The HR Folks

• Own and Maintain our interface. Built in Go, React and an event-driven architecture under the hood
• We work with complex data types and relations. Design our database (postgres) and maintain our S3 buckets.
• Build an infra which will work super-fast on cloud servers and runs reliably on-prem
• Develop a user-centric platform by helping us with ruthless prioritization of features
• Have an eye for detail especially when it comes to visual appeal
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What you bring to the table

• You have full-stack experience with relevant technologies (Go, React, Typescript)
• You know how to go from 0-to-1
• You have strong communication skills
• You thrive in a collaborative team setting

What You Will Do

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Develop robust, low-latency pipelines integrating computational geometry methods, mechanical engineering heuristics, and graph-based reinforcement learning algorithms to address multi-objective optimization problems

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Own the creation and refinement of computational geometry features utilizing low-level CAD kernels (Python/C++)

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Work closely with engineers to directly observe and enhance their daily workflows using your algorithms

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Collaborate with the founding team to translate customer insights into actionable product specifications, shaping the strategic product roadmap

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Engage proactively with customers, deeply understanding their pain points to ensure our solutions meaningfully address their challenges

What We're Looking For

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3-7+ years of hands-on experience with geometry kernels and low-level C++ operations

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Experience building and deploying reinforcement learning algorithms and machine learning pipelines

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Excellent communication skills, with a proven ability to clearly articulate technical ideas, trade-offs, and solutions

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[Bonus] Solid knowledge of mechanical engineering fundamentals, including GD&T (Geometric Dimensioning and Tolerancing)

Key Responsibilities

• Produce accurate 2D mechanical drawings of CNC-machined parts and cast/casted components
• Apply GD&T per ASME Y14.5 standards to define form, fit, and function of parts
• Collaborate with manufacturing, quality, and engineering teams to iterate on designs
• Review and revise drawings based on feedback and test results
• Maintain drawing archives and ensure version control
• Support design reviews and provide technical input on manufacturability

Required Qualifications

Technical Expertise

• 2–7 years of hands-on experience in 2D mechanical drafting, with a primary focus on CNC machining and casting
• Proficient in SOLIDWORKS for creating and editing detailed drawings
• Strong working knowledge of GD&T principles
• ASME Y14.5 certification is strongly preferred but not mandatory

In this role, you will:

• Own the development of secure backend services and responsive frontend experiences end-to-end using Go, React, and event-driven architectures
• Design and optimize database systems that handle complex manufacturing data (a mix of 3D and 2D) with PostgreSQL and AWS RDS
• Build security-first systems with proper authentication, authorization, and secret management practices
• Architect event-driven systems that process real-time manufacturing data and enable seamless workflows
• Work directly with engineers to understand their daily challenges and build tools that meaningfully improve their operations
• Ensure all systems are production-ready with comprehensive monitoring, logging, and CI/CD pipelines

Your background looks something like:

• 3-7+ years of engineering experience building full-stack applications (ideally in Go and React)
• Strong experience with event-driven architectures, message queues, and distributed systems
• Proven track record managing production databases including schema design and performance optimization
• Deep understanding of security best practices and production deployment strategies
• Experience with cloud platforms like AWS and containerization technologies
• Familiar with self-hosting (we work w on-premises deployment a lot)
• Flexibility to work across multiple languages (Go, Python, React, and potentially Rust)
• [BONUS] You have worked with Electron and are familiar with deploying desktop apps on Windows

Role Overview

As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.

Specifically, you’ll:

• Develop and fine-tune Speech to Speech machine learning models
• Experiment with data-driven solutions to enhance AI performance.
• Work on feature engineering and dataset preparation to train robust models.
• Collaborate with the team to evaluate and deploy models into production.

What we’re looking for:

• Strong problem-solving skills, paired with a passion for learning.
• 1-3 years of experience in Data Science and related fields.
• Experience with speech processing or NLP.
• Proficiency in Python and familiarity with data science libraries.
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with working on datasets and data preprocessing techniques.

Benefits And Perks:

• You’ll be joining an early stage startup building foundational Speech models
• Being a part of a small, high talent density team would accelerate your career growth
• You'll wear multiple hats, own meaningful projects, and build things that ship.