AI Platform Engineer

Posted Yesterday
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Mumbai, Maharashtra, IND
In-Office
Mid level
Artificial Intelligence • Software
The Role
The AI Platform Engineer at Accrete will design and maintain scalable backend services, develop platform infrastructure, and collaborate with ML teams to enhance AI products.
Summary Generated by Built In

Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency

The Role

Accrete is hiring an AI Platform Engineer on our Machine Learning team. This role focuses on building the systems, infrastructure, and services that power our AI-driven products.

Depending on the team, you may work on foundational platform infrastructure, backend services, model deployment systems, or the tooling that enables our ML researchers and product teams to move quickly and reliably.

This is an ideal role for engineers with strong Python experience who enjoy building scalable systems and collaborating across product, research, and engineering teams.

What You’ll Do
  • Design, build, and maintain scalable backend services and APIs in Python
  • Develop platform infrastructure and internal services supporting AI products
  • Build and optimize containerized applications using Docker and Kubernetes
  • Collaborate with ML, research, and product teams to support the development and deployment of AI models
  • Improve system reliability, observability, and performance in production environments
  • Contribute to CI/CD pipelines and infrastructure automation
  • Participate in code reviews and help establish engineering best practices
What We’re Looking For
  • 3+ years of professional software engineering experience
  • Strong programming skills in Python and experience writing production-quality code
  • Experience building backend systems, APIs, or distributed services
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with containerization and infrastructure tooling (Docker, Kubernetes, or similar)
  • Strong understanding of software engineering fundamentals including system design and data modeling
  • High ownership mindset with the ability to identify problems and drive solutions
  • Genuine curiosity about AI, emerging technologies, and building high-impact systems
Nice to Have
  • Experience working with machine learning pipelines or model deployment
  • Exposure to MLOps, data engineering, or ML infrastructure
  • Familiarity with workflow orchestration tools such as Airflow, Prefect, or Dagster
  • Experience collaborating closely with ML or research teams
Core Values & Expectations:Impact

You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. 

Collaboration

You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes.

Passion for AI & Innovation

You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work.

Company Benefits

  • Competitive Salary: Aligned with experience and market standards
  • Mediclaim: 10 Lacs coverage for you and your family
  • Flexible PTO & Hybrid Work: Take time off when needed and enjoy remote flexibility per company guidelines
  • Growth & Development: Access professional learning opportunities and career advancement support
  • Onsite Perks: Enjoy catered lunches, snacks
  • Team Bonding: Company-sponsored social events to connect and unwind

Skills Required

  • 3+ years of professional software engineering experience
  • Strong programming skills in Python and experience writing production-quality code
  • Experience building backend systems, APIs, or distributed services
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with containerization and infrastructure tooling (Docker, Kubernetes, or similar)
  • Strong understanding of software engineering fundamentals including system design and data modeling
  • Genuine curiosity about AI, emerging technologies, and building high-impact systems
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The Company
HQ: New York, NY
79 Employees
Year Founded: 2017

What We Do

Accrete is a Prime Defense Contractor delivering configurable dual-use AI solutions that automate complex analytical work to both government and commercial customers with a focus on defense, intelligence, and cybersecurity.

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