2 дня назад
Senior Software Engineer, AI/ML (AI Infrastructure & Platform)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, AI/ML (AI Infrastructure & Platform) (AI infrastructure and platform): Building foundational systems for production AI applications, including LLM orchestration, agentic workflows, retrieval pipelines, and model integrations with an accent on distributed infrastructure, reusable abstractions, and secure tool execution. Focus on designing scalable RAG and evaluation systems, implementing observability and fault tolerance, and optimizing AI workloads for latency, throughput, and cost.
Location: Hybrid, New York City, United States
Salary: $200,000–$250,000 per year, plus equity
Company
provides an estate planning technology platform for wealth management and financial institutions, combining proprietary AI, security, and legal expertise.
What you will do
- Design and build platforms for LLM orchestration, tool execution, and multi-step agent workflows.
- Develop shared services, SDKs, APIs, and reusable abstractions for AI applications and agent capabilities.
- Build infrastructure for state management, tool routing, retries, failure handling, and reliable interaction with sensitive data.
- Create offline and online evaluation frameworks with logging, tracing, and monitoring for AI behavior and system performance.
- Develop scalable RAG pipelines, indexing systems, and structured and unstructured data processing workflows.
- Partner with AI Applications engineers to translate product needs into secure, reliable, and cost-efficient infrastructure.
Requirements
- Degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Strong software engineering fundamentals, including system design, distributed systems, and maintainable code.
- Production experience building and operating systems at scale, including backend systems, APIs, or infrastructure platforms.
- Proficiency in Python, TypeScript, and C#, with the ability to work across a polyglot stack.
- Production experience with AI/ML systems, including LLM integrations, data pipelines, or AI platform infrastructure.
- Experience with cloud infrastructure, containerized or serverless deployments, event-driven systems, queues, async processing, MLOps, CI/CD, and production monitoring.
Nice to have
- Experience with RAG systems and vector databases such as Pinecone, Weaviate, or pgvector.
- Experience with agent orchestration frameworks such as LangGraph or LangChain.
- Experience designing tooling layers, capability abstractions, or evaluation and observability systems for AI.
- Experience in regulated domains such as LegalTech, FinTech, or HealthTech.
- Familiarity with data privacy and security techniques, including PII handling and redaction.
Culture & Benefits
- Collaborative and supportive environment focused on innovation and ownership.
- Medical, dental, and vision insurance with low-cost premium options.
- Company-paid basic life insurance and short- and long-term disability insurance.
- Paid parental leave upon eligibility.
- Company equity managed through Carta and a 401(k) with matching and immediate vesting.
- Flexible PTO, paid holidays, and birthday time off.
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