Senior Software Engineer, AI Platform

Job Description

Job Title: Senior Software Engineer, AI Platform

Join our innovative and rapidly growing team as a Senior Software Engineer specializing in our AI Platform. We are a leading technology company at the forefront of AI innovation, dedicated to building cutting-edge solutions that transform industries. We’re looking for passionate, skilled engineers who thrive in a fast-paced, collaborative environment and are eager to make a significant impact.

As a Senior Software Engineer on our AI Platform team, you will be instrumental in designing, developing, and optimizing the core infrastructure that powers our artificial intelligence and machine learning initiatives. You will work on highly scalable, robust, and performant systems that enable our data scientists and researchers to build, train, and deploy AI models with unprecedented efficiency and reliability.

Key Responsibilities

• Design and Implement: Architect, develop, and maintain highly scalable, fault-tolerant, and performant backend services and APIs for AI model training, inference, and lifecycle management.
• Platform Development: Contribute to the development of our core AI platform, including MLOps tools, data pipelines, model registries, and deployment frameworks.
• Performance Optimization: Identify and resolve performance bottlenecks, ensuring optimal efficiency and resource utilization across our distributed systems.
• Collaboration: Work closely with AI researchers, data scientists, product managers, and other engineering teams to translate research prototypes into production-grade systems.
• System Reliability: Ensure the reliability, security, and maintainability of our platform through robust testing, monitoring, and on-call rotations.
• Technical Leadership: Provide technical guidance, conduct code reviews, and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Innovation: Stay abreast of the latest advancements in AI/ML, cloud computing, and distributed systems, and propose innovative solutions to complex challenges.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience in software development, with a strong focus on backend systems, distributed computing, or platform engineering.
• Expertise in Programming: Proficient in at least one modern programming language such as Python, Go, Java, or C++. Python is highly preferred.
• Cloud Platforms: Solid experience with major cloud providers (e.g., AWS, Azure, GCP), including understanding of services like compute (EC2, GCE), storage (S3, GCS), and networking.
• Containerization & Orchestration: Hands-on experience with Docker and Kubernetes for deploying and managing microservices.
• Distributed Systems: Strong understanding of distributed system design principles, concurrency, and fault tolerance.
• Data Technologies: Experience with various database technologies (SQL/NoSQL) and data streaming platforms (e.g., Kafka, Kinesis).
• Software Engineering Fundamentals: Excellent grasp of data structures, algorithms, object-oriented design, and software design patterns.

Preferred Qualifications

• Experience working with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Sagemaker).
• Knowledge of distributed data processing frameworks like Apache Spark or Ray.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Proven track record of building and scaling high-performance APIs and services.
• Contributions to open-source projects related to AI, machine learning, or distributed systems.

Skills & Competencies

• Problem-Solving: Exceptional analytical and problem-solving skills with a proactive approach to identifying and addressing challenges.
• Collaboration & Communication: Strong interpersonal skills with the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Adaptability: Ability to thrive in a dynamic, fast-paced environment, prioritizing and managing multiple tasks effectively.
• Continuous Learner: Passion for learning new technologies and staying current with industry trends.
• Ownership: A strong sense of ownership and accountability for the systems you build.

Benefits & Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance plans.
• Unlimited Paid Time Off (PTO) and paid holidays.
• Generous professional development budget for conferences, courses, and certifications.
• 401(k) matching program.
• Wellness programs and gym membership reimbursements.
• Flexible work environment and remote options (where applicable).
• Paid parental leave.
• Opportunity to work on cutting-edge AI technologies and make a significant impact.

About [Company Name]

[Company Name] is pioneering the future of artificial intelligence. Our mission is to empower businesses and individuals with intelligent solutions that drive efficiency, foster innovation, and create new possibilities. We are a diverse team of brilliant minds, united by a shared passion for technology and a commitment to excellence. We believe in fostering an inclusive culture where every voice is heard, and every idea is valued. Join us and be part of a team that’s shaping the world with AI!

Application Process

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. The selection process typically involves an initial resume screening, a technical assessment, and a series of interviews focusing on technical skills, problem-solving abilities, and cultural fit.