Senior Full Stack Developer

Enterprise Knowledge, LLC; Arlington (VA); Hybrid; USD 140,000 - 155,000; Full time

Job summary

Enterprise Knowledge (EK) is hiring a full-time Senior Full Stack Developer to join our Enterprise Delivery team. You will bridge software engineering with Generative AI, leading end-to-end design, implementation, and deployment for AI-driven solutions.

You will lead projects, mentor engineers, and collaborate with stakeholders to deliver scalable, secure systems. Hybrid work near Arlington, VA, with on-site 2 days a week.

Qualifications

• Bachelor's degree in CS, data science, math, or related field.
• 8+ years of professional software development experience.
• Experience leading projects or workstreams and mentoring engineers.

Responsibilities

• Lead development on client projects, setting technical direction and architecture.
• Design, implement, and maintain backend microservices (Python) and frontend interfaces (React/Vue).
• Own design of complex components end-to-end and communicate with tech and non-technical clients.
• Mentor junior/mid developers, conduct code reviews, and grow team capabilities.
• Design and implement secure, scalable solutions per client requirements.
• Lead agentic AI solutions, including RAG workflows and memory/retrieval integration.
• Develop and optimize data pipelines using SQL, Python, and scripting/queries.
• Lead CI/CD and DevOps processes for scalable deployment.
• Integrate AI components with semantic layers and knowledge graphs.

Skills

Python (backend)

Golang

Java

React

TypeScript

Data modeling

SQL

Git

GitHub Actions

CI/CD

Agile

Generative AI tools

ADR drafting

Mentoring engineers

LangChain

LangGraph

LlamaIndex

BAML

Education

Bachelor's degree in Computer Science, Data Science, Math, or related field

Tools

Docker

RDF/Graph databases

SPARQL

LlamaIndex

Knowledge graph tooling

Job description

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

As a Senior Full Stack Developer, you will take a leading role on project teams, 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 who can own system design end‑to‑end and mentor junior engineers. Our forward‑deployed developers work alongside business stakeholders and customer‑development teams to design, build, and implement solutions that meet critical business needs.

As an EKer, 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.

Responsibilities

• Lead development on client projects, setting technical direction, making architectural and system design decisions, and ensuring delivery quality across the team.
• Design, implement, and maintain scalable backend microservices (Python) and intuitive frontend interfaces (React/Vue) for AI‑driven applications.
• Own the design of complex system components end‑to‑end and communicate that design clearly to both technical and non‑technical clients.
• Mentor and coach junior and mid‑level developers, conducting code reviews, providing technical guidance, and helping grow team capabilities.
• Design, maintain, and implement solutions that adhere to security, access controls, scalability, and other constraints informed by client requirements.
• Lead design and implementation of agentic AI solutions, including orchestration patterns, tool use, and memory/retrieval integration.
• Architect end‑to‑end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation.
• Lead development of and optimize data pipelines for ingesting and enriching structured and unstructured content using SQL, Python, and other scripting or querying strategies.
• Lead development and configuration of CI/CD and other DevOps processes that support scalable, continuously available, and maintainable system‑centric deployment processes.
• Partner with internal teams to integrate AI components with semantic layers and knowledge graph implementations.
• Design, configure, and advise clientele on production‑grade system security, access control (RBAC/ABAC), and network architecture (ingress/egress).
• Lead design and development of middleware integration layers for decoupled systems, including content auto‑tagging, semantic data contracts, and seamless search experiences.
• Serve as a trusted technical advisor to data subject matter experts and business users, translating complex technical concepts for 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 2 days a week.

Required Skills And Experience

• Bachelor's degree in Computer Science, Data Science, Math, or a related technical field.
• 8+ years of professional software development experience, including demonstrated experience leading projects or workstreams and mentoring other engineers.
• Deep proficiency in Python (preferred), Golang, or Java for backend development, and extensive experience with modern JavaScript frameworks (e.g., React, TypeScript).
• Strong background in data modeling, database architecture, and SQL, with experience making architectural trade‑offs at scale.
• Proven experience with code versioning tools (Git), CI/CD (GitHub Actions), and leading teams through Agile delivery practices.
• Proficiency in using Generative AI tools to accelerate the full Software Development Life Cycle (SDLC), including generating Architecture Decision Records (ADRs), drafting code, creating comprehensive test cases, and producing product documentation.
• Demonstrated ability to lead technical teams, facilitate client meetings, provide briefings, and present work products and solution designs directly to senior client stakeholders.

Preferred Skills And Experience

• Hands‑on experience implementing agentic AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or BAML.
• Experience with RDF graph databases, SPARQL, or Linked Data technologies.
• Deep comfort working with containerized environments (Docker) and cloud platforms (AWS, Azure, or GCP) for deploying AI solutions at scale.
• Experience designing and implementing monitoring for AI components, including latency, success rate, and retrieval quality.
• Exposure to ontology/taxonomy design or management tools (e.g., Progress Semaphore, PoolParty).
• Proven track record designing, building, and optimizing RAG pipelines (embeddings, reranking, and evaluation) and applying Natural Language Processing (NLP) techniques to unstructured data.
• Prior experience in formally mentoring junior developers or leading small technical teams.

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. The salary range for this role is $140,000 to $155,000, 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 [e-mail].