Senior AI Solutions Engineer - Hybrid (NJ/NYC)

Tech Mirrors

Rutherford (NJ)

Hybrid

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Tech Mirrors is seeking a Senior AI Solutions Developer to drive prototype to production AI-enabled workflows and integrations. You will collaborate with business teams, application groups, and domain experts to design, prototype, and iterate on AI-enabled solutions in a hybrid Rutherford, NJ setting.

You will build rapid prototypes, validate technical feasibility, and contribute to governance and security considerations while coordinating with architecture, data, security, and platform teams

Qualifications

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.
  • 5 to 8 years of experience in software development, application development, systems engineering, or related engineering roles.
  • Strong proficiency in Python.
  • Strong experience with APIs, system integration, and service-based architectures.

Responsibilities

  • Develop AI-enabled workflows, assistants, agents, automations, and features in collaboration with stakeholders.
  • Prototype rapidly and test ideas against real business processes and enterprise environments.
  • Translate prototype learnings into patterns, implementation considerations, and governance inputs for the AI CoE.
  • Move successful prototypes toward scalable delivery by partnering with multiple teams.

Skills

Python
APIs
SQL
AI-enabled apps
Orchestration
Security & compliance
Stakeholder comms
Prototyping
Debugging/Observability

Education

Bachelor’s degree or equivalent

Tools

FastMCP
LangGraph
LangSmith
OpenTelemetry
Weights & Biases

Job description

Tech Mirrors is seeking a Senior AI Solutions Developer to drive prototype to production AI-enabled workflows and integrations. You will collaborate with business teams, application groups, and domain experts to design, prototype, and iterate on AI-enabled solutions in a hybrid Rutherford, NJ setting.

You will build rapid prototypes, validate technical feasibility, and contribute to governance and security considerations while coordinating with architecture, data, security, and platform teams

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