2 дня назад
Senior Software Engineer (AI)
140 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building scalable full-stack web applications, enterprise APIs, microservices, and production AI solutions for financial workloads with an accent on agentic workflows, semantic search, cloud deployment, and secure integrations. Focus on integrating large language models, designing multi-step AI agents, implementing governance and observability, and operating reliable systems on Kubernetes.
Location: Remote - Virginia, US
Salary: $140,000–$160,000 base salary annually
Company
SS&C provides AI-powered technology and services for financial services and healthcare organizations.
What you will do
- Design, develop, and maintain scalable full-stack web applications using TypeScript, JavaScript, Python, Nest.js, Node.js, and Angular.
- Build reusable frontend components, backend microservices, RESTful APIs, GraphQL services, and event-driven integrations for high-volume financial workloads.
- Integrate large language models into production applications, including assistants, copilots, workflow automation, conversational experiences, semantic search, and agentic workflows.
- Implement prompt engineering, model evaluation, guardrails, responsible AI practices, and AI governance controls.
- Deploy and operate cloud workloads using Azure, AWS, or Google Cloud with CI/CD, infrastructure as code, containers, Kubernetes, monitoring, and observability.
- Collaborate with Product Managers, Architects, Data Engineers, Security teams, and business stakeholders on scalable technical solutions and architecture decisions.
Requirements
- 5+ years of software engineering experience spanning frontend and backend development.
- Strong proficiency in TypeScript, JavaScript, Java, and Python, with experience in Angular, Node.js, Nest.js, Spring, JPA, FastAPI, or equivalent frameworks.
- Experience with REST APIs, microservices, event-driven architecture, Kafka or Pulsar, Spark, relational and NoSQL databases, vector databases, and data platforms.
- Hands-on experience implementing AI-powered applications in production, including LangChain or LangGraph, RAG, embeddings, model evaluation, and AI observability tooling.
- Experience with cloud platforms, CI/CD, Docker, Kubernetes, infrastructure automation, distributed tracing, and metrics logging.
- Experience building enterprise-grade solutions for critical business processes and communicating complex technical concepts clearly.
Nice to have
- Experience with Splunk, Grafana, Loki, or Prometheus.
- Background in financial services, banking, alternative asset management, or FinTech.
- Experience designing data pipelines and data lakehouse solutions for large, disconnected datasets.
Culture & Benefits
- Collaboration across engineering, architecture, product, project management, and QA teams.
- Hybrid work model and flexible personal or vacation time off.
- Medical, dental, and vision coverage, sick leave, paid holidays, parental leave, and employee assistance services.
- 401(k) plan with company matching and professional development reimbursement.
- Hands-on training through SS&C University and team-customized learning programs.
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