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Open nowPosted 47 hours ago

Senior Backend / AI Applications Engineer

Mobi.AI4 open roles

Where
HQ - Somerville, MA
Work mode
Hybrid
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Your applicationOpen nowSenior Backend / AI Applications EngineerMobi.AI · HQ - Somerville, MA
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Mobi.AI postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 47 hours ago

Mobi.AI median: 1 days open

The posting

About Mobi.AI http://Mobi.AI

Mobi partners with the world's leading travel brands to create AI experiences that change how people discover and book travel.

By combining deep AI expertise with more than a decade of experience in travel commerce, Mobi helps travel brands understand what travelers want, deliver more relevant experiences, and convert AI-driven intent into direct bookings. Our technology connects the intelligence of AI with the realities of travel—integrating with the systems brands already use while creating new opportunities to engage customers throughout their journey. We're building the infrastructure that will power the next generation of travel commerce.

Working at Mobi

We believe the best ideas emerge when diverse perspectives come together, so we’re building a team that truly reflects that belief. If you’re energized by complex challenges, inspired by working alongside thoughtful teammates, and passionate about building technology that enhances—rather than replaces—what makes us human, you’ll feel right at home here.

Our work is centered on five core values:

- Show up, be you. We welcome every kind of thinker, maker, and teammate: quiet or bold, methodical or messy, with all their talents and quirks. Inclusion isn’t a checkbox—it’s how we connect, grow together, and do our best work.

- Be scrappy, stay steady. We’re resilient and quick on our feet, adapting with creativity and staying grounded when things shift.

- Create transparency, collaborate better. We believe knowledge grows when it’s shared. Clear, open communication builds trust and strengthens collaboration.

- Foster community, be compassionate. We show up for our teammates, customers, and neighbors. Strong businesses grow from relationships built with care and grounded in shared effort.

- Build thoughtfully, create impact. We design for clarity, build for scale, and measure success through real-world impact.

About the Role

As a Senior Backend / AI Applications Engineer at Mobi, you’ll join a collaborative, highly creative, and fast-paced team to design and build reliable backend services and AI-driven applications. You’ll play a key role as both architect and developer, shaping technologies that power Mobi’s portfolio of travel AI products used by some of the world’s leading brands.

This is a hands-on backend role with end-to-end ownership of production services, from clarifying ambiguous customer needs and making architecture trade-offs to implementation, deployment, monitoring, and ongoing reliability. You’ll work closely with product, design, and other engineers to build the APIs, integrations, and agent workflows behind Mobi’s travel AI products, delivering reliable experiences for our customers and their travelers.

We’re excited to work with someone who has made AI a meaningful part of how they build software. A strong proficiency in AI-assisted software development is essential to this role. You’ll bring hands-on experience using AI coding assistants and agents to turn ideas into production-ready features—from exploring solutions and writing code to testing, debugging, and refining what you’ve built. You know how to guide these tools thoughtfully, challenge their output, and take ownership of the results. Just as importantly, you’re curious about what’s possible and eager to discover and share new ways of working with AI.

Key Responsibilities:

- Develop, test, and maintain MCP services and agent applications that connect Mobi’s travel AI products to customer and partner systems.

- Build and operate Python APIs, integrations, and AWS infrastructure with clear contracts, authentication, retries, idempotency, observability, and actionable error handling.

- Collaborate with cross-functional teams to define, design, and ship new features.

- Use AI coding assistants and agents throughout the development lifecycle to accelerate delivery while maintaining high standards for correctness, accessibility, performance, and maintainability.

- Optimize applications for maximum speed, scalability, and performance.

- Review code to troubleshoot, debug, and resolve issues; Implement best practices for code quality, testing, and maintainability.

- Build automated unit, integration, contract, and end-to-end tests to verify software correctness and service reliability.

- Develop scenario-based agent evaluations for tool selection, grounding, task completion, failure handling, and regressions, with explicit expected outcomes and checks for nondeterministic behavior.

- Stay current with trends, tools, and emerging technologies in the field of computer science and artificial intelligence.

Qualifications:

- Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent practical experience.

- Strong Python skills and a track record of independently owning production backend services, explaining architecture trade-offs, and turning ambiguous requirements into reliable, maintainable systems.

- Experience writing automated Python tests (e.g., pytest), API and integration tests, and browser-based end-to-end tests where the product requires them.

- Proficiency with backend APIs and RESTful services.

- Experience with AWS compute and storage services (e.g. Lambda, DynamoDB)

- Demonstrated ability to use AI coding assistants and agents to build and improve software, evidenced by professional work or substantial projects. You remain accountable for the design, code, tests, and production behavior.

- Experience directing AI tools through changes across multiple files in an existing codebase, including implementation, test generation, debugging, and refactoring.

- Strong judgment in evaluating AI-generated solutions: able to explain the code, verify its behavior, identify errors, and recognize when independent investigation or a different approach is needed.

- Strong problem-solving skills and a collaborative mindset.

- Understanding of MCP and Agent frameworks.

Benefits & Perks

- Competitive Base Salary + Annual Bonus

- Comprehensive Health Insurance (Medical, Dental, and Vision) for you and your family, covered mostly by the company.

- Company-paid Disability and Life Insurance

- Optional Pet Insurance and Identity Theft Protection

- Paid Parental Leave (for all types of parents and families)

- Equity ownership in the company

- 401k Plan

- Unlimited Paid Time Off + $1,000 Bonus for taking five consecutive days off

- Flexibility to work anywhere in the world for one month a year

- Tuition Reimbursement

- Cell Phone & Transportation Reimbursement

- Lunch daily from local restaurants

- Cozy office environment with a full kitchen, massage chairs, live plants, and much more!

Mobi hires those willing to work either full-time in office or on a hybrid schedule.

Equal Opportunity

We are an equal opportunity employer; applicants, employees, and former employees are protected from employment discrimination and harassment of any type based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, protected veteran status and genetic information (including family medical history), or any other characteristic protected by federal, state or local laws.

Pay Transparency

The base salary range for this US full-time position is between $140,000 - $200,000 and is eligible for an annual company bonus, subject to standard withholding and applicable taxes. All candidates receive equity (ISO) and access to a comprehensive benefits offering. The base salary range reflects the minimum and maximum targets for candidates. The following factors are considered when determining the compensation offered: work location, skills, experience, and any relevant education or training. The Recruiter or Hiring Manager can share more about the specific salary range with you during the recruitment process and answer any questions you have.

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