Mechanized AI

👥 11-50 Artificial Intelligence (AI)Big Data Machine Learning Information Technology Software💼 Private Company

Mechanized AI simplifies AI/ML processes with a no-code platform, making generative AI accessible to businesses without complex coding. We're a rapidly growing company at the forefront of AI innovation, transforming legacy systems into modern, efficient, and scalable solutions for enterprise clients. Our team is tackling complex challenges and delivering innovative solutions in a collaborative, remote-first environment that fosters continuous learning and creativity. Our tech stack includes AWS, Python, various CI/CD tools (like AWS CodePipeline and Jenkins), and modern security tools. We employ Infrastructure as Code (IaC) using tools like Pulumi, Terraform, or CloudFormation, ensuring security is integrated into every stage of the development process. We prioritize a secure, reliable, and efficient software development lifecycle. Our engineers collaborate closely across development, QA, and IT teams, embracing agile methodologies and continuous improvement. Mechanized AI is an active, fast-growing company with significant funding and a global reach. We're actively hiring talented individuals in various locations, offering remote work opportunities for professionals in diverse roles such as DevOps Engineering, Application Modernization, and Machine Learning. We’re committed to building a diverse and inclusive workplace where everyone feels valued and empowered to contribute their unique skills and perspectives. Our commitment to innovation and continuous learning extends to our employees, providing opportunities for professional development and career advancement. We pride ourselves on our team's collaborative spirit, dedication to excellence, and passion for pushing the boundaries of AI. Join us as we revolutionize the way businesses interact with AI.

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Jobs at this company:

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🔥 Backend Engineer

Posted 26 days ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Bachelor’s degree in computer science, software engineering or related field
4+ years of industry experience as a Backend Engineer
Strong proficiency in Python (4+ years) and Flask (2+ years)
Deep cloud experience including designing and building end-to-end cloud architectures in AWS or Azure
2+ years of experience with infrastructure as code (IaC) using tools such as Pulumi, Terraform
Experience with authentication best practices (e.g., Autho0, Cognito), SQL and NoSQL on the cloud, network config (NLBs), and logging
Experience creating multi-tenant and single-tenant platform tools
Experience building products via ECS, Flask, Python
Knowledge of DevOps best practices
Experience with Machine Learning or Deep Learning projects in production
DevOps pipeline experience from scratch, using AWS CodePipeline or equivalents
Ability to collaborate effectively with frontend team members
Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment

💡 Responsibilities

Design and Develop Backend Systems: Architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications
API Development: Create and manage RESTful APIs, enabling seamless communication between frontend applications and backend systems
Collaboration: Work closely with frontend engineers, ML engineers, data engineers, and other team members to integrate and optimize backend solutions that meet project requirements
Code Quality and Review: Write clean, maintainable code, and participate in code reviews to uphold high standards of software quality
Performance Optimization: Monitor and improve the performance of backend systems, identifying and addressing bottlenecks and scaling issues as they arise
Security: Implement and maintain security best practices across all backend systems, ensuring data protection and compliance with relevant regulations
DevOps Integration: Manage infrastructure as code and ensure continuous integration/continuous deployment (CI/CD) pipelines are effectively utilized
Troubleshooting and Debugging: Identify, diagnose, and resolve complex technical issues across backend systems, providing timely solutions to maintain system uptime

Posted 26 days ago

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🔥 AI Engineering Manager BR

Posted about 1 month ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of hands-on AI engineering (GenAI, Agents, LLMOps, MLOps, Data Science, CV, NLP, etc.)
3+ years of AI leadership experience with a dual focus on technical excellence and product management (e.g., AI Product Owner/ AI Product Manager)
3+ years managing/implementing MLOps in enterprise-scale AI/ML deployments
1+ years in Agentic AI implementation/management (multi-agent systems, generative AI, LLMOps)
Proven ability to manage backlogs, prioritize features, and develop product roadmaps to drive effective execution and continuous improvement
Experience leveraging customer feedback and market insights (via surveys, usability tests, interviews) to refine product strategy and enhance offerings
Proven ability to manage and scale remote AI/ML teams (10+ members) in dynamic, high-pressure environments with strong delegation and conflict resolution
Exceptional product management, resource planning, timeline management, risk mitigation, and cross-functional alignment skills
Outstanding communication and ethical leadership with a commitment to accountability and continuous improvement
Proven ability to operationalize AI product management using tools like Jira and Confluence
Proficiency in English at a C2 level

💡 Responsibilities

Recruit, mentor, and develop a high-performing, diverse AI/ML and Data engineering team—fostering collaboration, continuous learning, and clear performance metrics to drive retention in a fast-paced environment
Champion technical excellence by applying first principles thinking and data-driven problem solving, enforcing rigorous code reviews, automated testing, and comprehensive documentation while promoting Agentic, MLOps, and LLMOps best practices
Implement Agile methodologies to conduct regular gap analyses and risk assessments, transforming process deficiencies into stable processes
Collaborate with the CAIO to define and execute a technical roadmap that balances cutting-edge AI product development with enterprise-grade reliability, security, and performance, while integrating emerging trends
Oversee the entire AI product lifecycle—from proof-of-concept through production deployment, monitoring, and iterative improvement—ensuring alignment with business objectives, client needs, and industry standards
Manage product timelines, resource allocation, and deliverables through effective task management, delegation, and milestone tracking, while maintaining high team morale
Serve as an AI liaison for internal stakeholders, proactively communicating progress, identifying risks, and diffusing tensions through transparent documentation and open dialogue
Embrace a product owner mindset to prioritize tasks and manage the product backlog, aligning technical development with strategic business goals
Drive product evolution by providing insights on scalable architecture, governance, and advanced LLM/Agentic techniques, shaping a forward-thinking AI vision that anticipates future trends
Establish and monitor clear KPIs and performance metrics through regular reviews and retrospectives to ensure accountability and continuous improvement
Foster cross-functional collaboration across Data, AI, Backend, DevSecOps, QA, and Frontend teams via structured communication and transparent reporting, ensuring cohesive alignment across the organization
Cultivate innovation by promoting experimentation, calculated risk-taking, and continuous feedback loops that leverage data analytics to refine models, processes, and products

Posted about 1 month ago

Apply

🔥 AI Engineering Manager

Posted about 1 month ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of hands-on AI engineering (GenAI, Agents, LLMOps, MLOps, Data Science, CV, NLP, etc.)
3+ years of AI leadership experience with a dual focus on technical excellence and product management (e.g., AI Product Owner/ AI Product Manager)
3+ years managing/implementing MLOps in enterprise-scale AI/ML deployments
1+ years in Agentic AI implementation/management (multi-agent systems, generative AI, LLMOps)

💡 Responsibilities

Recruit, mentor, and develop a high-performing, diverse AI/ML and Data engineering team—fostering collaboration, continuous learning, and clear performance metrics to drive retention in a fast-paced environment
Champion technical excellence by applying first principles thinking and data-driven problem solving, enforcing rigorous code reviews, automated testing, and comprehensive documentation while promoting Agentic, MLOps, and LLMOps best practices
Implement Agile methodologies to conduct regular gap analyses and risk assessments, transforming process deficiencies into stable processes
Collaborate with the CAIO to define and execute a technical roadmap that balances cutting-edge AI product development with enterprise-grade reliability, security, and performance, while integrating emerging trends
Oversee the entire AI product lifecycle—from proof-of-concept through production deployment, monitoring, and iterative improvement—ensuring alignment with business objectives, client needs, and industry standards
Manage product timelines, resource allocation, and deliverables through effective task management, delegation, and milestone tracking, while maintaining high team morale
Serve as an AI liaison for internal stakeholders, proactively communicating progress, identifying risks, and diffusing tensions through transparent documentation and open dialogue
Embrace a product owner mindset to prioritize tasks and manage the product backlog, aligning technical development with strategic business goals
Drive product evolution by providing insights on scalable architecture, governance, and advanced LLM/Agentic techniques, shaping a forward-thinking AI vision that anticipates future trends
Establish and monitor clear KPIs and performance metrics through regular reviews and retrospectives to ensure accountability and continuous improvement
Foster cross-functional collaboration across Data, AI, Backend, DevSecOps, QA, and Frontend teams via structured communication and transparent reporting, ensuring cohesive alignment across the organization
Cultivate innovation by promoting experimentation, calculated risk-taking, and continuous feedback loops that leverage data analytics to refine models, processes, and products

Posted about 1 month ago

Apply

🔥 - AI Engineering Manager

Posted about 1 month ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of hands-on AI engineering (GenAI, Agents, LLMOps, MLOps, Data Science, CV, NLP, etc.)
3+ years of AI leadership experience with a dual focus on technical excellence and product management (e.g., AI Product Owner/ AI Product Manager)
3+ years managing/implementing MLOps in enterprise-scale AI/ML deployments
1+ years in Agentic AI implementation/management (multi-agent systems, generative AI, LLMOps)
Proven ability to manage backlogs, prioritize features, and develop product roadmaps to drive effective execution and continuous improvement
Experience leveraging customer feedback and market insights (via surveys, usability tests, interviews) to refine product strategy and enhance offerings
Proven ability to manage and scale remote AI/ML teams (10+ members) in dynamic, high-pressure environments with strong delegation and conflict resolution
Exceptional product management, resource planning, timeline management, risk mitigation, and cross-functional alignment skills
Outstanding communication and ethical leadership with a commitment to accountability and continuous improvement
Proven ability to operationalize AI product management using tools like Jira and Confluence
Proficiency in English at a C2 level

💡 Responsibilities

Recruit, mentor, and develop a high-performing, diverse AI/ML and Data engineering team—fostering collaboration, continuous learning, and clear performance metrics to drive retention in a fast-paced environment
Champion technical excellence by applying first principles thinking and data-driven problem solving, enforcing rigorous code reviews, automated testing, and comprehensive documentation while promoting Agentic, MLOps, and LLMOps best practices
Implement Agile methodologies to conduct regular gap analyses and risk assessments, transforming process deficiencies into stable processes
Collaborate with the CAIO to define and execute a technical roadmap that balances cutting-edge AI product development with enterprise-grade reliability, security, and performance, while integrating emerging trends
Oversee the entire AI product lifecycle—from proof-of-concept through production deployment, monitoring, and iterative improvement—ensuring alignment with business objectives, client needs, and industry standards
Manage product timelines, resource allocation, and deliverables through effective task management, delegation, and milestone tracking, while maintaining high team morale
Serve as an AI liaison for internal stakeholders, proactively communicating progress, identifying risks, and diffusing tensions through transparent documentation and open dialogue
Embrace a product owner mindset to prioritize tasks and manage the product backlog, aligning technical development with strategic business goals
Drive product evolution by providing insights on scalable architecture, governance, and advanced LLM/Agentic techniques, shaping a forward-thinking AI vision that anticipates future trends
Establish and monitor clear KPIs and performance metrics through regular reviews and retrospectives to ensure accountability and continuous improvement
Foster cross-functional collaboration across Data, AI, Backend, DevSecOps, QA, and Frontend teams via structured communication and transparent reporting, ensuring cohesive alignment across the organization
Cultivate innovation by promoting experimentation, calculated risk-taking, and continuous feedback loops that leverage data analytics to refine models, processes, and products

Posted about 1 month ago

Apply

🔥 Modernization Technical Project Manager BR

Posted about 1 month ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

4+ years of experience as a Modernization TPM in a client-facing role or consulting environment
3+ years of recent (last 10 years), hands-on experience as a software developer working with legacy code bases (e.g., .NET, Visual Basic, COBOL, Java)
1+ years of experience managing or collaborating with frontend teams, or hands-on frontend development to ensure quality UI output in modernized code
Proven experience planning and executing modernization/migration projects from legacy tech stacks to modern tech stacks
Understanding of AI/ML concepts, tools, and practical applications
Proven ability to gather and document technical requirements and translate them into actionable tasks for engineering teams
Proficiency with project management tools (e.g., Trello, Jira) and Agile methodologies (e.g., Scrum, Kanban, XP)
Experience overseeing modernization project timelines and resource allocation
Strong problem-solving skills and ability to manage multiple priorities in fast-paced environment
Excellent communication and interpersonal skills, with the ability to work effectively across technical and non-technical teams
C1/C2 (advanced/proficient) level English is required

💡 Responsibilities

Manage end-to-end delivery of Mechanized AI infrastructure and application modernization projects
Oversee the migration of virtual machines (VMs) to containers and the modernization of legacy applications (e.g., .NET, COBOL, Java) to modern technology stacks
Coordinate the integration of generative AI capabilities into clients’ modernization efforts, ensuring seamless adoption
Collaborate with enterprise clients to gather technical and functional requirements and translate them into actionable plans for the technical team
Develop and maintain project scope, timelines, deliverables, budgets, and resource plans to ensure on-time, high-quality, on-budget delivery of modernization projects
Serve as the primary contact between clients and internal teams, ensuring clear communication and alignment on project goals and expectations
Lead cross-functional project teams, delegating tasks effectively and aligning resources with project goals
Engage with AI and LLM (Large Language Model) teams to improve automation, documentation, and code modernization outcomes
Establish and maintain best practices to ensure code quality, security, and compliance with organizational and industry standards
Identify risks, issues, and dependencies, and develop mitigation strategies to keep projects on track
Facilitate regular status meetings and provide detailed project updates to internal and external stakeholders (technical and non-technical)
Foster a culture of continuous improvement, knowledge sharing, and feedback loops among project teams. Continually refine project workflows and delivery processes, leveraging lessons learned and stakeholder feedback

Posted about 1 month ago

Apply

🔥 Cloud Engineer

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of experience in Cloud Engineering/DevOps
3+ years of experience in Python backend development using Flask, Django or FastAPI
Experience working in an environment where all infrastructure is maintained using IaC (e.g., Pulumi, Terraform, CloudFormation)
Strong knowledge of AWS, ideally certified to the associate level (e.g., AWS Solutions Architect Associate, AWS SysOps Associate)
Experience with Linux System Administration with strong understanding of Linux Operating System concepts (e.g., process management, network management, the boot process)
Proficiency in scripting languages (e.g., Bash)
Experience with CI/CD tools (e.g., AWS CodePipeline, Jenkins, GitLab CI, CircleCI)
Understanding of network security, VPCs, firewalls, VPNs, IDS/IPS, and endpoint security
Proficiency in Identity and Access Management (IAM) roles and policies and S3 bucket policies
Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment
Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required

💡 Responsibilities

Design, implement, and manage CI/CD pipelines with a focus on security at every stage
Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation
Automate security testing and integrate security tools into the development workflow
Monitor, detect, and respond to security threats and vulnerabilities in a timely manner
Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle

AWSPythonBashDjangoFlaskFastAPICI/CDLinuxDevOpsTerraform

Posted about 1 month ago

Apply

🔥 - Cloud Engineer

Posted about 1 month ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of experience in Cloud Engineering/DevOps
3+ years of experience in Python backend development using Flask, Django or FastAPI
Experience working in an environment where all infrastructure is maintained using IaC (e.g., Pulumi, Terraform, CloudFormation)
Strong knowledge of AWS, ideally certified to the associate level (e.g., AWS Solutions Architect Associate, AWS SysOps Associate)
Experience with Linux System Administration with strong understanding of Linux Operating System concepts (e.g., process management, network management, the boot process)
Proficiency in scripting languages (e.g., Bash)
Experience with CI/CD tools (e.g., AWS CodePipeline, Jenkins, GitLab CI, CircleCI)
Understanding of network security, VPCs, firewalls, VPNs, IDS/IPS, and endpoint security
Proficiency in Identity and Access Management (IAM) roles and policies and S3 bucket policies
Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment
Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required

💡 Responsibilities

Design, implement, and manage CI/CD pipelines with a focus on security at every stage
Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation
Automate security testing and integrate security tools into the development workflow
Monitor, detect, and respond to security threats and vulnerabilities in a timely manner
Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle

Posted about 1 month ago

Apply

🔥 Application Modernization Specialist BR

Posted about 2 months ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Experience as a Software Architect or Senior Developer focused on modernization projects
Expertise migrating legacy systems, preferably from COBOL to modern languages such as Java, C#, Python, or similar
Deep understanding of software architecture principles, design patterns, and best practices
Experience with tools and methodologies for code analysis, refactoring, and automated testing
Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment
Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required

💡 Responsibilities

Lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures
Analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration
Design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability
Collaborate closely with cross-functional teams, including developers, business analysts, and project managers, to ensure successful project delivery
Provide technical leadership and guidance to development teams throughout the modernization process
Identify and mitigate risks associated with legacy system migrations, ensuring minimal disruption to business operations
Document architectural designs, migration strategies, and other technical details to ensure transparency and knowledge sharing within the team
Stay current with emerging technologies and best practices in software modernization to continuously improve our methodologies and tools

DockerPythonSoftware DevelopmentSQLCloud ComputingDesign PatternsJavaKubernetesSoftware ArchitectureC#AlgorithmsData StructuresCommunication SkillsAnalytical SkillsCI/CDRESTful APIsDevOpsMicroservices

Posted about 2 months ago

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🔥 - Modernization Technical Project Manager

Posted 3 months ago

📍 Argentina

🧭 Full-Time

🔍 Artificial Intelligence

🔧 Requirements

Bachelor's degree in computer science, software engineering or related field.
4+ years of experience as a Modernization TPM in a client-facing role or consulting environment.
3+ years of hands-on experience as a software developer working with legacy code bases (e.g., .NET, Visual Basic, COBOL, Java).
Proven experience planning and executing modernization/migration projects.
Understanding of AI/ML concepts and practical applications.
Proven ability to gather and document technical requirements.
Proficiency with project management tools (e.g., Trello, Jira) and Agile methodologies.
Strong problem-solving skills and ability to manage multiple priorities.
Excellent communication and interpersonal skills.
Cl/C2 level English is required.

💡 Responsibilities

Manage end-to-end delivery of Mechanized Al infrastructure and application modernization projects.
Oversee the migration of virtual machines (VMS) to containers and the modernization of legacy applications (e.g., .NET, COBOL, Java) to modern technology stacks.
Coordinate integration of generative AI capabilities into clients' modernization efforts.
Gather technical and functional requirements from enterprise clients and translate them into actionable plans.
Maintain project scope, timelines, deliverables, budgets, and resource plans for on-time delivery.
Serve as primary contact between clients and internal teams, ensuring clear communication.
Lead cross-functional project teams and delegate tasks effectively.
Engage with AI and LLM teams to improve outcomes.
Establish best practices for code quality and compliance.
Identify risks and develop mitigation strategies.
Facilitate regular status meetings and provide updates to stakeholders.
Foster a culture of continuous improvement among project teams.

AWSDockerProject ManagementAgileJavaMachine LearningAzure.NET

Posted 3 months ago

Apply

🔥 Modernization Technical Project Manager

Posted 3 months ago

📍 Bogota, CO

🧭 Full-Time

🔍 AI and technology modernization

🔧 Requirements

Bachelor's degree in computer science, software engineering or related field.
4+ years of experience as a Modernization Technical Project Manager in a client-facing role or consulting environment.
3+ years of recent hands-on experience as a software developer with legacy code bases.
Proven experience in planning and executing modernization/migration projects.
Understanding of AI/ML concepts and tools.
Ability to gather and document technical requirements.
Proficiency with project management tools and Agile methodologies.
Experience overseeing project timelines and resource allocations.
Strong problem-solving skills and ability to manage multiple priorities.
Excellent communication and interpersonal skills.
Cl/C2 level English required.

💡 Responsibilities

Manage end-to-end delivery of infrastructure and application modernization projects.
Oversee migration of virtual machines to containers and modernize legacy applications.
Coordinate integration of generative AI capabilities into projects.
Gather technical and functional requirements from clients and convert them into actionable plans.
Develop and maintain project scope, timelines, deliverables, budgets, and resource plans.
Act as primary contact between clients and internal teams.
Lead cross-functional project teams and delegate tasks.
Engage with AI and LLM teams to enhance automation and code outcomes.
Establish best practices for code quality and compliance.
Identify risks and issues, develop mitigation strategies.
Facilitate status meetings and provide updates to stakeholders.
Promote continuous improvement within project teams.

AWSDockerProject ManagementAgileMachine LearningMicrosoft .NET

Posted 3 months ago

Apply

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