CrawlJobs Logo

AI-Native Software Developer

Mexico · Job Posted March 19, 2026
Apply Position
Job Link Share

Job Description

The engineering team is transitioning from traditional development practices to agentic AI-driven workflows, where AI-assisted design, multi-agent orchestration, and rapid iteration are core capabilities. The goal is to accelerate feature delivery, improve code quality, and build scalable healthcare systems using AI-augmented engineering from day one.

Job Responsibility

  • Develop and maintain backend systems using AI-augmented workflows
  • Leverage Claude Code in design, implementation, refactoring, and testing
  • Participate in multi-agent orchestration using Claude Agent Teams
  • Architect scalable backend services and API integrations
  • Review and critically validate AI-generated code for quality and maintainability
  • Translate business requirements into technical solutions
  • Contribute to best practices for agentic development
  • Ensure secure, compliant, and high-performance software delivery

Requirements

  • 5+ years of professional software engineering experience
  • Proven hands-on daily usage of Claude Code beyond basic autocomplete
  • Experience with or readiness to work with Claude Agent Teams
  • Strong software architecture and system design fundamentals
  • Experience designing or contributing to AI-native or agentic development workflows
  • Strong API design and integration experience
  • Ability to decompose complex problems and structure AI-augmented solutions
  • Comfortable working in fast-paced, evolving engineering environments
  • English level: B2 (Upper-Intermediate) or higher

What we offer

  • Technical and non-technical training for professional and personal growth
  • Internal conferences and meetups to learn from industry experts
  • Support and mentorship from an experienced employee to help you professional grow and development
  • Internal startup incubator
  • Health insurance
  • English courses
  • Sports activities to promote a healthy lifestyle
  • Flexible work options, including remote and hybrid opportunities
  • Referral program for bringing in new talent
  • Work anniversary program and additional vacation days

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI-Native Software Developer

8 matching positions

Software Developer Cloud and AI Native Platforms

We are especially focused on integrating artificial intelligence across all aspe...
Location
Location
Brazil , Indaiatuba
Salary
Salary:
Not provided
ericsson.com Logo
Ericsson
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering or a related field
  • Proficiency in python, with a foundational understanding of operating systems
  • Basic knowledge of Linux as a development environment and a willingness to grow within it
  • Strong communication and interpersonal skills to collaborate effectively
  • A genuine curiosity and interest in artificial intelligence and its applications in software development and testing
  • Strong interest and experience working with Ericsson Approved AI-tools such as AWS-Q/Kiro, Agents
  • Familiarity with modern development tools such as GIT, Container and Cloud Technologies (Kubernetes, Cloud.)
Job Responsibility
Job Responsibility
  • Development & Testing
  • Integration & Review
  • Design and scale AI-native enterprise platforms using LLMs, RAG architectures, agentic AI workflows, knowledge graphs, and persona-driven AI systems
  • Build and operate model serving and inference platforms on Kubernetes (e.g., KServe, Seldon, BentoML or similar)
  • Design ML pipelines and orchestration using Kubeflow, MLflow, Airflow, and model registries
  • Implement hallucination mitigation, grounding strategies, and AI evaluation frameworks
  • Establish AI monitoring, data drift detection, and Responsible AI governance practices
  • Design secure, multi-cloud AI solutions across AWS, Azure, or GCP
  • Drive AI roadmap planning, business case development, and executive-level technical presentations
  • Design Cloud Native & AI Native CI/CD pipelines using GitOps and tooling like ArgoCD, Flux, Jenkins, Tekton, GitLab CI, Spinnaker
  • Fulltime
Read More
Arrow Right

Ai-Native Engineering Traineeship

Ready to become part of the next generation of digital engineering? Our AI-Nativ...
Location
Location
Belgium , Brussels
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Holds a Bachelor’s or Master’s degree in IT, Engineering, Computer Science or a related field
  • Has a strong interest in software engineering, AI and emerging technologies
  • Is curious about the future of AI-native product development and intelligent automation
  • Enjoys solving business and technical challenges together with others
  • Combines analytical thinking with a pragmatic and hands-on mindset
  • Has an eagerness to continuously learn and evolve quickly
  • Feels comfortable navigating both technical and business discussions
  • Communicates fluently in Dutch or French and has a professional knowledge of English
Job Responsibility
Job Responsibility
  • Learn on the job
  • Contribute to real client environments
  • Grow alongside experienced consultants, architects and engineers
  • Learn how AI is reshaping software engineering, product development and digital transformation
  • Learn how to design, orchestrate and integrate intelligent digital solutions
  • Help customers tackle innovation, transformation and complex business challenges
  • Contribute to the realization of intelligent digital solutions
  • Strengthen consulting and collaboration skills
  • Follow a comprehensive training programme
What we offer
What we offer
  • Flexible working arrangement
  • Laptop, phone and home office necessities
  • Competitive salary and indefinite contract
  • Company car or mobility budget
  • Fulltime
Read More
Arrow Right

Software Engineer, AI Native

Meta is seeking talented engineers to join our teams in building cutting-edge pr...
Location
Location
United States , Bellevue
Salary
Salary:
181000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  • Experience building maintainable and testable codebases, including API design and unit testing techniques
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences
  • Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management
  • Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains
  • Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
  • Design/Contribute to agentic workflows and leverage AI tools and agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact
  • Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost
  • Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops
  • Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues
  • Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team
  • Establish ownership of components, features, or systems with comprehensive end-to-end understanding
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Software Engineer, AI Native

Meta is seeking talented engineers to join our teams in building cutting-edge pr...
Location
Location
United States , Bellevue
Salary
Salary:
257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building maintainable and testable codebases, including API design and unit testing techniques
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows
  • Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of programming experience in a relevant language OR a PhD + 4 years programming experience in a relevant language
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences
  • Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management
  • Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains
  • Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
  • Contribute to agentic workflows and AI agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact
  • Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost
  • Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops
  • Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues
  • Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team
  • Establish ownership of components, features, or systems with comprehensive end-to-end understanding
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Software Engineer, AI Native

Meta is seeking talented engineers to join our teams in building cutting-edge pr...
Location
Location
United States , Bellevue
Salary
Salary:
217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of programming experience in a relevant language OR a PhD + 3 years programming experience in a relevant language
  • Experience building maintainable and testable codebases, including API design and unit testing techniques
  • Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences
  • Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management
  • Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains
  • Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
  • Contribute to agentic workflows and AI agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact
  • Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost
  • Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops
  • Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues
  • Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team
  • Establish ownership of components, features, or systems with comprehensive end-to-end understanding
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
232000.00 - 319000.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
  • Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
  • Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
  • Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
  • Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
  • Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
  • Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
  • Track record of technical mentorship and elevating engineering teams' capabilities
Job Responsibility
Job Responsibility
  • Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
  • Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
  • Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
  • Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
  • Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
  • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
  • Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
  • Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
  • Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
  • Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
184600.00 - 260700.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years building production-grade backend systems or developer-facing tools
  • Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing and building distributed systems, microservices, or platform infrastructure
  • Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
  • Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
  • Product-minded approach to building developer tools with focus on user experience and measurable outcomes
  • Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
  • Ownership mentality with bias for action and iterative delivery
  • Comfortable working autonomously across distributed teams and navigating ambiguity
Job Responsibility
Job Responsibility
  • Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
  • Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
  • Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
  • Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
  • Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
  • Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
  • establish monitoring, alerting, and operational excellence for AI systems
  • Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
  • Participate in Operations: Take part in on-call rotation for AI developer tools
  • respond to incidents, debug production issues, and drive continuous improvement of system reliability
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Software Engineer II, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
128000.00 - 181500.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years building backend systems, APIs, or developer-facing tools with strong software engineering fundamentals
  • Proficiency in Go (preferred), Rust, Java, or Python with understanding of data structures, algorithms, and design patterns
  • Basic understanding of AI/ML concepts with eagerness to learn about LLM APIs, prompt engineering, and AI agent development through hands-on work
  • Experience with cloud platforms (AWS, GCP, or Azure) and understanding of distributed systems or microservices
  • Familiarity with CI/CD pipelines, automated testing, version control (Git), and modern development workflows
  • Strong problem-solving skills with ability to work through technical challenges with guidance from senior engineers
  • Good communication skills in remote, asynchronous environments with ability to document technical decisions
  • Collaborative mindset with eagerness to learn from code reviews and feedback
  • Self-motivated with ability to work autonomously while knowing when to ask for help
  • Passion for developer tools and user experience
Job Responsibility
Job Responsibility
  • Build AI Developer Tool Features: Implement features for AI-powered developer tools such as code review assistants, test generators, deployment diagnostics, and on-call assistance tools
  • Implement LLM Integrations: Build integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response handling, error management, and performance optimization
  • Contribute to Platform Infrastructure: Help build self-service platform capabilities such as deployment pipelines, observability integration, security controls, and operational tooling that enable teams to rapidly deploy AI developer tools
  • Support AI-Native Development Adoption: Contribute to tools and programs that help teams adopt AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
  • Write Quality Code: Develop well-tested code with unit and integration tests
  • follow team coding standards and participate actively in code reviews to learn best practices
  • Maintain Production Systems: Assist with monitoring, alerting, and troubleshooting production AI systems
  • participate in incident response and learn operational best practices
  • Collaborate and Learn: Work closely with Senior Engineers and Principal Engineer on technical designs
  • ask questions, seek feedback, and continuously improve your skills in AI/LLM technologies and platform engineering
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right