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MLabs

MLabs

www.mlabs.city

27 Jobs

69 Employees

About the Company

MLabs Consulting helps to setup project specification, implementation, management and maintenance of technical projects for AI, Fintech, Information Technology and more. We specialise in functional programming, compilers, AI, DevOps and full-stack development.

Listed Jobs

Company background Company brand
Company Name
MLabs
Job Title
Senior Full Stack Engineer
Job Description
**Job title** Senior Full Stack Engineer **Role Summary** Architect and build end‑to‑end features for AI‑enabled marketing and growth products, with a focus on highly interactive front‑end interfaces. Collaborate with ML engineers, product managers, designers, and customers to translate business requirements into intuitive web experiences while maintaining robust full‑stack integration with Go‑based APIs. **Expectations** - Lead independent feature development from data model to polished UI. - Deliver high‑quality, maintainable code and design patterns. - Communicate product and technical decisions clearly to cross‑functional teams. - Demonstrate resilience in ambiguous environments and a growth mindset. **Key Responsibilities** 1. Design and implement UI components and flows using TypeScript, React, HTML, CSS. 2. Build and maintain CRUD applications, ensuring seamless integration with Go APIs and database schemas. 3. Integrate complex ML models and AI agents into the user interface, working closely with ML teams. 4. Partner with product, design, and customer stakeholders to define requirements and iterate on solutions. 5. Own feature architecture, performance, accessibility, and responsive design across browsers/devices. 6. Mentor junior engineers on front‑end best practices and architectural principles. 7. Participate in code reviews, testing, and continuous delivery pipelines. **Required Skills** - 3–8 years of software engineering experience, predominantly front‑end. - Strong proficiency with TypeScript, React, HTML, CSS. - Solid understanding of CRUD application patterns and RESTful/GraphQL API design. - Experience working with Go‑backed services and data models. - Familiarity with AI/ML integration workflows (e.g., embedding models, inference APIs). - Ability to translate complex business logic into user‑friendly interfaces. - Excellent problem‑solving, communication, and collaboration skills. - Comfortable working remotely and managing self‑paced delivery. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - No mandatory certifications required; relevant industry badges (e.g., React, TypeScript) are a plus.
Canada
Remote
Senior
13-11-2025
Company background Company brand
Company Name
MLabs
Job Title
Founding Software Engineer
Job Description
Job title: Founding Software Engineer Role Summary: Own end‑to‑end development of scalable AI evaluation and data infrastructure, translating research prototypes into robust, distributed production systems that support frontier LLM and AI agent research. Expactations: Deliver clean, maintainable code and architecture that supports rapid iteration at breakneck speed, collaborating seamlessly across research, product, and design teams. Key Responsibilities: • Design and build scalable production systems (RL environments, APIs, human‑in‑the‑loop platforms). • Full‑stack ownership spanning Next.js dashboards, Node.js services, Python data pipelines, and distributed infra (Kafka, Kubernetes, Redis, Elasticsearch). • Convert research prototypes into reliable, distributed experiments. • Lead code reviews, design discussions, and resolve scalability and reliability challenges. • Collaborate with cross‑functional teams to ship high‑leverage features quickly. Required Skills: • Strong proficiency in TypeScript/JavaScript, Next.js, React, Node.js, and Python. • Experience with Kubernetes, Kafka, Redis, Elasticsearch, and cloud platforms (AWS, GCP). • Full‑stack mindset: ability to shift between front‑end UI, backend services, and distributed data infrastructure. • Strong code quality focus, code review discipline, and reliability mindset. • High drive, ownership orientation, and comfort with fast‑paced, high‑growth environments. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field OR equivalent professional experience (0–3 years). • Optional certifications: AWS Certified Solutions Architect, GCP Professional Cloud Architect, or similar.
San francisco, United states
On site
Fresher
13-11-2025
Company background Company brand
Company Name
MLabs
Job Title
Founding Full Stack Software Engineer
Job Description
Job title: Founding Full Stack Software Engineer Role Summary: Lead architect and developer of a scalable AI‑driven backend for autonomous cybersecurity agents. Build high‑performance web services, REST APIs, and micro‑services, and drive integration of large language models (LLMs) into secure, production‑ready systems. Expectations: • Deliver production‑grade code in a fast, iterative startup environment. • Own feature ownership from design through deployment and monitoring. • Collaborate cross‑functionally with product, data science, and security teams to define architecture and ship incremental improvements. Key Responsibilities: - Design, develop, and maintain modular, scalable Python services and RESTful APIs powering AI agents. - Build and optimize backend infrastructure using Docker, Kubernetes, and PostgreSQL for high throughput and low latency. - Integrate and serve LLMs and Agentic AI components, from post‑training pipelines to real‑time inference. - Analyze bottlenecks, implement performance tuning, and ensure reliability at scale. - Contribute to custom agent protocols, toolchains, and foundational security systems. - Employ Git workflows, CI/CD pipelines, and AI‑enhanced development tools to accelerate delivery. Required Skills: - 1–5 years as a software engineer at a notable tech company or YC startup. - Strong proficiency in Python, REST API design, and PostgreSQL database modeling. - Deep knowledge of AI agents, LLMs, and related libraries (e.g., HuggingFace, OpenAI). - Experience designing scalable micro‑service architectures and distributed systems. - Version control mastery (Git) and knowledge of CI/CD, Docker, Kubernetes. - Ability to leverage AI development tools (e.g., Cursor) for productivity. - Excellent written and verbal communication, teamwork, and problem‑solving skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science or a related technical field. ---
Los angeles, United states
On site
Fresher
13-11-2025
Company background Company brand
Company Name
MLabs
Job Title
Robotics Software Engineer
Job Description
Job Title: Robotics Software Engineer Role Summary: Design and implement highly robust robotic control software that bridges experimental biology with automated laboratory equipment, delivering production‑ready solutions in a fast‑paced scientific environment. Expectations: 4+ years of engineering robotics algorithms, strong focus on manipulation, motion planning, trajectory optimization, kinematics/dynamics, and control; proficiency in Python; proven use of software engineering practices in production. Hacker mindset, rapid prototyping, and adaptability to multidimensional roles. Key Responsibilities: - Design and develop robotic solutions for human‑grade biology tools. - Implement advanced motion‑planning and collision‑avoidance algorithms. - Apply computer‑vision techniques for precise interaction with consumables and equipment. - Integrate, test, and debug systems in simulation (PyBullet/MuJoCo) and on physical robots. - Partner with scientists to capture requirements, prototype, and deploy solutions. - Ensure scalability, robustness, and performance across varied laboratory scenarios. Required Skills: - Motion planning, trajectory optimization, kinematics, dynamics, control. - Python programming (production‑grade). - Familiarity with simulation environments (PyBullet, MuJoCo). - Computer‑vision pipelines. - Software integration, debugging, and version‑control best practices. - Knowledge of communication protocols (ZMQ, Redis, gRPC) and mechanical‑design tools (SolidWorks) is a plus. Required Education & Certifications: - BS/MS/Ph.D. in Computer Science, Mechanical Engineering, Electrical Engineering, Aeronautical Engineering, or an equivalent field.
San francisco, United states
On site
Junior
13-11-2025