2 дня назад
Staff Engineer - Agentic AI
132 600 - 182 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer - Agentic AI (Generative AI/LLM): Building and operating an enterprise-scale agentic AI platform that enables autonomous agents to understand, plan, and execute multi-step tasks with an accent on LLM architectures, context engineering, retrieval, and orchestration. Focus on designing scalable GenAI systems, implementing LLMOps evaluation and observability, and solving reliability, grounding, security, and agent failure-mode challenges.
Location: USA - Remote
Salary: $132,600–$182,250 per year, plus a target annual bonus of 20% of base salary.
Company
is an environmental services corporation providing recycling, waste management, hazardous waste, and sustainability solutions across North America.
What you will do
- Own the end-to-end development of an enterprise-scale agentic AI platform for autonomous, multi-step workflows.
- Design scalable architectures integrating LLMs, agent frameworks, AI services, enterprise data, and existing platforms.
- Build retrieval, memory, tool-use, orchestration, and context-engineering pipelines using technologies such as MCP, A2A, and function calling.
- Establish prompt, context, code, evaluation, regression, observability, guardrail, and CI/CD practices for LLM and agent lifecycles.
- Lead technical design reviews and collaborate with enterprise and solution architects on security, resilience, latency, scalability, and token economics.
- Mentor engineers and provide technical input on hiring, performance, and promotions without direct people management.
Requirements
- 7–10 years of progressively complex experience building and scaling enterprise software systems, including recent hands-on GenAI or agentic AI production experience.
- Strong expertise in generative AI, transformer-based models, prompt and context engineering, RAG, GraphRAG, and agentic patterns such as ReAct, planner/executor, and multi-agent orchestration.
- Experience with GenAI frameworks including LangChain, LangGraph, Semantic Kernel, or similar tools, plus model-serving and agent orchestration platforms.
- Experience with cloud architectures such as AWS Bedrock, GCP AI, or kore.ai; containerized and serverless deployments; and LLMOps practices.
- Background in AI data engineering, vector databases, hybrid search, reranking, knowledge graphs, embeddings, semantic layers, APIs, microservices, and event-driven systems.
- Visa sponsorship is not available for this position.
Nice to have
- Experience with multimodal models, function calling, structured output, RLHF/RLAIF, and multi-agent AI systems.
- Familiarity with LangSmith, LangFuse, Splunk, CloudWatch, automated red-teaming, and guardrail enforcement.
- Bachelor's degree in Computer Science or Data Science.
Culture & Benefits
- Benefits include medical, dental, vision, disability, life insurance, and employee assistance programs.
- Retirement plan with company match and an employee stock purchase plan.
- Paid time off, employee discount programs, and health care and dependent care spending accounts.
- Work in an organization focused on environmental responsibility, sustainability, safety, and responsible AI practices.
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