Key Facts

Remote From:

Anywhere

Category: Artificial Intelligence Engineer

Full time

Senior (5-10 years)

English

Hard Skills

Intelligent Agent Python (Programming Language) On Demand Routing Secure Coding Identity And Access Management Fabric Operating System State Machines Code Analysis Data Integration Data Security +14 more

Other Skills

•
Communication
•
Problem Solving

Roles & Responsibilities

Extensive Python development experience delivering secure, scalable enterprise software.
Proven track record refactoring and productionizing SI-developed AI agent codebases with rigorous code reviews and debt reduction.
Hands-on experience with AI agent frameworks (e.g., LangGraph, Semantic Kernel) and implementing robust state management, memory, and reasoning with error handling and dynamic retry logic.
Experience operating in complex enterprise environments, collaborating with cloud and data engineers, and adhering to IAM policies and secure data access (e.g., Microsoft Fabric ecosystem).

Requirements:

Codebase Reception & Refactoring: take ownership of SI-developed agentic codebases, conduct rigorous code reviews, eliminate technical debt, and refactor prompts into production-ready, modular code.
Agent State, Memory, and Reliability: industrialize agent state handling, memory management, and reasoning with robust error handling, dynamic retry logic, and fallback routing; standardize LangGraph state transitions.
Cross-Functional Collaboration & Deployment: work daily with the Senior Data Engineer to ensure high-quality data and pair with the Senior Cloud Engineer to package and deploy agents within secure, private networks.
Evaluation, Security, and Performance: translate value metrics into code, instrument telemetry for reasoning traces, latency, token consumption, and precision/recall; enforce security guardrails to IAM policies and optimize latency with context/window management, embedding retrieval, and chunking strategies.

Signature Analytics

Accounting

About Signature Analytics

When your business needs actionable insights from the story your financial data is telling you, turn to us. Signature Analytics provides outsourced accounting and strategic financial solutions to mid-sized companies who need more clarity from their financial data. We provide accurate, relevant, timely financial reports, prudent, strategic financial advice, and day-to-day accounting processes. We are your professional resource partner with a deep bench of trusted experts to meet your needs today and tomorrow. C-Suite leaders need increased visibility into their financial data to make strategic, intelligent business decisions. With your Signature Analytics team you get service-oriented, proactive experts putting systems in place and thinking about your business success. We are transparent and thoughtful in all of our communications. It’s how we provide impactful insights to help you make better-informed business decisions. Solving business challenges and taking advantage of opportunities is easier when you have the right people and financial insights. Growing your business requires the ability to adapt to changing business trends and market dynamics and not just react to them. Our accounting and finance experts consistently bring ideas to your business that improve your accounting through best practices, incorporating technology, and creating repeatable scalable systems that positively impact your business into the future Your success is our success.

Company type: SME

Industry: Accounting

Founded: 2018

Company size: 51 - 200

Website LinkedIn See all jobs →

Job description

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!

We are seeking a Senior – AI Engineer, Development, to join our Development team within the Information Technology department. The AI Solutions team is the vanguard of our enterprise AI competency, bridging the gap between rapid, external SI-led pilot programs and enterprise operations. They’ll serve as the first line of defense and primary code owner for all inbound agentic AI applications.

In this highly-on role, you’ll be the first internal engineer to receive, review, and evaluate the AI codebase delivered by our System Integrator Partners. You’ll take non-deterministic, proof-of-concept agent workflows (built in frameworks like LangGraph or Semantic Kernel), and rigorously refactor them for a highly regulated enterprise environment. You’ll pair closely with our Senior Cloud and Data Engineers to ensure the agents are seamlessly integrated within our core infrastructure, including but not limited to secure connections to our data resources in the Microsoft Fabric ecosystem. The ideal candidate has likely spent time on both sides of the fence, perhaps building rapid prototypes in a strategic innovation or consulting capacity, and now operating within a complex enterprise, as well as architecting robust Python solutions that scale securely.

Responsibilities are, but not limited to

Codebase Reception & Refactoring: Take ownership of SI-developed agentic codebases. Conduct rigorous code reviews, eliminate any technical debt, and refactor prompt chains, as needed, into resilient, modular code ready for production workloads.
Agentic State & Memory Management: Industrialize how agents handle state, memory, and reasoning. Implement robust error handling, dynamic retry logic, and fallback routing for complex workflows (e.g., standardizing LangGraph state transitions).
Cross-Functional Pairing: Work daily alongside the Senior Data Engineer to ensure the agents are querying high-quality, formatted data, and pair with the Senior Cloud Engineer to package and deploy the agents within secure, private network boundaries.
Evaluation Implementation: Translate the AI Product Manager’s “value metrics” into actual code. Instrument the codebase with telemetry to capture reasoning traces, latency, token consumption, and precision/recall metrics for continuous LLMOps monitoring.
Security & Guardrail Enforcement: Hardcode enterprise security guardrails directly into the agent’s logic. Ensure tools and APIs invoked by the LLM strictly adhere to internal IAM policies and data access boundaries.
Performance Optimization: Optimize the codebase for production latency. Refine context window management, optimize embedding retrieval, and adjust chunking strategies to ensure the agent responds quickly and cost-effectively.