AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, document, and maintain applications and services powered by AI.

• Implement workflows for AI and agents utilizing LangChain, Microsoft Agent Framework, or other appropriate frameworks and services.

• Establish RAG capabilities, which include data ingestion, retrieval, grounding, and integration with sanctioned enterprise information sources.

• Integrate AI models with APIs, enterprise applications, and business workflows, ensuring appropriate tool usage and human oversight.

• Collaborate with product owners, users, and functional specialists to convert requirements into technical designs, user stories, and acceptance criteria.

• Create and sustain application components, APIs, and services using Python along with established software engineering methodologies.

• Design and implement automated tests and evaluations to assess accuracy, relevance, grounding, safety, and performance.

• Diagnose application and model behaviors using test results, telemetry, and user feedback.

• Assist in deployment and operations, including CI/CD, monitoring, documentation, incident resolution, and ongoing maintenance.

• Enforce security and privacy standards, including identity and access controls, authorization-aware retrieval, and safeguarding sensitive data.

• Work alongside data, cloud, cybersecurity, DevSecOps, and software engineering teams.

• Contribute reusable components, technical documentation, and engineering best practices.

• Aid in the implementation of alignment controls in AI LLMs and agents.

• Participate in the development of AI safety/alignment policies and procedures to ensure ethical, controllable, and aligned AI systems and agents.

⛳️ Requirements

• Bachelor's degree and 10 years of experience in artificial intelligence, machine learning, software engineering, or a related field; equivalencies considered (Master's + 7 years; 16 years without a degree; AA + 12 years).

• A minimum of five years of experience in software engineering, application development, AI/ML engineering, or a related technical discipline.

• Proven experience in developing software applications or services using Python and APIs.

• Practical experience in constructing generative AI or machine learning applications that connect models with data, applications, or workflows.

• Familiarity with LangChain, Microsoft Agent Framework, or a similar framework to create AI or agent-based features.

• Knowledge of RAG, prompt and context design, model or application evaluation, and integration with enterprise data.

• Experience with automated testing, version control, and CI/CD methodologies.

• Acquaintance with cloud-based application development and deployment; experience with Microsoft Azure is preferred.

• Understanding of secure software development practices and the necessity to protect sensitive information and limit access to enterprise data.

• Capability to work collaboratively with technical teams, product personnel, and functional stakeholders, and to convey technical work effectively.

• Desired: Experience in developing production applications using both LangChain and Microsoft Agent Framework.

• Desired: Experience with LangGraph or other methods for constructing stateful, multi-step agent workflows.

• Desired: Experience with Azure OpenAI, Azure AI services, or Azure AI Foundry.

• Desired: Experience in implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool usage.

• Desired: Experience with AI evaluation techniques, test sets, tracing, observability, and monitoring for quality, latency, and cost.

• Desired: Experience in integrating AI applications with enterprise systems, microservices, and web interfaces.

• Desired: Familiarity with responsible AI practices, including human review, explainability, and safe management of uncertain or unsupported outputs.

• Relevant cloud, AI, or software engineering certifications are preferred.

• Familiarity with AI safety frameworks such as the NIST AI Safety Framework.

• Ability to contribute to AI safety/alignment policies and procedures.

🏝️ Benefits

• Flexible time off benefit.

• Robust learning resources.

• Healthcare benefits.

• Wellness benefits.

• Financial benefits.

• Retirement benefits.

• Family support benefits.

• Continuing education benefits.

• Time off benefits.

• Competitive compensation.

• Learning and development opportunities.