13 часов назад
Senior AI Application Engineer (AI)
178 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Application Engineer (Agentic AI/LLMs): Building scalable multi-agent systems, secure tool-calling APIs, and data pipelines that provide context to AI with an accent on agent orchestration, LLMOps, and AI-specific security. Focus on designing enterprise agent architectures, integrating LLM APIs and databases, and mitigating prompt injection, hallucination loops, and unauthorized tool execution.
Location: New York, NY, USA; eligible for hire in select U.S. locations
Salary: $178,000–$215,000 yearly
Company
provides commercialization services, products, and solutions for the life sciences industry, serving biotech and pharmaceutical clients and supporting patient access to innovative therapies.
What you will do
- Architect, design, and implement scalable multi-agent systems for complex, multi-step business processes.
- Translate existing processes into agentic solutions and develop multi-agent architectures for new opportunities.
- Build agentic applications using orchestration frameworks such as Google ADK, LangGraph, and CrewAI.
- Design secure tool-calling architectures that connect LLMs with internal databases, CRMs, and APIs.
- Implement LLMOps and AgentOps practices while mitigating prompt injection, hallucination loops, and unauthorized tool execution.
- Collaborate with clients, stakeholders, and off-site personnel; some travel may be required.
Requirements
- Ph.D. in computer science, engineering, mathematics, physics, artificial intelligence, software engineering, or a closely related field.
- 7+ years of software engineering experience, including 3+ years in generative AI, LLMs, or cognitive architectures.
- Expert-level Python and/or TypeScript skills and proficiency in Rust.
- Experience with MCP architectures, agentic design patterns, LLM APIs, and open-weights models.
- Experience with vector and graph databases and RAG architectures such as GraphRAG and hybrid search.
- Strong cloud architecture experience with AWS, GCP, or Azure, plus Docker and Kubernetes containerization.
Nice to have
- Enterprise-scale deployment experience with multi-agent architectures.
- Expert-level proficiency in Rust.
- Extensive experience with RAG architectures.
Culture & Benefits
- Full-time schedule of 40 hours per week, Monday through Friday.
- Competitive salary and employee benefits.
- Inclusive culture focused on diversity, equity, and inclusion.
- Values include patient-minded work, client delight, continuous development, collaboration, transparent communication, and innovation.
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