Jalasoft
Technology
SeniorAIIntegrationEngineer
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“Senior AI Integration Engineer at Jalasoft. Skills: API Integration, AI Agents, Distributed Systems, Scalability. Build high-performance API layers. Build secure API layers”
Industry & Context.
What They're Looking For.
Must Have
8+ years Backend Software Engineering, 4+ years Resiliency Engineering, 2+ years AI & Agentic Systems, Advanced API Design & Context Optimization, Production-level C# (. NET Core), Production-level Java, Production-level Python, Production-level Node.js/TypeScript, Enterprise Scalability & Traffic Management, Lock & Contention Mitigation, Hardened Security, Governance & AI Isolation
Nice to Have
GraphQL and dynamic JSON/gRPC filtering, Custom MCP server development, Heterogeneous schema merging, Semantic token-aware API pagination, Context-aware gateways, Edge performance, PostgreSQL and OpenSearch/Elasticsearch access, Reactive streams and rate-limiting, Circuit Breakers, Bulkheads, and Retry-with-Exponential-Backoff, Amazon MemoryDB / Redis OSS / Valkey, Optimistic Concurrency Control (OCC), CQRS separating high-volume writes, Asynchronous write delegation, Zero Trust security, Security proxy layers over Amazon Bedrock, End-to-end API runtime tracing
What You'll Do.
Build high-performance API layers
Build secure API layers
Build production-grade API layers
Build custom MCP servers
Build real-time data delivery services
Optimize services for human applications
Optimize services for AI agents
Operate at high throughput
Build integration layers for AI agents
Full Job Description
We're looking for a Senior Integration Engineer to build high-performance, secure, and production-grade API layers, custom Model Context Protocol (MCP) servers, and real-time data delivery services optimized for both human applications and autonomous AI agents. This role requires experience operating at high throughput — thousands of requests per second — and building integration layers that AI agents rely on directly. **Requirements** **Must-Have** * Overall Experience: 8+ years in Backend Software Engineering, Distributed Systems Architecture, or Enterprise Platform Engineering * Resiliency Engineering: 4+ years architecting mission-critical systems requiring "four-nines" (99.99%) availability, rigorous traffic shaping, and self-healing systems * AI & Agentic Systems: 2+ years building production-grade integration layers, semantic context gateways, or RAG endpoints consumed by LLMs and autonomous AI agents * Proficiency in Advanced API Design & Context Optimization * Production-level proficiency in one or more of: C# (.NET Core), Java, Python, or Node.js/TypeScript * Proficiency in Enterprise Scalability & Traffic Management * Proficiency in Lock & Contention Mitigation (API & Database Tier) * Proficiency in Hardened Security, Governance & AI Isolation **Preferred Experience** * GraphQL and dynamic JSON/gRPC filtering layers (zero-waste data fetching) * Custom MCP server development for LLM context exposure * Heterogeneous schema merging for LLM tool-calling (e.g., relational DBs, analytics platforms like Pendo/Hotjar, observability tools) * Semantic token-aware API pagination and streaming * Context-aware gateways for conditional object graph hydration based on agent intent * Edge performance: CloudFront Functions, Lambda@Edge, HTTP/3, WebSockets * PostgreSQL and OpenSearch/Elasticsearch access layers with sub-millisecond caching * Reactive streams and rate-limiting for Amazon MSK (Kafka), SQS, and HTTP endpoints * Circuit Breakers, Bulkheads, and Retry-with-Expo
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