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Senior NodeJS AI Engineer
Remote in Georgia, & 3 others
Node.js, RAG Applications Development
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We are looking for a quick-learning engineer with proven production AI adoption to implement advanced RAG, agent-based capabilities, robust API and MCP integrations, and rigorous evaluation/testing. The focus is AI architecture and reliability first, with solid backend, CI/CD, observability and SAP HANA via TypeORM.
Responsibilities
Design and implement agentic capabilities such as tool/function calling, planning, memory/state, safety guardrails and failure recovery for production stability
Build advanced RAG pipelines on OpenSearch including hybrid retrieval, index/chunking strategies, embeddings/rerankers, query rewriting and retrieval evaluation
Development and maintenance of API and MCP integrations, implementation of MCP servers/clients, capability manifests, tool adapters and clean versioned REST/WebSocket APIs
Creation and iteration of prompt strategies covering instruction/few-shot design, tool-aware prompting, structured outputs/JSON and prompt governance/guardrails
Establish AI quality evaluation and testing with RAGAS, DeepEval (or similar), regression suites, red teaming and offline/online metrics
Implement data access with SAP HANA using TypeORM including schema modeling, performant queries, migrations and secure data handling
Ensure observability and performance through service instrumentation, latency/cost/quality tracking with Dynatrace, SLIs/SLOs definition and optimization of LLM workloads
Build and maintain CI/CD for Kyma/Kubernetes including automated tests, security scanning, container build/versioning, safe rollbacks and environment configuration
Collaboration with product and architecture, documentation of designs and participation in reviews
Requirements
5+ years of experience as a NodeJS engineer with proven production AI adoption
Expertise in agentic capabilities including tool/function calling, planning and memory/state
Proficiency in advanced RAG pipelines on OpenSearch with hybrid retrieval, embeddings/rerankers and query rewriting
Skills in API and MCP integrations including MCP servers/clients, tool adapters and REST/WebSocket APIs
Competency in prompt strategies covering instruction/few-shot design, structured outputs/JSON and prompt governance
Background in AI quality evaluation with RAGAS, DeepEval and regression suites
Knowledge of SAP HANA, TypeORM and secure data handling
Familiarity with observability and performance using Dynatrace, SLIs/SLOs and LLM workload optimization
Understanding of CI/CD for Kyma/Kubernetes including automated tests, security scanning and safe rollbacks
Nice to have
| Location | GA |