Senior AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI/LLM): Building and deploying scalable Generative AI and Machine Learning systems for an enterprise planning platform with an accent on LLM integration and agentic workflows. Focus on designing end-to-end GenAI features, optimizing model inference pipelines, and implementing RAG for business planning use cases.
Location: Remote, United States (Pennsylvania)
Company
is a leading AI-infused scenario planning and analysis platform used by Fortune 50 companies to optimize business decision-making.
What you will do
- Architect and deploy scalable Generative AI and Machine Learning systems into production environments.
- Develop end-to-end GenAI features, including backend API services, model monitoring, and evaluations.
- Optimize LLMs for specific business planning use cases through prompt engineering and RAG implementation.
- Build conversational interfaces and agentic workflows to simplify complex planning tasks.
- Implement evaluation frameworks to measure GenAI accuracy, latency, and user satisfaction.
- Lead technical design discussions and mentor junior and mid-level engineers.
Requirements
- Extensive hands-on experience in AI, ML, or related engineering fields.
- Demonstrated experience deploying and maintaining ML models in production environments.
- Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with MLOps, LLMOps, and autonomous agent architectures.
- Proficiency in Python and modern software development practices (CI/CD, testing, code review).
- Must be based in the United States.
Nice to have
- Knowledge of vector databases such as Pinecone, Weaviate, or Qdrant.
- Experience with model serving frameworks like vLLM, TensorRT, or Ray.
- Familiarity with model observability tools (LangSmith, W&B, MLflow).
- Experience with A/B testing and experimentation frameworks for AI features.
Culture & Benefits
- Founding member role in a greenfield team building transformative AI capabilities.
- A "Winning Culture" that champions diversity of thought and leadership at all levels.
- Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB).
- Professional environment driven by strategy-led and values-based operating principles.
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