Senior Backend AI Engineer (NYC Hybrid) at Funded.club

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

180000.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, Celery, AWS, AI, OpenAI, LangChain, Vector Databases, CI/CD, Microservices, Event-Driven Architectures, Async Processing, Observability Tools, Startup Experience, Technical Writing, Security Compliance

Industry

Human Resources Services

Description

About Tru Identity Tru Identity is using AI to make importing into the US simple. We help importers, marketplaces and logistics providers automate all the messy compliance work that slows trade down — saving time, money and endless frustration. We’ve already built a great product, have happy customers and are growing fast with government contracts secured. Tru Identity is reimagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year. Joining now means you’ll be part of a small, sharp team with huge impact. You’ll have real ownership, a voice in shaping the product and a chance to help build something transformative from the ground up. We move quickly, stay focused, and value grit and creative problem-solving above all else. About the position We’re looking for a seasoned Backend Engineer to lead architecture and development of scalable, intelligent systems. In this role, you’ll design and build APIs and distributed systems in Python/Django, manage async workflows with Celery, and deploy production-grade services on AWS. You’ll also contribute to AI-powered features using tools like OpenAI, LangChain, and vector databases. Requirements Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and maintain reliable CI/CD pipelines Develop intelligent, AI-powered features — Integrate tools like OpenAI, LangChain, and vector databases to deliver production-grade AI functionality Develop async processing systems and distributed task queues Integrate AI capabilities using OpenAI, LangChain, or vector databases Lead and mentor junior engineers through code reviews and technical guidance Build CI/CD pipelines (GitHub Actions, Bitbucket, Jenkins) Write clean, tested, and maintainable code Participate in Agile ceremonies and help drive technical strategy Experience 5+ years of deep backend development experience Eligible to obtain US government clearance (background check required) Expert in Python/Django with focus on performance and scalability Skilled in Celery and async task processing Proficient in AWS infrastructure and cloud management Experience designing and deploying AI features using LLMs, LangChain, and RAG pipelines Hands-on expertise deploying, scaling and monitoring AI/ML models in production Strong CI/CD experience (GitHub Actions, Bitbucket, Jenkins) Familiar with observability tools (Sentry, Prometheus, etc.) Knowledge of microservices and event-driven architectures Experienced building systems and processes from scratch Background in startup and fast-paced environments Contributions to open source or technical writing Highly Preferred Implemented security compliance, both for enterprise or for US Government projects Has a current US Government security clearance Compensation and Perks (value adds) $140 - $180K USD annually Generous PTO and holiday schedule 100% paid healthcare HSA benefits $1000 WFH stipend per year Company equipment provided #LI-JM1 #LI-Hybrid Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

Responsibilities

Lead the architecture and development of scalable backend systems, including designing and building APIs and distributed systems. Contribute to AI-powered features and manage AWS infrastructure for production-grade services.