Senior Software Engineer - Generative AI

Acuity Insurance is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities. This role involves collaborating with engineers and business partners to deliver secure and scalable AI solutions, while also mentoring team members and troubleshooting production issues.

Responsibilities:

• Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems
• Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity
• Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables
• Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations
• Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations
• Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing
• Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic
• Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks
• Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning
• Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles
• Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines
• Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring
• Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations
• Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns
• Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety
• Participate in regular attendance and complete mandatory training programs as assigned by Acuity
• Perform other duties as assigned

Requirements:

• Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field
• 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs
• Expertise across a wide range of tools and technologies, including programming languages such as Java, Python, and JavaScript
• Experience with relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases
• Familiarity with web UI frameworks such as Vue, React, or Angular
• Knowledge of software development workflows, CI/CD pipelines and version control tools
• Experience with AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering
• Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data
• Familiarity with AI Observability tools to monitor and debug AI responses
• Understanding API Management, including rate limiting, latency, and token cost optimization
• Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services
• Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions
• Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches
• Strong communication skills and ability to work with cross functional teams
• Excellence in documentation, testing practices, and operational reliability
• Ability to stay current with AI advancements, LLM research, and evolving best practices
• Passion for building reliable, safe, and impactful Generative AI systems