championing AI-assisted coding workflows (e.g., GitHub Copilot, Claude Code) to accelerate the Development & migration project.
- Embed LLM workflows into existing enterprise systems, ensuring seamless interoperability and high-performance output.
- Collaborate with security teams to enforce AI safety, data privacy, and ethical AI practices.Recruit, coach, and lead a high-performing GenAI engineering team, fostering a culture of continuous learning.
- Serve as the primary SME for post-sale customer engagements and internal leadership, translating complex AI concepts into actionable business strategies
- 10+ years of experience in AI/ML engineering with 1+ years in agentic AI and LLM systems
- Hands-on development experience using Github Copilot, Claude Code for rapid AI prototyping and implementation
- Expertise in any of the cloud platform (AWS / Azure / GCP)Strong proficiency in LangGraph, LangMem, and agentic workflow development
- Experience with reasoning, instruct, safety & embedding models
- Extensive experience in LLM evaluation and testing (LangGraph evals, Agent evals, DeepEval, prompt testing frameworks
Regards,
Priyanka
Lead Recruiter
Net2Source Inc. | Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA
Direct: 201-221 8131 | Email: Priyanka.j@net2source.com