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AI Software Engineer

Job Summary:

We’re looking for an AI Software Engineer (Full-Stack) to lead the development and deployment of next-generation AI features across our platform. You’ll focus primarily on AI while taking ownership of API design, database architecture for AI workloads, DevOps/infrastructure for model deployment, and embedded/edge considerations.

You’ll work closely with our dedicated DB team, API team, frontend team, mobile team, and QA team, receiving guidance from management on product ideas and roadmap priorities. This role will take the lead on AI-related APIs and collaborate especially tightly with the DB and API teams to ensure seamless integration.

Key Responsibilities

  • Shape and execute the AI roadmap, including computer vision and generative AI/LLMs (e.g., automated incident summaries, natural-language fleet queries, RAG pipelines).
  • Take ownership of AI-focused APIs: design, develop, and maintain scalable RESTful APIs using Java and Spring Boot.
  • Own AI data architecture and pipelines using Oracle and PostgreSQL (including vector extensions such as pgvector for embeddings and semantic search).
  • Fine-tune, optimize, and deploy models (YOLO variants, open-source LLMs such as Llama/Mistral, or API-based solutions) for cloud and edge/embedded inference.
  • Drive DevOps and infrastructure for AI systems (MLOps pipelines, monitoring, A/B testing, Docker/Kubernetes, cloud platforms).
  • Collaborate on embedded/edge AI requirements and proof-of-concepts for in-vehicle processing.
  • Build end-to-end AI features in partnership with frontend, mobile, and QA teams: from video/sensor ingestion → AI processing → storage → API exposure → consumption.
  • Work hand-in-hand with the DB and API teams on schema design, performance optimization, and integration standards.

Required Qualifications:

  • Strong software engineering experience with a full-stack/backend emphasis.
  • Strong production Java experience and Spring Boot (or Spring Framework) for building production RESTful APIs and microservices.
  • Deep SQL proficiency and experience designing relational schemas (Oracle and PostgreSQL).
  • Hands-on AI/ML experience: computer vision (YOLO, Ultralytics, OpenCV, PyTorch/TensorFlow) and LLMs (fine-tuning, prompting, RAG, LangChain/Hugging Face).
  • Strong Python skills for ML prototyping, scripting, and tooling.
  • Experience with DevOps and infrastructure for AI/ML systems (Docker, Kubernetes, AWS/GCP/Azure, CI/CD).
  • Proven ability to lead technical design and collaborate effectively across teams.

Preferred Qualifications:

  • Excellent communication skills and comfort owning projects end-to-end.
  • Experience in fleet telematics, video safety, IoT, or automotive domains.
  • Familiarity with enterprise Java environments, large-scale Oracle deployments, and embedded/edge AI.
  • Background in real-time video processing or on-device inference.
  • Track record of successfully delivering AI features in a team environment.

What We Offer:

  • Full-Time
  • Hybrid/Remote
  • Competitive salary and comprehensive benefits package.
  • Real-world impact on road safety and fleet operations nationwide.
  • Collaborative, entrepreneurial environment with room to shape our AI future.
  • Opportunity to build and lead an AI team as we scale.

Location Details:

While we prefer hybrid work with regular collaboration at our Jericho, NY office, we’re open to fully remote arrangements (including international candidates) with quarterly on-site visits for the right candidate.

International Candidates: Remote (We work with Employer of Record partners for international employees. However, for this U.S.- based role, candidates must already possess independent work authorization.)

This role is ideal for someone who wants to focus deeply on AI while leading the critical integration points (APIs, data, DevOps, and embedded) that make those features production-ready and scalable. If you’re excited about driving AI innovation in telematics with strong team support around you, we’d love to hear from you!

If you’re interested in this opportunity to join our team, please email your resume to: hr@ftsgps.com