AI Engineer

This is a fully remote position, open to applicants in Alaska, +13 more states.

📋 Description

• Design and develop agentic AI applications that perform multi-step tasks with clear tool boundaries, permissions, and safety controls.

• Create and sustain RAG solutions from start to finish, encompassing ingestion, embeddings, retrieval, and generation.

• Establish quality metrics for agents and retrieval processes, and refine results based on findings.

• Integrate tools and data sources through MCP or comparable standard interfaces.

• Provide Angular/Node interfaces and APIs for business teams.

• Deploy and manage AI services on AWS, including Lambda and ECS/EKS, ensuring logging, monitoring, error handling, retries, fallbacks, and guardrails are in place.

• Identify repetitive tasks and implement AI-driven workflow automation within enterprise systems and platforms.

• Develop and maintain technical documentation for architectures, interfaces, evaluation methods, and operational runbooks.

• Work collaboratively with product and business stakeholders to convert workflows into tangible deliverables and validate measurable outcomes.

• Offer advisory support to enhance operational efficiency through agentic workflows and RAG-enabled automation.

• Investigate and recommend new AI tools, evaluation methodologies, and responsible AI practices.

• Carry out additional duties as assigned.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related area; equivalent practical experience is acceptable.

• 5–10 years of experience in software engineering.

• 1 to 2 years of experience in developing production-grade Generative AI solutions (agentic applications and/or RAG).

• Practical experience in deploying agentic applications and RAG systems to production, with in-depth knowledge of at least one and a solid understanding of the other.

• Proven experience in building and delivering production services and APIs on AWS.

• Full-stack development experience using Angular and Node/TypeScript.

• Knowledge of CI/CD processes and standard operational practices.

• Advanced proficiency in Python for backend/AI service development.

• Hands-on experience with at least one agent framework, such as LangChain, LangGraph, or CrewAI.

• Design of safe tool calling, including tool boundaries, permissions, and validation measures.

• Understanding of RAG concepts, including chunking, embeddings, retrieval, and basic reranking.

• Experience with at least one vector store, such as OpenSearch, Pinecone, or pgvector.

• Capability to assess and enhance AI systems using practical quality signals and measures of agent task success.

• Familiarity with AWS deployment utilizing serverless and/or container technologies, including logging, monitoring, and alerting.

• Understanding of responsible/secure AI fundamentals, including least privilege, data access controls, and guardrails.

• Proficient in Git-based source control and CI/CD, with reliable release and rollback procedures.

• Strong communication skills and a collaborative, delivery-focused mindset.

• Qualified applicants must submit a resume and cover letter detailing salary expectations.

• Final candidates must successfully pass a background check.

🏝️ Benefits

• Remote work and flexible scheduling options.

• 401(k) plan with employer matching up to 4%.

• Options for medical, dental, and vision insurance.

• Outpatient mental health benefits.

• Paid personal and vacation time.

• 12 paid holidays per year.

• Family and medical leave.

• Tuition assistance programs.

• Employee Assistance Program (EAP).

• Short- and long-term disability insurance.