Senior Software Engineer

Overview

As a Senior Software Engineer specializing in building data driven applications, you will play a key role in designing, building, and scaling Senseloaf’s AI-powered recruiting platform. You’ll work closely with product, design, and engineering teams to turn complex recruiting workflows into simple, intelligent experiences.

Key Responsibilities:

• Develop, improve, and extend Senseloaf’s AI applications capabilities.
• Extend, architect and own the backend infrastructure.
• Build and scale integrations with a wide range of external platforms and tools.
• Design and implement REST APIs for our internal backend systems and third-party integrations.
• Build real-time data flows, event-driven pipelines, and high-performance API systems.
• Leverage cloud platforms like AWS, utilizing technologies like Docker and Kubernetes to deploy, manage, and scale services securely and efficiently.
• Rigorously test, validate, and optimize the performance and reliability of features to meet high standards of accuracy, latency, and scalability.
• Implement clean, maintainable system designs and contribute to a strong engineering culture with code reviews, documentation, and best practices.
• Set up and maintain CI/CD pipelines to enable fast, safe, and repeatable deployments
• Working with NoSQL database services like MongoDB and Vector Database.
• Mentor engineers, conduct code reviews, and shape engineering best practices.
• Implement SOC2-aligned authentication, encryption, and access control patterns.
• Lead experiments, prototypes, and rapid iterations on new capabilities.

Required Skills & Qualifications: 

• 4-6 years of hands-on experience building and scaling Data driven applications in production.
• Strong proficiency in Python, building REST APIs and WebSocket-based services, using asynchronous programming patterns and streaming architectures with FastAPI.
• Experience with scaling background tasks processing using Celery and Redis.
• Experience deploying Dockerized applications on AWS using services such as Lambda, EC2, EKS, or ECS.
• Strong familiarity with Git and platforms like Bitbucket.
• Solid understanding of NoSQL databases (MongoDB preferred) and experience working with vector databases.
• Ability to work with data for analysis and decision-making, including designing aggregation pipelines, searching and filters queries, writing analytical queries, and developing dashboards/ monitoring systems to derive actionable insights.
• Experience working with monitoring and logging framework/tools such as open telemetry, Grafana, CloudWatch, or equivalent.
• (Nice to have) Familiarity with RAG pipelines, prompt engineering, tool-calling/function-calling, and working with proprietary/ open-source LLM models.

Why Senseloaf AI?

• Work on cutting-edge AI products.
• High ownership
• Direct impact on product direction & roadmap
• Collaborative, curious, and execution-focused culture