Senior NodeJS AI Engineer

EPAM Systems Inc

  • GA
  • 30+ days ago
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    Skills

    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Data Migrationunmatched
    • Documentationunmatched
    • Editingunmatched
    • Information/Data Security (InfoSec)unmatched
    • Instrumentationunmatched
    • JSONunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Memory Hardwareunmatched
    • Node.jsunmatched
    • REST (Representational State Transfer)unmatched
    • SAPunmatched
    • Shallow Parsingunmatched
    • Test Automationunmatched
    • Testingunmatched
    • Web Analyticsunmatched

    Description

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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

    • Knowledge of SAP Joule

    Numbers & Facts

    LocationGA

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