Senior Associate, AI Application Engineering (Backend Engineer)

Qualifications

• Bachelor's degree in computer science, engineering, or a related technical field
• 2+ years of experience developing web applications
• You think data first, and full stack second, but none of it scares you
• Competency in backend programming languages – especially Python
• Strong knowledge in designing API interfaces
• Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
• Experience with server-side technologies such as Node.js, FastAPI, Django, Flas
• Experience with Cloud platforms and services (AWS, Azure, GCP, Kubernetes) via Terraform Automation
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
• Experience developing data pipelines
• Experience with ETLs - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other
• Experience using Pandas, Dask, Arrow, among others
• Use Git as your main tool for versioning and collaborating
• Experience with DevOps, CI/CD, Github Actions
• Exposure to LLMs, Prompt engineering, Langchain a plus
• Strong interpersonal and communication skills
• Curiosity, proactivity and critical thinking
• Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Knowledge of data architecture, database schema design and database scalability
• Agile development methodologies

Responsibilities

• Design, develop, and maintain cloud-based AI applications, leveraging full-stack technology to deliver high-quality, scalable, and secure solutions
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors
• Influence, educate and directly support the AI application engineering capabilities of our clients
• Travel is required (30%)

Benefits

• Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package
• Some local governments in the United States require a good-faith, reasonable salary range be included in job postings for open roles
• In New York City, the good-faith, reasonable annualized full-time base salary range for this role is between $122,500 - $150,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level
• For all other U.S. locations, the good-faith, reasonable annualized full-time base salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level
• 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date

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