Backend Engineer, AI

Company Overview:

Procurement Sciences is at the forefront of transforming the multi-billion-dollar government contracting industry with Awarded AI, our cutting-edge platform designed to help businesses excel in government sales. We simplify complex processes, drive revenue growth, and deliver real cost savings through unmatched efficiency. As a leading venture-backed SaaS company founded by seasoned GovCon experts, we are not just participants in the AI revolution; we are shaping it by solving the industry’s toughest challenges. Our “One Team, One Fight” culture values creativity, accountability, and forward-thinking, and we invite driven builders and innovators to help us develop high-performing teams. Ranked among the top 10 percent of fastest-growing SaaS companies and on a clear path to becoming a unicorn, we are seeking top talent to join our early team and play a key role in building the next great AI software company.

Job Description: We are seeking a Backend Engineer to build the infrastructure and systems that power our AI/ML features in production. In this role, you will design and implement scalable APIs, services, and monitoring systems that enable our ML team to deploy models reliably at scale. You will focus on the platform layer that makes AI workflows fast, reliable, and observable, working closely with our ML engineers to translate their models into production-ready services that serve thousands of users.

Key Responsibilities:

• Build scalable APIs and microservices that serve ML models in production with low latency and high availability.

• Work with the product engineering teams to implement reliable integrations with LLM APIs (Claude, GPT, Gemini).

• Implement monitoring, measurement, and observability systems for AI workflows to ensure reliability and performance.

• Build the integration points between the AI/ML Platform stack and the core application, supporting product development and long term technological investment.

• Support data pipeline development and maintenance that enable ML model training and inference.

Ideal Candidate:

• Strong systems thinking with experience designing scalable backend architectures.

• Experienced in SaaS environments and understands the operational challenges of serving ML models in production.

• Pragmatic engineer who prioritizes reliability and performance over experimenting with the latest frameworks.

• Collaborative mindset with strong communication skills.

Required Experience:

• 5+ years building scalable backend systems (Python, NestJS, etc.).

• Experience integrating external APIs at scale, including rate limiting, retry logic, and error handling.

• Experience with containerization (Docker) and cloud platforms (GCP, or Azure).

Desired Experience:

• Experience with event-driven architectures and async processing patterns.

• Knowledge of cost optimization strategies for cloud-based AI services.

• Experience serving ML models in production (MLflow, TensorFlow Serving, or similar platforms).

• Familiarity with vector databases (Pinecone, Vespa, Qdrant) from an infrastructure perspective.

Requirements:

• U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.

• While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.

Compensation and Benefits:

• Competitive salary with stock options in a rapidly growing, venture-backed company.

• Comprehensive health plan, ensuring you and your loved ones are well taken care of.

• Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.

• Extensive professional development opportunities, providing a fast track for career advancement.

AI policy Notice:
We want you to get the chance to know us in the interview process and for us to learn as much as we can about you, too. To make this possible and to ensure fairness for all our candidates, we have a no-exceptions policy on AI usage and augmentation during interviews. While we are an AI first company, this does mean we prohibit any AI tooling during the interview process unless otherwise explicitly allowed (such as large language models, code suggestion software, or AI assistants) to generate, refine, or suggest answers, solutions, or code, regardless of the format (written, spoken, or coded). We want to get to know you, your experiences, and qualifications genuinely and directly and the best way to do this is to keep it just between us.

To keep the interview fair for all, we reserve the right to ask follow-up questions or request you to clarify or elaborate on your solutions without the aid of external tools to validate that the answers provided genuinely reflect your own skills and experience. Violation of this code of conduct will result in the immediate termination of your candidacy.

Background Notice:

Background Check Required. As part of our employment process, a background check is required. This may include a review of your credit history, criminal records, and employment verification, conducted in compliance with the Fair Credit Reporting Act (FCRA). By applying, you acknowledge and consent to this process.