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AI Engineer

Ncontracts

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AI-powered cloud-based risk and lending compliance software for financial institutions.

$1.075M total raised; later private equity backing raised· Backed by XMi High Growth Development Fund, Council & Enhanced Tennessee Fund, Mainsail Partners, Gryphon Investors
$155k - $175kFULL TIMERemote · US474 employeesPosted Aug 25
artificial intelligencelarge language modelsprompt engineeringc#.netpythonreactlangfuseazureawsmicroservicesapi designretrieval-augmented generationsoftware developmentcode reviewsystem architecture

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WHO WE ARE

Headquartered in Nashville, Tennessee, Ncontracts leads the industry in integrated risk management and compliance solutions, serving over 5,000 financial institutions nationwide. As an eight-time Inc. 5000 Fastest Growing Companies honoree and consistent year-over-year recipient of "Best Places to Work" awards, we offer a thriving, work environment where career growth and life-work balance go hand in hand.

At Ncontracts, you'll join a team of industry experts dedicated to strengthening the financial services sector through innovation and thought leadership. We're seeking creative, collaborative, and self-driven professionals across all areas of our business - from developing cutting-edge solutions to sales, marketing, customer support, and beyond. Join us in our mission to make the financial industry stronger and more resilient, while advancing your career in a supportive, dynamic environment that values your unique skills and perspectives.

OUR AI VISION

To become the financial industry's most intelligent GRC platform, where AI seamlessly augments human expertise to predict risks, automate compliance, mitigate third party risk, and enable proactive decision-making for financial institutions, mortgage companies, and registered investment advisors.

THE ROLE

As an AI Engineer, you’ll be responsible for driving the development of AI projects to deliver exceptional solutions for Ncontracts customers. You’ll work closely with the Enterprise Architect to build various AI projects across multiple teams to help shape and deliver an ambitious AI roadmap. Your mission will be to accelerate the development velocity of our products, continuously innovate at the boundaries of enterprise AI, and ship agentic AI solutions that deliver extraordinary outcomes for our customers.

Key Responsibilities

Engineering Implementation

  • Build features and components following established architectural patterns and coding standards, including patterns for integrating LLMs and other AI components

  • Work within an engineering team to deliver AI-powered features that align with existing architecture and design decisions

  • Turn technical specs and designs into working, tested code

  • Flag implementation blockers or design gaps to your tech lead or architect when they come up

  • Review your own work against acceptance criteria and existing patterns before handoff

AI & LLM Implementation

  • Implement patterns for integrating LLMs into product features, including prompt structure, context management, and retrieval-augmented approaches

  • Develop and maintain prompt engineering guidance and tooling that SMEs use to write and refine prompt content; support SMEs in applying these techniques for reliability and consistency

  • Use LLM observability tooling such as Langfuse to trace, evaluate, and debug AI workflows in development and production

  • Help define evaluation approaches for AI features, covering accuracy, latency, cost, and safety considerations, and build the infrastructure to run them

  • Partner with the Architecture team on standards for responsible and secure use of AI across the platform

Hands-On Technical Work

  • Write code regularly — this role requires significant time in the codebase implementing features and working alongside other developers

  • Participate in peer code reviews, both giving and receiving feedback, with a focus on code quality, maintainability, and alignment with established patterns

  • Pair with developers to work through complex implementation challenges, including those involving LLM integrations

  • Build and maintain reference implementations, including AI feature reference implementations, that teams can use as starting points

  • Prototype approaches to validate technical decisions before broader rollout

Team Collaboration

  • Embed with engineering teams on focused assignments based on team and project priorities

  • Build strong working relationships with developers and engineering leads

  • Participate in technical discussions, contributing implementation-level perspective to decisions

  • Develop understanding of the "why" behind architectural standards, not just the "what"

Learning & Development

  • Work closely with Architecture and Platform teams to understand how strategic architectural decisions are made

  • Seek feedback on implementation approaches and technical thinking

  • Study our existing architecture, understanding the rationale behind current patterns and the history of key decisions

  • Develop broader perspective across AI projects by working with multiple teams over time

  • Grow technical breadth across domains, including integration, data, cloud infrastructure, and applied AI, through hands-on experience

Documentation & Communication

  • Communicate clearly with developers about implementation approaches and technical decisions

  • Raise questions and surface ambiguities in architectural guidance to improve clarity for all teams

Required Qualifications

  • 5+ years of professional software development experience

  • 18+ months of hands-on experience building with large language models (LLMs) in production or near-production settings

  • Strong hands-on coding skills, you're an experienced developer who writes production code regularly

  • Solid experience with at least one of our core languages/frameworks: .NET/C#, React, or Python

  • Practical experience with prompt engineering, including designing, testing, and iterating on prompts for reliability and consistency

  • Experience with LLM observability or evaluation tooling such as Langfuse (or comparable platforms)

  • Familiarity with cloud platforms, particularly Azure or AWS

  • Understanding of modern application architectures: microservices, API design, event-driven patterns

  • Experience with code review practices and ability to provide constructive, actionable feedback

  • Ability to work across different teams and adapt to varying codebases and contexts

  • Strong communication skills, you can explain technical concepts clearly to other developers

  • Curiosity about the "big picture," you want to understand how systems fit together, not just your piece

  • Eagerness to learn and grow into broader architectural responsibilities

  • Bachelor's degree in Computer Science, Information Systems, or related field

Preferred Qualifications

  • Experience with our tech stack: .NET/C#, React, Python, Snowflake, dbt

  • Experience integrating LLM APIs (OpenAI, Anthropic, or similar) into application code

  • Familiarity with retrieval-augmented generation (RAG), vector databases, or agentic workflow patterns

  • Familiarity with our toolchain: TeamCity, Octopus Deploy, Azure DevOps, GitHub Actions

  • Exposure to integration patterns: REST APIs, message queues, CDC

  • Experience with database design and data modeling concepts

  • Background in DevOps practices and CI/CD pipelines

  • Experience working in multi-tenant SaaS environments

  • Prior experience in B2B SaaS or enterprise software development

WE OFFER ALL REGULAR FULL-TIME TEAM MEMBERS:

  • A fun, fast-paced work environment

  • Responsible PTO Plan that meets or exceeds state and local medical and family leave laws

  • 11 paid holidays

  • Community and social events to keep you connected and engaged

  • Mental Health Benefits

  • Medical, Dental and Vision insurance

  • Company-paid Group Life Insurance, Short- and Long-Term Disability

  • Flexible Spending Account & Health Savings Account

  • Aflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice

  • Pet Insurance

  • 401 (k) with company match with eligibility on Day 1 of employment

  • 2 Paid Volunteer Time Off Days

  • And much more!

*Part-Time and Contractor positions are not eligible for company benefits, including paid time off, health insurance, and other employee benefit programs. Full-time temporary employees are eligible for certain group benefits after a waiting period; specific eligibility timing will be provided at the time of offer.

AAP/EEO Statement

Ncontracts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.