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Lead Full-Stack AI Engineer
Job Overview
Location
Gurugram, Haryana
Job Type
Full Time
Date Posted
9 months ago
Additional Details
Job ID
24146
Job Views
92
Job Description
Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack 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 analytics application engineering capabilities of our clients
- Travel is required (30%)
- ABOUT YOU
Required - Master’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years at Senior or Staff level, or equivalent
- Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
- Experience with server-side technologies such as, Django, Flask, Fast API
- Experience with cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)
- 2+ years of Python expertise
- Use Git as your main tool for versioning and collaborating
- Experience with DevOps, CI/CD, Github Actions
- Experience with LLMs, Prompt engineering, Langchain
- Experience with workflow orchestration - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other
- Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
- Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition
- Curiosity, proactivity and critical thinking
- Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
- Strong knowledge in designing API interfaces
- Knowledge of data architecture, database schema design and database scalability
- Agile development methodologies
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