Senior AI Integration Engineer

About the Role

We are seeking a Senior Integration Engineer to architect and develop high-performance, secure, and production-grade API layers, custom Model Context Protocol (MCP) servers, and real-time data delivery services. This role is crucial for supporting both human applications and autonomous AI agents that operate at high throughput (thousands of requests per second).

Responsibilities

• Build high-performance, secure, and production-grade API layers.
• Develop custom Model Context Protocol (MCP) servers.
• Create real-time data delivery services optimized for human applications and autonomous AI agents.
• Engineer integration layers that AI agents rely on directly.

Must-Have Requirements

• 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: Advanced API Design & Context Optimization.
• Programming Languages: Production-level proficiency in one or more of: C# (.NET Core), Java, Python, or Node.js/TypeScript.
• Scalability & Traffic Management: Proficiency in Enterprise Scalability & Traffic Management.
• Lock & Contention Mitigation: Proficiency in Lock & Contention Mitigation (API & Database Tier).
• Security & Governance: Proficiency in Hardened Security, Governance & AI Isolation.

Preferred Experience

• GraphQL and dynamic JSON/gRPC filtering layers.
• 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 holidays
• 15 vacation days per year completed
• Good working environment

Equal Opportunity Employer

Jalasoft is an equal opportunity employer. Every qualified candidate will be considered without distinction. Employment decisions are made without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group unrelated to qualifications and suitability.