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Ncontracts

AI Engineer

Ncontracts

AI Engineer building agentic AI and LLM-powered features for Ncontracts’ financial risk and compliance platform. Implementing prompts, observability, evaluations, and production software across engineering teams.

Posted 8/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $155,000 - $175,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI project development, particularly with large language models (LLMs), and possesses strong coding skills in .NET/C#, React, or Python. Capable of integrating AI components, implementing prompt engineering, and collaborating across teams to enhance product development.

Highest-signal resume keywords
Large Language Model (LLM) DevelopmentPrompt EngineeringObservability Tooling (Langfuse)Cloud Platforms (Azure, AWS)Microservices and API Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentCoding SkillsPrompt EngineeringLLM IntegrationMicroservicesAPI DesignDatabase DesignData ModelingDevOpsCI/CD
Soft Skills
CollaborationAdaptabilityCommunication
Tools & Technologies
Langfuse.NET/C#ReactPythonTeamCityOctopus DeployAzure DevOpsGitHub Actions
Certifications & Qualifications
Bachelor's Degree in Computer ScienceInformation Systems
Industry Keywords
B2B SaaSEnterprise Software DevelopmentAgentic Workflow PatternsREST APIsMessage Queues

Tech Stack

Tools & technologies
AWSAzureCloudMicroservices.NETPythonReact

About the role

Key responsibilities & impact
  • Drive development of AI projects delivering solutions for Ncontracts customers
  • Work closely with the Enterprise Architect to build AI projects across multiple teams
  • Accelerate product development velocity and ship agentic AI solutions
  • Build features and components using established architectural patterns and coding standards
  • Integrate LLMs and other AI components into product features
  • Turn technical specifications and designs into working, tested code
  • Identify implementation blockers and design gaps for technical leads or architects
  • Implement prompt structure, context management, and retrieval-augmented approaches
  • Develop prompt engineering guidance and tooling for subject-matter experts
  • Use Langfuse or similar observability tooling to trace, evaluate, and debug AI workflows
  • Define evaluation approaches for accuracy, latency, cost, and safety and build supporting infrastructure
  • Partner with Architecture on responsible and secure AI standards
  • Participate in code reviews and pair with developers on complex implementation challenges
  • Build reference implementations and prototype approaches to validate technical decisions
  • Embed with engineering teams on focused assignments and contribute to technical discussions
  • Study architecture and communicate implementation approaches and technical decisions clearly
  • Raise ambiguities in architectural guidance and develop broader expertise across AI, integration, data, and cloud infrastructure

Requirements

What you’ll need
  • 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 and regular production coding experience
  • Experience with at least one core language/framework: .NET/C#, React, or Python
  • Practical experience with prompt engineering, including designing, testing, and iterating on prompts
  • Experience with LLM observability or evaluation tooling such as Langfuse or comparable platforms
  • Familiarity with cloud platforms, particularly Azure or AWS
  • Understanding of microservices, API design, and event-driven patterns
  • Experience with code review practices
  • Ability to work across different teams and adapt to varying codebases and contexts
  • Bachelor's degree in Computer Science, Information Systems, or related field
  • Preferred: experience with .NET/C#, React, Python, Snowflake, dbt
  • Preferred: experience integrating LLM APIs such as OpenAI or Anthropic
  • Preferred: familiarity with RAG, vector databases, or agentic workflow patterns
  • Preferred: familiarity with TeamCity, Octopus Deploy, Azure DevOps, or GitHub Actions
  • Preferred: exposure to REST APIs, message queues, or CDC
  • Preferred: database design and data modeling experience
  • Preferred: DevOps and CI/CD experience
  • Preferred: multi-tenant SaaS experience
  • Preferred: B2B SaaS or enterprise software development experience

Benefits

Comp & perks
  • Responsible PTO Plan that meets or exceeds state and local medical and family leave laws
  • 11 paid holidays
  • Community and social events
  • Mental Health Benefits
  • Medical, Dental and Vision insurance
  • Company-paid Group Life Insurance
  • Company-paid 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
  • Fun, fast-paced work environment