18 часов назад
Senior Software Engineer / Senior AI Engineer (AI)
86 600 - 144 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer / Senior AI Engineer (AI): Building and shipping production-grade AI-powered features, including RAG pipelines, tool-augmented agents, and agentic workflows integrated with enterprise systems with an accent on evaluation, observability, guardrails, and reusable engineering patterns. Focus on designing multi-step agent systems, connecting AI capabilities through APIs and data pipelines, and measuring usage, productivity, and quality against established baselines.
Location: Philadelphia, United States
Salary: $86,600–$144,400 annual base pay, plus eligibility for an annual incentive bonus.
Company
provides information, analytics, data, and technology supporting scientific research, health education, healthcare, and clinical practice.
What you will do
- Build prototypes, proofs of concept, and production-ready agentic AI solutions within cross-functional Innovation Squads.
- Implement and test tool use, retrieval pipelines, agent workflows, memory, and context management.
- Integrate AI capabilities into enterprise systems through APIs and data pipelines.
- Contribute to evaluation, observability, guardrails, outcome measurement, and baseline comparisons.
- Maintain high-quality code and documentation while creating reusable patterns, reference implementations, and starter kits.
- Collaborate with stakeholders and technical peers, identify risks early, and support solution handover and operational ownership.
Requirements
- 3+ years of software engineering experience, including production LLM-powered applications using RAG, tool-augmented agents, or agentic workflows.
- Experience with prompt engineering, context management, agent memory, tools, retrieval, evaluation, and observability.
- Proficiency in Python, Java, TypeScript or JavaScript, SQL, and relevant AI SDKs.
- Experience integrating AI into enterprise systems and working with APIs, data pipelines, relational, columnar, and vector stores.
- Knowledge of AWS, Azure, or GCP, along with CI/CD, modern SDLC, TDD, code review, and sound data modelling.
- Ability to work autonomously, communicate clearly, deliver in time-boxed cycles, and measure usage, productivity, and quality outcomes.
Culture & Benefits
- Cross-functional, collaborative environment focused on innovation and validated customer outcomes.
- Flexible working hours to support individual productivity and work-life balance.
- Comprehensive pension plan and generous vacation entitlement.
- Sabbatical leave, parental and family-care leave, and study assistance.
- Personal Choice budget, employee discounts, internal communities, and a global Employee Assistance Program.
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