Senior Backend Engineer – AI & ML Specialization

About Logik

Are you driven to innovate? Are you energized by the excitement of building a high-growth startup with winning technology and proven product-market fit? Are you looking to join a team of A-players who keep customers first and take their work – but not themselves – seriously? 

Logik was founded in 2021 by the “godfathers of CPQ” – our CEO Christopher Shutts and our Executive Chairman Godard Abel, who together co-founded BigMachines, the first-ever CPQ technology vendor, in the early 2000s. Today, we’re reimagining what CPQ can and should be with our composable, AI-enabled platform that provides advanced configuration, transaction management, guided selling, and more. 

We’re a well-funded and fast-growing startup disrupting the CPQ space, with founders that created the category and a platform that’s pushing boundaries in configure-price-quote and complex commerce. 

We make the rules in CPQ, now come join Logik and rewrite the rules of your career. 

We're passionate about using the power of data to transform industries and solve complex problems. Our team is a diverse group of talented individuals who are driven by curiosity, creativity, and a shared vision of a better future.

We're looking for an exceptional AI Backend Engineer to join our Bangalore team and help us build the next generation of AI-powered solutions.

Position Summary:

As an Senior Backend Engineer – AI & ML Specialization Engineer, you will play a crucial role in designing and developing scalable, high-performance backend systems that support our AI models and data pipelines. You will work closely with data scientists, machine learning engineers, and other backend developers to ensure our platform delivers reliable, real-time insights and predictions.

Key Responsibilities:

• Design and develop robust, scalable backend services and APIs that handle large volumes of data and traffic.
• Implement data ingestion and processing pipelines to efficiently collect, store, and transform data for AI models.
• Develop and maintain efficient data storage solutions, including databases and data warehouses.
• Optimize backend systems for performance, scalability, and security.
• Collaborate with data scientists and machine learning engineers to integrate AI models into backend infrastructure.
• Collaborate with Devops to implement ML Ops and integrate the models and data engineering pipelines into highly available and reliable tech stacks.
• Troubleshoot and resolve technical issues related to backend systems and data pipelines.
• Stay up-to-date with the latest advancements in backend technologies and AI.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in backend development, with a focus on machine learning.
• Strong proficiency in Python and experience with popular frameworks such as Flask, Django, or FastAPI.
• Experience with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of date engineering, data pipelines and data processing frameworks such as Apache Airflow, Apache Spark, or Dask.
• Knowledge of ML Ops frameworks such as Kubeflow and experience with containerisation technologies such as Docker and Kubernetes.
• Knowledge of distributed computing and parallel programming.
• Excellent communication and problem-solving skills.
• Ability to work independently and as part of a team.

Preferred Skills:

• Understanding of AI concepts and machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• 3 + Years of experience with Java or Go is a plus.
• Experience with real-time data processing and streaming technologies.

What We Offer:

Competitive salary and benefits package.

Opportunity to work on cutting-edge AI projects.

Collaborative and supportive work environment.

Continuous learning and professional development opportunities.