Senior AI Integration Engineer

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Jalasoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• 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

🎯 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