Senior AI Integration Engineer

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-Exponential-Backoff (Polly, Resilience4j, or equivalent)
• Amazon MemoryDB / Redis OSS / Valkey for rate limiters, session caches, and semantic query caching
• Optimistic Concurrency Control (OCC) via eTags/versions; Pessimistic Locking only where strictly necessary
• CQRS separating high-volume writes from intensive read queries in PostgreSQL
• Asynchronous write delegation for high-contention API writes to Kafka/MSK
• Zero Trust security: OAuth2, OIDC, mTLS, and AWS Lake Formation
• Security proxy layers over Amazon Bedrock (prompt injection filtering, PII redaction, API token quota enforcement)
• End-to-end API runtime tracing with OpenTelemetry (oTel) and Datadog

Benefits

• Remote work
• 13 floating holiday
• 15 vacation days per year completed
• Good working environment

Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction.

Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.