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Jalasoft

We provide the best software engineering solutions by investing in our people first.

Senior AI Integration Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2003H1B No SponsorCompany SiteLinkedIn

Location

Colombia

Posted

2 days ago

Salary

0

Seniority

Senior

Job Description

Senior AI Integration Engineer

Jalasoft

• Build high-performance, secure, and production-grade API layers • Develop custom Model Context Protocol (MCP) servers • Implement real-time data delivery services optimized for human applications and autonomous AI agents • Operate at high throughput — handling thousands of requests per second • Build integration layers relied on by AI agents

Job 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

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