AI Engineer, Need local (NYC/NJ)

TechVirtue LLC
New York, US
On-siteCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Conduct R&D on AI/ML technologies
  • Deploy AI/LLM applications
  • Explore and implement AI technologies
  • Stay current on AI trends
  • Evaluate third-party AI solutions
Typical background
Experience in AI/ML development

Transferable backgrounds

  • Coming from AI Research
  • Coming from Data Engineering
  • Coming from DevOps

Skills & requirements

Required

PythonApisML FrameworksAI ToolsLlmsEmbeddingsVector DatabasesCloud Services

Preferred

Prompt EngineeringModel EvaluationAI Architecture DesignData PreparationSynthetic Data Generation

Stack & domain

Ai/ml TechnologiesArchitecturesAi/llm And Agentic ApplicationsProof-of-concept DemonstrationsTraditional AiGen AiAgentic AiAi TrendsThird-party Ai SolutionsModel PerformanceSafetyOperational ReadinessAi System ArchitectureCloud EnvironmentsR&dPrompt EngineeringModel EvaluationAi Architecture DesignData PreparationSynthetic Data GenerationApi Design And DevelopmentPythonApisMl FrameworksAi ToolsGithub CopilotCodexClaude CodeLangchainAdkChatgptMs CopilotLlmsEmbeddingsVector DatabasesCloud ServicesAWSGoogle Cloud PlatformAIMachine LearningData Science

About the role

Original posting from TechVirtue LLC

Role: AI Engineer

Location : Need local (NYC/NJ)

Must - Artificial Intelligence Developer, Machine Learning Engineer, Python, LLMs, OpenAI, Prompt Engineering, Vector Database, API Design and Development

Skills

  • Programming & Frameworks: Python, APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, MS Copilot).
  • AI/ML Systems: LLMs (OpenAI GPTs, Google AI, Claude), embeddings, and vector databases.
  • APIs: Building and managing integrations.
  • Core Competencies: Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
  • Data: Preparation and generation.
  • Cloud Services: AWS and Google Cloud Platform.

Roles & Responsibilities

Responsibilities

  • Conduct R&D on AI/ML technologies and architectures.
  • Deploy AI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
  • Explore and implement traditional AI, Gen AI, and Agentic AI.
  • Stay current on AI trends and evangelize emerging technologies.
  • Evaluate and pilot third-party AI solutions for scalability and business value.
  • Prototype solutions to inform future productization.
  • Collaborate on data preparation and synthetic data generation strategies.
  • Validate model performance, safety, and operational readiness.
  • Contribute to AI system architecture and manage workflows in cloud environments.
  • Collaborate with AI Business Partners.

Source: TechVirtue LLC careers

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