Principal Engineer, API & MCP Platform
Share
Job Location:
Somerville, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Streets API and MCP platform strategy and delivery as we evolve toward an AI-native agent-driven platform.
This is ahands-on senior technical leadership roleresponsible for defining and deliveringAPI-first platform capabilitiesthat enable both developers and AI agents to interact with Babel Streets services. You will lead the design and implementation ofsemantic APIs Model Context Protocol (MCP) integrations and context-aware service patternsthat power next-generation intelligence workflows.
This role requires afinger-on-keyboard engineerwho can both define direction and deliver foundational systems. You will partner closely with AI Data and Platform teams to ensure Babel Streets APIs and services areconsistent 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 companys broader architectural vision whilemaintaininga 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 worlds 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 inReston Virginia withregionaloffices in BostonMAand Cleveland OH andinternationaloffices inAustralia Canada Israel Japan and the U.K.
Why this role matters:
This role will be instrumentaltoBabel Streets 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 Streets platform.The position spans four core domains:
API Platform & Strategy
You will define and lead Babel StreetsAPI-first platform strategyestablishingconsistent patterns for service design versioning discoverability and governance.
You will help evolve the platform towardagent-ready APIs ensuring services are consumable by both human developers and AI agents. You willestablishstandards for API consistency reliability and performance across the organization.
You will also work closely with product and engineering teams to ensure APIs are designed asfirst-class platform capabilities not just service interfaces.
MCP & Agent Integration
You will lead Babel StreetsModel Context Protocol (MCP)strategy and implementation enabling agents and AI systems to interact with services in a standardized and scalable 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 enableagent-native workflowsacross the organization.
Semantic APIs & Agent-Ready Interfaces
You will lead the design ofsemantic agent-friendly APIs where documentation becomes a first-class interface for AI-driven includes defining standards for:
- API descriptionsoptimizedfor agents
- Schema consistency and semantic modeling
- Tool and service discoverability
- API documentation optimized for agent consumption
You willestablishbest practices fordocumentation-as-code ensuring APIs are designed for both developers and AI systems.
Context Management & Runtime Patterns
You will define patterns forcontext-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 systemsleveragingtechnologies such asVertex AI Context Cachingand related frameworks.
What you will do:
- Partner closely with Architecture to define and lead Babel Streets 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
Required Experience:
Staff IC
About Company
hatch I.T. is a specialized technology recruiting firm supporting emerging tech startups that need to grow their engineering, data, and product teams.
