Full Stack AI Developer

Enterprise Knowledge (EK) is hiring a full-time Full Stack AI Developer to join our growing Technology Solutions team. In this role, you will bridge the gap between robust software engineering and cutting-edge Generative AI, designing and deploying end-to-end solutions that transform how global organizations interact with their data.

As a Full Stack AI Developer
, you will be part of a team working on innovative projects, ranging from intelligent search interfaces to complex agentic AI systems that automate intricate business workflows. We are seeking a proactive, independent thinker with a passion for building functional, user-centric AI applications.

As an EKer, you will join a fast‑growing company that is committed to equity and inclusion, has the opportunity to work in a collaborative workplace, take advantage of our unique benefits
, and help build our innovative culture.

Applicants must be currently authorized to work in the United States on a full-time basis. Enterprise Knowledge will not sponsor applicants for work visas.

This hybrid role requires that you live within a comfortable commutable distance of our Arlington, VA office and that you are willing to be on‑site 3 days a week.

• Design, implement, and maintain scalable backend microservices (Python) and intuitive frontend interfaces (React/Vue) for AI‑driven applications.
• Contribute to the design and implementation of agentic AI solutions, including orchestration patterns, tool use, and memory/retrieval integration.
• Design and operate end‑to‑end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation.
• Build and optimize data pipelines for ingesting and enriching structured and unstructured content using SQL and Python.
• Work with internal teams to integrate AI components with semantic layers and knowledge graph implementations.
• Develop middleware integration layers for decoupled systems, including content auto‑tagging and seamless search experiences.
• Collaborate with data subject‑matter experts and business users to understand their domain and communicate technical insights to non‑technical stakeholders.

• Bachelor's degree in Computer Science, Data Science, Math, or a related technical field.
• 1‑3 years of professional software development experience, with a focus on both backend and frontend technologies.
• Proven experience building and optimizing RAG pipelines (embeddings, reranking, and evaluation) and applying Natural Language Processing (NLP) techniques to unstructured data.
• Proficiency in Python (preferred) or Java for backend development, and experience with modern JavaScript frameworks (e.g., React, Type Script).
• Familiarity with data modeling, database architecture, and SQL.
• Experience with code versioning tools (Git) and delivering solutions using Agile delivery practices.
• Proficiency in using Generative AI tools to accelerate the full Software Development Life Cycle (SDLC), including leveraging AI for generating Architecture Decision Records (ADRs), drafting code, creating comprehensive test cases, and producing product documentation.
• Strong ability to facilitate meetings, provide briefings, and present work products directly to clients.

• Hands‑on experience implementing agentic AI workflows using frameworks such as Lang Chain, Lang Graph, Llama Index, or BAML.
• Experience with RDF graph databases, SPARQL, or Linked Data technologies.
• Comfort working with containerized environments (Docker) and cloud platforms (AWS, Azure, or GCP) for deploying AI solutions.
• Experience implementing monitoring for AI components, including latency, success rate, and retrieval quality.
• Exposure to ontology/taxonomy design or management tools (e.g., Progress Semaphore, Pool Party).

EK considers a broad range of factors in determining employee salary, including a candidate's skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $95,000 to $115,000, with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.

We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.