Artificial Intelligence Engineer Job at TripleScreen Search & Staffing in New Yo
TripleScreen Search & Staffing, New York, NY, United States
Senior AI Software Engineer (Agentic Systems)
New York, NY | Hybrid
We are partnering with a highly respected technology organization to hire a Senior AI Software Engineer who will help design and build the next generation of internal AI tooling for a high-profile trading and research environment.
This role sits at the intersection of AI systems engineering, Generative AI, and developer productivity, focused on building intelligent systems that dramatically reduce operational friction for engineers, quantitative researchers, and traders.
The team is building production-grade AI agents and LLM-powered applications that automate complex workflows, improve knowledge sharing, and accelerate software development across the organization.
Unlike many AI roles that focus on incremental improvements, this position involves greenfield development of AI systems that do not yet exist. You will design autonomous AI tools that enable software engineers to work faster, triage problems more efficiently, and unlock higher-value research and development work.
The group is intentionally seeking a senior-level engineer who has already built complex AI-powered systems and can operate independently in a fast-moving, experimental environment.
What You’ll Be Doing
Architect and build autonomous AI agents and agentic systems capable of executing complex workflows across internal systems, APIs, and data pipelines
Design and implement LLM-powered applications and Retrieval-Augmented Generation (RAG) architectures using structured and permissioned data sources
Develop multi-agent systems, including agent orchestration layers, persistent agent memory, and inter-agent communication patterns
Translate ambiguous internal problems into reliable AI-powered automation tools that improve developer productivity
Implement safeguards to mitigate common LLM failure modes including hallucinations, prompt drift, and context management issues
Collaborate directly with software engineers, quantitative researchers, and trading teams to identify opportunities for automation and AI-driven efficiency
Evaluate and integrate emerging models, frameworks, and open-source tooling across the rapidly evolving Generative AI ecosystem
What Makes This Role Unique
Greenfield AI engineering: Design and build AI systems and developer tooling that do not yet exist
Direct impact: Your work will improve productivity across engineering, research, and trading teams
Agentic AI focus: Work on cutting-edge architectures including autonomous agents, multi-agent orchestration, and agent memory systems
Tool-forward culture: The team actively experiments with modern AI development environments and tools including Cursor and Claude
High-caliber environment: Work alongside experienced engineers and quantitative professionals solving complex technical problems
What We’re Looking For
Experience
5–10+ years of software engineering experience in production environments
Experience building AI-powered applications, Generative AI systems, or agentic AI platforms
Proven ability to design AI systems that operate with minimal human intervention
Comfortable operating independently in a greenfield and experimental engineering environment
Technical Skills
Experience building LLM-based systems, AI agents, or developer tooling powered by Generative AI
Strong understanding of Retrieval-Augmented Generation (RAG) and vector search architectures
Experience with vector databases such as Pinecone, Chroma, or pgvector
Familiarity with agent orchestration frameworks such as LangChain, LangGraph, or similar
Deep understanding of LLM behavior, prompt engineering, and production AI system design
Strong system architecture and engineering fundamentals
Technologies & Concepts
Python
Generative AI / LLM Applications
Retrieval-Augmented Generation (RAG)
Agentic AI / Autonomous Agents
Multi-Agent Systems
Vector Databases
Prompt Engineering
LangChain / LangGraph or similar frameworks
Ideal Profile
The ideal candidate is a senior engineer who has “been there, done that” with AI systems, and is excited about building the next generation of autonomous tooling that enables other engineers to work faster and smarter.
You are comfortable navigating ambiguity, experimenting with new technologies, and designing systems that operate with minimal human intervention.
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New York, NY | Hybrid
We are partnering with a highly respected technology organization to hire a Senior AI Software Engineer who will help design and build the next generation of internal AI tooling for a high-profile trading and research environment.
This role sits at the intersection of AI systems engineering, Generative AI, and developer productivity, focused on building intelligent systems that dramatically reduce operational friction for engineers, quantitative researchers, and traders.
The team is building production-grade AI agents and LLM-powered applications that automate complex workflows, improve knowledge sharing, and accelerate software development across the organization.
Unlike many AI roles that focus on incremental improvements, this position involves greenfield development of AI systems that do not yet exist. You will design autonomous AI tools that enable software engineers to work faster, triage problems more efficiently, and unlock higher-value research and development work.
The group is intentionally seeking a senior-level engineer who has already built complex AI-powered systems and can operate independently in a fast-moving, experimental environment.
What You’ll Be Doing
Architect and build autonomous AI agents and agentic systems capable of executing complex workflows across internal systems, APIs, and data pipelines
Design and implement LLM-powered applications and Retrieval-Augmented Generation (RAG) architectures using structured and permissioned data sources
Develop multi-agent systems, including agent orchestration layers, persistent agent memory, and inter-agent communication patterns
Translate ambiguous internal problems into reliable AI-powered automation tools that improve developer productivity
Implement safeguards to mitigate common LLM failure modes including hallucinations, prompt drift, and context management issues
Collaborate directly with software engineers, quantitative researchers, and trading teams to identify opportunities for automation and AI-driven efficiency
Evaluate and integrate emerging models, frameworks, and open-source tooling across the rapidly evolving Generative AI ecosystem
What Makes This Role Unique
Greenfield AI engineering: Design and build AI systems and developer tooling that do not yet exist
Direct impact: Your work will improve productivity across engineering, research, and trading teams
Agentic AI focus: Work on cutting-edge architectures including autonomous agents, multi-agent orchestration, and agent memory systems
Tool-forward culture: The team actively experiments with modern AI development environments and tools including Cursor and Claude
High-caliber environment: Work alongside experienced engineers and quantitative professionals solving complex technical problems
What We’re Looking For
Experience
5–10+ years of software engineering experience in production environments
Experience building AI-powered applications, Generative AI systems, or agentic AI platforms
Proven ability to design AI systems that operate with minimal human intervention
Comfortable operating independently in a greenfield and experimental engineering environment
Technical Skills
Experience building LLM-based systems, AI agents, or developer tooling powered by Generative AI
Strong understanding of Retrieval-Augmented Generation (RAG) and vector search architectures
Experience with vector databases such as Pinecone, Chroma, or pgvector
Familiarity with agent orchestration frameworks such as LangChain, LangGraph, or similar
Deep understanding of LLM behavior, prompt engineering, and production AI system design
Strong system architecture and engineering fundamentals
Technologies & Concepts
Python
Generative AI / LLM Applications
Retrieval-Augmented Generation (RAG)
Agentic AI / Autonomous Agents
Multi-Agent Systems
Vector Databases
Prompt Engineering
LangChain / LangGraph or similar frameworks
Ideal Profile
The ideal candidate is a senior engineer who has “been there, done that” with AI systems, and is excited about building the next generation of autonomous tooling that enables other engineers to work faster and smarter.
You are comfortable navigating ambiguity, experimenting with new technologies, and designing systems that operate with minimal human intervention.
#J-18808-Ljbffr