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 EK team member, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Responsibilities:-
Full Stack Development: Design, implement, and maintain scalable backend microservices (Python) and intuitive frontend interfaces (React/Vue) for AI-driven applications
-
AI Orchestration: Contribute to the design and implementation of agentic AI solutions, including orchestration patterns, tool use, and memory/retrieval integration
-
RAG & NLP: Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation
-
Data Integration: Build and optimize data pipelines for ingesting and enriching structured and unstructured content using SQL and Python
-
Semantic Integration: Work with internal teams to integrate AI components with semantic layers and knowledge graph implementations
-
API & Middleware: Develop middleware integration layers for decoupled systems, including content auto-tagging and seamless search experiences
-
Client Collaboration: Work with data subject matter experts and business users to understand their domain and communicate technical insights to non-technical stakeholders
Requirements
As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.
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.
Required Skills and Qualifications:-
Education: Bachelor’s degree in Computer Science, Data Science, Math, or a related technical field
-
Experience: 1–3 years of professional software development experience, with a focus on both backend and frontend technologies
-
AI: Proven experience building and optimizing RAG pipelines (embeddings, reranking, and evaluation) and applying Natural Language Processing (NLP) techniques to unstructured data
-
Programming: Proficiency in Python (preferred) or Java for backend development, and experience with modern JavaScript frameworks (e.g., React, TypeScript)
-
Data & Databases: Familiarity with data modeling, database architecture, and SQL
-
Tooling: Experience with code versioning tools (Git) and delivering solutions using Agile delivery practices
-
AI-Augmented Development: Proficiency in using Generative AI tools to accelerate the full Software Development Life Cycle (SDLC). This includes leveraging AI for generating Architecture Decision Records (ADRs), drafting code, creating comprehensive test cases, and producing product documentation
-
Communication: Strong ability to facilitate meetings, provide briefings, and present work products directly to clients
Preferred Skills and Qualifications:-
Agentic Frameworks: Hands-on experience implementing agentic AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or BAML
-
Graph Technologies: Experience with RDF graph databases, SPARQL, or Linked Data technologies
-
DevOps & Cloud: Comfort working with containerized environments (Docker) and cloud platforms (AWS, Azure, or GCP) for deploying AI solutions
-
AI Observability: Experience implementing monitoring for AI components, including latency, success rate, and retrieval quality
-
Semantic Web: Exposure to ontology/taxonomy design or management tools (e.g., Progress Semaphore, PoolParty)
Salary Information:
EK considers a broad range of factors in considering 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.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at [email protected]
