8 часов назад
Software Engineer, AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, AI (AI platform and LLM infrastructure): Building NICE’s internal AI platform, including MCP integrations, agent orchestration, model gateways, RAG pipelines, and developer tooling with an accent on production-grade full-stack engineering and Azure-based services. Focus on designing multi-agent systems, routing and evaluating LLMs, optimizing vector retrieval, and operating observable AI services in production.
Location: Hybrid role based in Atlanta, GA; Hoboken, NJ; or Sandy, UT, with 2 days in the office and 3 days working remotely each week.
Company
develops AI, cloud, and digital software used by global businesses for customer experience, financial crime prevention, and public safety.
What you will do
- Build the MCP integration layer and A2A interoperability capabilities connecting enterprise systems to AI agents.
- Develop production-grade agent frameworks, orchestration flows, memory systems, and use-case-specific automation agents.
- Engineer a unified Models Gateway with provider abstraction, routing, fallback, quota, cost, and latency controls.
- Design document ingestion, hybrid retrieval, re-ranking, vector infrastructure, prompt management, and LLM evaluation pipelines.
- Build internal SDKs, GitHub Actions workflows, and developer tooling for AI platform adoption.
- Instrument services with OpenTelemetry, create Azure Monitor dashboards and alerts, and participate in on-call support.
Requirements
- 2–5 years of professional software engineering experience with Python or TypeScript in production environments.
- Hands-on experience building and deploying LLM-powered applications, including RAG pipelines, agents, tool use, or prompt engineering systems.
- Strong knowledge of REST API design, asynchronous programming, event-driven architecture, Git workflows, testing, and documentation.
- Experience with an agent or orchestration framework such as LangChain, LangGraph, AutoGen, or CrewAI.
- Practical Azure experience, including Azure OpenAI, Azure Storage, and Azure Container Apps or AKS.
- Fluent English and availability for the stated hybrid office arrangement are required.
hirify.global-to-have"> to have
- Experience with MCP servers or clients, Anthropic Claude API, and multi-turn tool-use patterns.
- Experience with vector databases such as Azure AI Search, pgvector, Qdrant, Weaviate, or Pinecone.
- Knowledge of LLM evaluation frameworks, GitHub Copilot Enterprise configuration, or enterprise IT integrations.
- Familiarity with OpenTelemetry, Azure Monitor, or Grafana.
Culture & Benefits
- Hybrid -FLEX model with two office days and three remote days each week.
- Fast-paced, collaborative, and creative environment within a global organization.
- Opportunities for learning, growth, and internal career development across roles, disciplines, and locations.
- Work on mission-critical AI, cloud, and digital platforms used by thousands of businesses.
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