Senior Software Engineer - Generative AI

Acuity • Sheboygan, WI

2d

About The Position

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.

Requirements

• Bachelor’s degree or equivalent combination of education and experience in software engineering, computer science, or related field.
• A software engineer with 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.
• 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.
• 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.

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.

Benefits

• Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more.
• A full description of benefits and eligibility will be provided to candidates during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level