Collaboration.Ai is currently in search of a Senior Backend Engineer with a focus on Data Engineering and AI/LLM systems. This role is pivotal in architecting and building scalable, robust, and secure backend systems that will power intelligent applications. The company, headquartered in Minneapolis, MN, offers a unique opportunity for seasoned engineers to influence key backend development as they integrate AI technologies within their workflow.
Key Responsibilities
In this role, you will be responsible for several critical functions that are central to backend architecture and development:
Backend Architecture & Development:
Design, develop, and maintain high-performance backend systems, microservices, and robust data pipelines.
Lead the creation of solutions for raw data capture which includes web scraping, data processing, cleaning, and transformation to prepare data for LLM/Agent consumption.
Develop APIs for data access, processing, and integration with frontend applications and the AI/LLM systems.
Help contribute to the overall backend infrastructure and data platform scalability.
Data Engineering & Pipeline Optimization:
Build and optimize data pipelines to ensure efficient data ingestion, processing, and storage.
Work with diverse data storage technologies such as RDBMS, NoSQL, GraphDBs, and vector/RAG storage solutions.
Implement data quality checks and monitoring measures to maintain data integrity and reliability.
Focus on optimizing pipelines for performance, scalability, and cost-effectiveness.
AI/LLM System Integration:
Develop backend services that incorporate AI & LLM models and related frameworks.
Design data flows to facilitate the deployment, monitoring, and scaling of AI/LLM applications.
Collaborate with AI/ML engineers to fine-tune data pipelines and infrastructure for AI workloads.
Security & Compliance:
Implement security best practices for backend systems and data handling, ensuring the system's integrity and data security.
Work alongside DevOps and security teams to conform to the relevant standards like NIST frameworks and SOC2 compliance.
Set data access controls and security measures to safeguard sensitive information.
Mentorship & Collaboration:
Mentor junior engineers and engage in code reviews and architectural discussions.
Collaborate seamlessly with cross-functional teams, including frontend, AI/ML, and product staff, operating in an agile environment.
Champion best practices throughout backend development, data engineering, and security processes.
Required Skills and Qualifications
To thrive in this position, candidates are expected to possess a strong educational background and significant professional experience:
A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
A minimum of 7+ years of professional experience in backend development, with demonstrated expertise in Python and knowledge of strongly typed languages like Kotlin, Java, Go, or Rust.
Extensive familiarity with data engineering principles, proven experience in constructing robust data pipelines, and solid capabilities in designing scalable and secure backend systems and microservices.
Knowledge of containerization technologies such as Docker and Kubernetes, along with modern deployment practices.
Proficiency with various persistence technologies, including RDBMS, NoSQL, and GraphDBs.
A solid grasp of cloud platforms including AWS, Azure, or GCP.
Preferred Qualifications
While the basic qualifications may set the stage, preference will be given to candidates who can demonstrate deeper expertise:
Significant experience with AI/LLM system integrations and agentic software development.
Background in regulated environments requiring NIST-53 compliance.
Familiarity with web scraping technologies and techniques to extract data efficiently.
Leadership qualities in architecting enterprise-grade backend and data solutions.
Experience with data streaming technologies, such as Kafka or Kinesis. An advanced degree in relevant fields could also serve as an asset.
Salary and Benefits
While specific salary details are not provided, the role is described as a full-time position with competitive pay. As a Senior Backend Engineer, you can expect to earn based on the industry standards for similar roles, considering your experience and expertise in backend systems, data engineering, and AI technologies. The opportunity to work remotely from anywhere in the world adds significant flexibility, which is increasingly appealing to many candidates today.
Company Culture and Values
Joining Collaboration.Ai means becoming part of a team at the forefront of AI innovation. The company's culture emphasizes collaboration, creativity, and technical excellence. They are looking for passionate individuals who are eager to tackle complex data and scaling challenges, contributing to the design and implementation of data-driven products.
Conclusion
If you are a driven and experienced backend engineer ready to leverage your skills in a challenging and rewarding role, Collaboration.Ai invites you to apply. This position is not just about performing tasks; it involves driving change, mentoring peers, and being part of a revolutionary approach to AI technologies. Don't miss this opportunity to make a significant impact on the future of AI!
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
