Senior Software Engineer II

About The Role:
This position performs complex research, design, and software development assignments in the design and delivery of production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. The position provides direct input to project plans, schedules, and methodology for cross-functional AI products; performs system design, typically across multiple systems and data sources; mentors more-junior members of the team; and works directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.
Requirements:
5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production
BS in Engineering/Computer Science or equivalent experience required
Demonstrated track record of owning an AI feature or service end to end: design, evaluation, deployment, and monitoring
Expert proficiency in TypeScript/Node.js and/or Python; working knowledge of C#/.NET is a plus
Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent), including prompt design, tool/function calling, structured outputs, and model selection tradeoffs
Experience building RAG pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding/citation
Strong understanding of schema-driven structured extraction from unstructured data (Zod, Pydantic, JSON Schema) and validation strategies
Experience with evaluation frameworks for AI systems: golden datasets, LLM-as-judge, precision/recall on extraction tasks, regression testing of prompts and agents
Strong SQL proficiency and understanding of relational and vector data storage (SQL Server, PostgreSQL, Elasticsearch/vector stores)
Working experience with both AWS and Azure, including compute, storage, networking, IAM, and managed AI services; containerized deployment (Docker, Kubernetes or equivalent), secrets management, and observability (token usage, latency, cost attribution)
Strong knowledge of software development best practices, test-driven development, and code review
Responsibilities:
Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units
Interface with business stakeholders and technical team members to scope AI use cases, define success metrics, and finalize requirements
Write and review detailed technical specifications and architecture documents for complex AI system components
Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production
Implement responsible AI practices: data handling, PII controls, hallucination mitigation, auditability, and human review where required
Own cost and performance of LLM workloads, including model selection, caching, and usage attribution
Build and maintain CI/CD pipelines and deployment automation for AI services across AWS and Azure environments
Operate in Agile development environments while collaborating with key stakeholders across engineering, product, and business functions
Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice


U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.






We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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