FS
Gen AI Engineering Lead
Accepting applicationsFirst Soft Solutions LLC · New York, NY
Full-Time Mid_senior AIMentorPythonaiate
Posted
4d ago
Category
Test
Experience
Mid_senior
Country
United States
AI Engineering Lead
Location: NYC, NY (Hybrid Onsite)
Employment Type: Full-Time
Work Authorization (Must Have)
US Citizens
Green Card Holders
H1B Transfer Candidates
No OPT/CPT
About The Role
We are seeking a highly experienced AI Engineering Lead with strong expertise in Generative AI, LLMs, and Multi-Agent Systems to drive innovative AI solutions.
In this role, you will lead engineering teams, design scalable GenAI applications, and architect next-generation multi-agent AI systems to solve complex business challenges. This is an opportunity to work on cutting-edge AI technologies while influencing technical direction and delivery at scale.
Required Skills & Experience
12+ years of software engineering experience building enterprise applications/systems
2+ years of hands-on experience in Generative AI / LLMs, especially multi-agent systems
Strong expertise in Python, LangGraph, and SQL (Must Have)
Experience architecting and deploying GenAI solutions on Azure, AWS, or GCP
Hands-on experience with AI developer tools such as Claude Code, Codex, Cursor, Windsurf, or similar
Experience with AI observability & evaluation tools like LangSmith, Langfuse, or equivalent
Strong Understanding Of
RAG (Retrieval-Augmented Generation)
Agentic workflows
Model evaluation & LLM-as-a-Judge
CI-integrated evaluation pipelines Strong communication skills with the ability to collaborate effectively with business SMEs and stakeholders
Key Responsibilities
Lead the design and delivery of GenAI / Multi-Agent AI solutions for enterprise customers
Build and own the technical roadmap aligned with business objectives
Design multi-agent architectures, including supervisor-router patterns and dynamic agent routing
Develop, deploy, and optimize LLM-based applications using Python, LangChain/LangGraph, and SQL
Implement RAG systems, evaluation pipelines, and observability frameworks
Deploy and scale AI applications on Azure, AWS, or GCP with strong CI/CD practices
Mentor engineering teams and drive technical excellence & best practices
Stay updated with advancements in LLMs, Agentic AI, multimodal models, evaluation methods, and reasoning frameworks
What We Re Looking For
We are looking for a hands-on technical leader who combines strong software engineering, GenAI expertise, architecture skills, and leadership capabilities to build and deliver innovative AI solutions at enterprise scale.
Show more Show less
Location: NYC, NY (Hybrid Onsite)
Employment Type: Full-Time
Work Authorization (Must Have)
US Citizens
Green Card Holders
H1B Transfer Candidates
No OPT/CPT
About The Role
We are seeking a highly experienced AI Engineering Lead with strong expertise in Generative AI, LLMs, and Multi-Agent Systems to drive innovative AI solutions.
In this role, you will lead engineering teams, design scalable GenAI applications, and architect next-generation multi-agent AI systems to solve complex business challenges. This is an opportunity to work on cutting-edge AI technologies while influencing technical direction and delivery at scale.
Required Skills & Experience
12+ years of software engineering experience building enterprise applications/systems
2+ years of hands-on experience in Generative AI / LLMs, especially multi-agent systems
Strong expertise in Python, LangGraph, and SQL (Must Have)
Experience architecting and deploying GenAI solutions on Azure, AWS, or GCP
Hands-on experience with AI developer tools such as Claude Code, Codex, Cursor, Windsurf, or similar
Experience with AI observability & evaluation tools like LangSmith, Langfuse, or equivalent
Strong Understanding Of
RAG (Retrieval-Augmented Generation)
Agentic workflows
Model evaluation & LLM-as-a-Judge
CI-integrated evaluation pipelines Strong communication skills with the ability to collaborate effectively with business SMEs and stakeholders
Key Responsibilities
Lead the design and delivery of GenAI / Multi-Agent AI solutions for enterprise customers
Build and own the technical roadmap aligned with business objectives
Design multi-agent architectures, including supervisor-router patterns and dynamic agent routing
Develop, deploy, and optimize LLM-based applications using Python, LangChain/LangGraph, and SQL
Implement RAG systems, evaluation pipelines, and observability frameworks
Deploy and scale AI applications on Azure, AWS, or GCP with strong CI/CD practices
Mentor engineering teams and drive technical excellence & best practices
Stay updated with advancements in LLMs, Agentic AI, multimodal models, evaluation methods, and reasoning frameworks
What We Re Looking For
We are looking for a hands-on technical leader who combines strong software engineering, GenAI expertise, architecture skills, and leadership capabilities to build and deliver innovative AI solutions at enterprise scale.
Show more Show less
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