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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Cerberus, LLC - **Location:** Mundelein, IL, United States - **Experience:** Expert - **Salary:** $160,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Business Systems, Code Review, Databases, Continuous Integration, Relational Databases, Cursor, Distributed Systems, Python (Programming Language), OpenAI, AI-enabled Products, Service Design, Software Engineering, SQL Databases, Systems Architecture, Systems Integration, TypeScript, Workflow Management Systems, Enterprise Data Management, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Grafana, Software Application Programming, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Git, Fastapi, Microsoft Fabric, LangSmith, Sentry, Data Management, Tools for Reporting, Front End Software Development, Claude, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/e136de55-a3ed-4960-b3bf-6947b29d13eb/ai-engineer ## About the Role We're a small, high-impact and entrepreneurial team with a broad remit. We're looking for an Associate or Senior Associate-level software engineer with strong full-stack engineering fundamentals who is excited to build internal applications, AI-enabled products and data-driven tools. We don't expect every candidate to check every box, but strong candidates will combine hands-on software engineering ability with sound product judgement and strong communication skills., * Strong software engineering foundation: Degree in a STEM field or equivalent experience, with a track record of building reliable applications, backend services, internal tools, APIs or production systems. \n * Python expertise: Skilled in writing production-grade Python, including clean APIs, type hints, testing, packaging and maintainable service design. \n * Backend development: Experience building backend services and APIs using FastAPI or similar frameworks, with an ability to reason about reliability, maintainability, observability and system design. \n * Frontend development: Experience building modern frontends using React and TypeScript, with an ability to create practical, usable interfaces for business users. \n * Databases and SQL: Strong understanding of relational databases, data modelling and SQL, with the ability to write efficient, maintainable queries and work with structured business data. \n * Data applications: Experience building applications, workflows or analytics products on top of enterprise data platforms, relational databases, APIs or business systems. Familiarity with tools such as Microsoft Fabric, Databricks or Rayfin is helpful but not required. \n * System architecture: Experience working with distributed systems, monolithic systems, or both, and the judgement to choose the right architecture for the problem rather than over-engineering by default. \n * Workflow orchestration: Exposure to Temporal or similar orchestrators is a plus, especially for multi-step, long-running or failure-prone workflows. \n * AI/ML tooling and agent development: Experience building or implementing AI agents in code for use cases such as analytics, data management, application building or business process automation. \n * LLM provider APIs: Experience interacting with LLM provider APIs such as OpenAI, Anthropic or similar services, including tool use, structured outputs, evaluation and monitoring considerations. \n * Agent frameworks and observability: Familiarity with tools such as LangChain, LangGraph, LangSmith or Langfuse is helpful but optional. We care more about sound engineering judgement than any single framework. \n * Vector databases and retrieval: Experience with vector databases, embeddings or retrieval-augmented generation is useful but not required. \n * AI coding tools: Familiarity with AI coding tools such as Claude, Cursor, Codex or similar tools, and the judgement to use them effectively while maintaining high engineering standards. \n * Engineering practices: Strong habits around Git, testing, code reviews, CI/CD, documentation, monitoring and operational ownership. Experience with tools such as Sentry or Grafana is a plus. \n * Product and delivery judgement: The technical skills to build across the full stack, combined with the judgement to know which problems are worth solving, when to prototype, when to harden, and when to stop. \n * Pragmatic execution: Ability to take ambiguity, shape it into a concrete technical plan, build quickly, learn from users and make pragmatic trade-offs. \n * Communication and stakeholder management: Strong communication, stakeholder management and business interaction skills, with the ability to work effectively with business users, product managers and technical colleagues. \n, More senior candidates may bring a combination of the above skills together with experience designing AI systems or leading small AI-native engineering efforts. Additional strengths may include ## Description As a software engineer on the AI team at Cerberus, you'll build internal applications that help our investment teams and portfolio companies use AI, data and automation in real workflows. This role is about taking high-value business problems from rough idea to working product, including full-stack apps, workflow automations, and AI-enabled tools., You'll design, implement and operate production-grade applications across the stack: Python services, APIs, React and TypeScript frontends, relational databases, SQL, orchestration layers, integrations with enterprise data sources, and LLM-powered agentic workflows., We're looking for engineers who care about impact: people who can prototype quickly, make pragmatic technical trade-offs, work closely with business and product stakeholders, and turn emerging AI capabilities into reliable products that users actually adopt.