AI-Native Software Developer Job at Coherent Solutions

Senior Staff Software Developer - Mobile (IOS)

Come join Intuit's DataX team as a Senior Staff Software Developer - Mobile (IOS...

Location

Canada , Toronto

Salary:

179500.00 - 242500.00 CAD / Year

Intuit

Expiration Date

Until further notice

Requirements

Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
Expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications on the iOS platform
5+ years of experience designing complex mobile architectures and distributed systems
Experience with AI technologies/tools and applying them to mobile user experiences or backend solutions
Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python in the context of mobile development
Expertise in Swift and SwiftUI
Experience in the Software design/architecture process, specifically for mobile applications
Experience in the entire Software Development Life Cycle (SDLC), with a focus on mobile releases
Experience with web services (consuming or creating) with REST or SOAP for mobile backends
Prior working experience in a cloud computing environment like AWS/GCP is highly desired

Job Responsibility

Drive velocity in the organization by identifying and driving key opportunities across the mobile platform and broader company, accelerating customer, business, and technology outcomes
Drive significant technology initiatives end-to-end within the iOS platform, including horizontal layers of the mobile architecture
Understand customer behaviors and partner with cross-functional partners (Product Management, Design, etc.) to influence and drive end-to-end mobile solutions for customer problems
Drive the design and implementation of durable and scalable AI-powered iOS solutions that will solve critical customer problems in a fast-paced environment
Execute with a boundaryless mindset and contribute to solutions outside of your primary iOS area of ownership
Leverage knowledge of building AI-native applications to reimagine and enhance existing mobile solutions and create new, innovative experiences
Guide the applicability of AI to customer problems within the mobile context through a deep understanding of the value and limitations of AI technologies
Create robust, scalable, and secure technical designs for iOS applications, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance
Passionate about continuous learning, experimenting, and applying cutting-edge mobile technologies and AI paradigms to solve customer problems on the iOS platform
Act as a technical subject matter expert for the iOS platform, mentoring fellow engineers and leading technical discussions

What we offer

cash bonus
equity rewards
benefits

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

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

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

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

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

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

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

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

Software Engineer - Back End

As a Software Engineer Back End you will help design, build, and optimize Distil...

Location

United States , San Francisco; New York

Salary:

130000.00 - 250000.00 USD / Year

Distyl AI

Expiration Date

Until further notice

Requirements

Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
3-10+ years of software engineering experience
Ability to travel 10-20%

Job Responsibility

Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure
Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure
Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration
Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures

What we offer

100% covered medical, dental, and vision for employees and dependents
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
Ownership of high‑impact projects across top enterprises
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
Meaningful equity

Fulltime

Software Engineer II, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

128000.00 - 181500.00 USD / Year

Docker

Expiration Date

Until further notice

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

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

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

Software Engineer III, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

157000.00 - 222750.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

4+ years building production-grade backend systems or developer-facing tools with strong software engineering fundamentals
Hands-on production experience with AI/ML technologies including practical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and 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
Demonstrated ability to work independently on day-to-day work with general guidance on new projects
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
Ability to build effective working relationships across multiple teams

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 agents that simplify on-call tasks when handling incidents
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 and Senior Engineers on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
build effective partnerships across multiple teams
Act as Technical Resource: Help teammates solve problems and share knowledge through code reviews and technical discussions

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

AI Applications Engineer

Foundational member for a transformative team aimed at revolutionizing Ema using...

Location

India , Bengaluru

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

High Agency: operate independently and autonomously to create outsized impact
A Builder at Heart: demonstrable passion for creating things (scripts, full-stack applications, or complex automated workflows)
Product Thinker: love talking to users and understanding their pain-points then designing solutions
A First-Principles Thinker: dig deep to understand root cause and envision new, efficient ways of operating
AI-Curious & Rapid Learner: fascinated by latest developments in AI, LLMs, and agentic systems
not afraid to pick up new tools and technologies
Product-Minded: keen sense for user experience and can build tools that are intuitive and delightful

Job Responsibility

Agentic AI Tool Building: serve as Product Manager, Designer & Developer in building AI-powered tools to streamline workflows
Develop Custom Software: build AI-powered micro-SaaS tools and intelligent applications
Leverage Modern AI Tooling: utilize latest generation of AI-native development tools and LLM frameworks to rapidly prototype, build, and deploy solutions
Agentic Automation: uncover problem statements for AI-driven automation across processes and architect AI agents to automate the work
Deliver Impact: leverage cutting-edge agentic workflow platforms to deliver value

Fulltime

Software Engineer, Developer Experience

At Harvey, we’re transforming how legal and professional services operate — not ...

Location

United States , San Francisco

Salary:

175000.00 - 250000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

3+ years of software engineering experience, including building scalable backend systems or internal developer platforms
Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems
Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing
Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform)
A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability
Strong problem-solving skills and a passion for improving developer experience
Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback

Job Responsibility

Develop and scale a world-class developer platform to accelerate Harvey's hyper growth
Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications
Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle
Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform
Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality

What we offer

Offers Equity
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

AI-Native Software Developer

Coherent Solutions

Location:
Mexico

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2026

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