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Babel Jobs (NOW HIRING)

Hatch IT

Sr. Architect, AI Governance & Risk

Reston, VA · On-site

T. is partnering with Babel Street to find a Sr. Architect, AI Governance & Risk . Please see details below: About the Role As the Senior Architect of AI Governance & Risk , you will lead the design ...

Hatch IT

Director of Product Management

Reston, VA · On-site

$242K - $253K/yr

T. is partnering with Babel Street to find a Director of Product Management . Please see details below: About the Role The Director of Product Management is a leader responsible for defining and ...

Hatch IT

Director of Product Management

Reston, VA · Hybrid

$242K - $253K/yr

T. is partnering with Babel Street to find a Director of Product Management . Please see details below: About the Role The Director of Product Management is a leader responsible for defining and ...

Babelgroup

Integration / SOA Engineer

San Jose, CA · On-site

Babel, enriching people through technology BABEL es una consultora tecnologica multinacional especializada en aplicar sus servicios y conocimiento tecnologico en los procesos de aceleracion digital ...

Babelgroup

Project Manager

San Jose, CA · On-site

Babel, enriching people through technology BABEL es una consultora tecnologica multinacional especializada en aplicar sus servicios y conocimiento tecnologico en los procesos de aceleracion digital ...

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How much do babel jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for babel in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $20.91 per hour, depending on experience, location, and employer.

Is Babel a good company to work for?

Babel is a technology company known for its JavaScript compiler and tools, often employing developers with skills in JavaScript, Babel plugins, and build systems. Employee reviews indicate mixed experiences, with some citing a collaborative environment and others noting workload concerns. As with any company, individual experiences vary based on role, team, and expectations.

What is the difference between Babel vs Interpreter?

AspectBabelInterpreter
Primary RoleTranspiles JavaScript code to ensure compatibility across browsersExecutes code line-by-line during runtime to translate high-level language into machine code
Work EnvironmentDevelopment tools, build processes, front-end projectsRuntime environments, debugging, real-time code execution
Required CredentialsKnowledge of JavaScript, build tools, sometimes certifications in web developmentProficiency in programming languages, understanding of runtime environments, often certifications in software development

While Babel is a JavaScript compiler mainly used to transpile code for browser compatibility, an Interpreter executes code directly during runtime. Babel is essential in front-end development workflows, whereas interpreters are used in various programming languages for executing code. Both roles are crucial in software development but serve different purposes in the coding process.

What are some typical challenges faced by Babel developers when working in multilingual environments?

Babel developers often encounter challenges related to maintaining consistency across different language versions of code and ensuring that translation files are kept up-to-date as applications evolve. Collaboration with other developers, localization teams, and sometimes external translators is crucial for managing updates and avoiding discrepancies. Additionally, developers must be vigilant about potential bugs caused by language-specific formatting or cultural differences, and need to implement thorough testing to ensure functionality across all supported languages.

Is Babel a good side hustle?

Babel is a language translation platform that offers freelance translation jobs, which can be a flexible side hustle for those fluent in multiple languages. It typically requires strong language skills and attention to detail, and earnings depend on the volume and complexity of projects completed.

What is Babel and what does it do?

Babel is a popular JavaScript compiler that allows developers to use next-generation JavaScript features by converting modern JavaScript code into a version compatible with older browsers or environments. It helps ensure that your code works across different platforms, even if some features aren't natively supported. Babel is often used in web development projects as part of a build process, and it can be customized with plugins and presets to fit specific needs.

How much do Babel audio jobs pay?

Babel audio jobs typically pay hourly rates that range from $10 to $25, depending on the specific role, experience, and project complexity. Many positions require good listening skills and familiarity with audio editing tools, and pay can vary based on the workload and client requirements.

Are Babel audio jobs legitimate?

Babel audio jobs, which typically involve transcription or audio editing tasks, are generally legitimate if offered by reputable companies or platforms. However, job seekers should verify the employer's credibility, avoid upfront payment requests, and review reviews or ratings to ensure the opportunity is genuine.

What are the key skills and qualifications needed to thrive as a Babel, and why are they important?

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Babel jobs near you

Principal Engineer, API & MCP Platform

Hatch IT

Reston, VA • On-site, Remote

Full-time

Posted 20 days ago

Job description

hatch I.T. is partnering with Babel Street to find a Principal Engineer, API & MCP Platform. Please see details below:

About the Role

Babel Street is seeking a Principal Engineer to lead Babel Street’s API and MCP platform strategy and delivery as we evolve toward an AI-native, agent-driven platform. 

This is a hands-on, senior technical leadership role responsible for defining and delivering API-first platform capabilities that enable both developers and AI agents to interact with Babel Street’s services. You will lead the design and implementation of semantic APIs, Model Context Protocol (MCP) integrations, and context-aware service patterns that power next-generation intelligence workflows. 

This role requires a finger-on-keyboard engineer who can both define direction and deliver foundational systems. You will partner closely with AI, Data, and Platform teams to ensure Babel Street’s APIs and services are consistent, discoverable, scalable, and optimized for agentic workflows. 

You will work in close partnership with the Architecture function to align on long-term technical direction, ensuring API and MCP platform decisions are consistent with the company’s broader architectural vision while maintaining a strong focus on execution and delivery. 

This is a hybrid role working out of either their Reston, VA or Somerville, MA office. Full remote may be considered.

About the Company

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.

Why this role matters:

This role will be instrumental to Babel Street’s AI-native technology strategy. The API and MCP platform will serve as the interface layer between data, AI, and product capabilities, enabling agents, developers, and systems to interact seamlessly. 

This is a high-impact, senior technical leadership role with broad influence across the organization and the opportunity to shape the future of Babel Street’s platform.  The position spans four core domains: 

API Platform & Strategy 

You will define and lead Babel Street’s API-first platform strategy, establishing consistent patterns for service design, versioning, discoverability, and governance. 

You will help evolve the platform toward agent-ready APIs, ensuring services are consumable by both human developers and AI agents. You will establish standards for API consistency, reliability, and performance across the organization. 

You will also work closely with product and engineering teams to ensure APIs are designed as first-class platform capabilities, not just service interfaces. 

MCP & Agent Integration 

You will lead Babel Street’s Model Context Protocol (MCP) strategy and implementation, enabling agents and AI systems to interact with services in a standardized and scalable way. This includes defining patterns for: 

  • MCP service exposure 
  • Tool and service discovery  
  • Agent-to-service communication  
  • Context-aware interactions  

You will partner closely with AI and platform teams to enable agent-native workflows across the organization. 

Semantic APIs & Agent-Ready Interfaces 

You will lead the design of semantic, agent-friendly APIs, where documentation becomes a first-class interface for AI-driven systems. This includes defining standards for: 

  • API descriptions optimized for agents 
  • Schema consistency and semantic modeling  
  • Tool and service discoverability  
  • API documentation optimized for agent consumption  

You will establish best practices for documentation-as-code, ensuring APIs are designed for both developers and AI systems. 

Context Management & Runtime Patterns 

You will define patterns for context-aware APIs and services, including: 

  • Context management and retrieval 
  • Context caching  
  • Session and state management  
  • Memory-aware service interactions  

You will help design scalable context-aware systems leveraging technologies such as Vertex AI Context Caching and related frameworks. 

What you will do:
  • Partner closely with Architecture to define and lead Babel Street’s API and MCP platform strategy 
  • Design and deliver semantic, agent-ready APIs  
  • Establish MCP standards and implementation patterns  
  • Define context management patterns for agent workflows  
  • Partner with AI and Data teams to enable agent-native architectures  
  • Establish API governance and platform standards  
  • Build foundational frameworks and reusable components  
  • Provide hands-on technical leadership and mentorship  
  • Partner with Google and other vendors on platform capabilities  
  • Drive adoption of API and MCP standards across engineering teams  
What you will bring:

Required Qualifications 

  • 10+ years of software engineering experience 
  • Experience operating at Principal Engineer or Staff+ level 
  • Strong hands-on experience building distributed systems  
  • Experience designing and building API-first platforms 
  • Experience with cloud-native architectures (GCP preferred)  
  • Experience building developer platforms or service-oriented architectures  
  • Strong system design and architectural thinking skills 
  • Proven ability to lead cross-team technical initiatives  

Preferred Qualifications 

  • Hands-on work with Google Cloud Platform (GCP) 
  • Familiarity with Vertex AI Agent Engine  
  • Background in ADK and reasoning frameworks such as LangChain 
  • Understanding of the Model Context Protocol (MCP)  
  • Exposure to data warehouse technologies like BigQuery and Snowflake 
  • Knowledge of Apigee or similar API gateway solutions  
  • Proven ability to design semantic APIs for AI or agent-driven use cases  
  • Experience managing context or building memory systems  
  • Development of agent-based architectures or orchestration frameworks  
  • Exposure to Anti-Gravity 
What success looks like:

30 Days 

  • Assess current API and platform architecture 
  • Define API and MCP platform strategy  
  • Identify early opportunities for standardization  

60 Days 

  • Deliver initial platform frameworks and standards 
  • Begin rollout of semantic API patterns  
  • Establish MCP integration approach  

90 Days 

  • Agent-ready APIs in production 
  • MCP-enabled services deployed
  • Clear platform standards adopted across teams
  • Measurable improvement in API consistency and developer velocity  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.