Senior Full Stack Developer
Listed on 2026-07-19
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Software Development
AI Engineer (Applied/Software), Software Architect, Backend Developer
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. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on Linked In.
Responsibilities- Technical Leadership:
Lead development on client projects, setting technical direction, making architectural and system design decisions, and ensuring delivery quality across the team - Full Stack Development:
Design, implement, and maintain scalable backend microservices (Python) and intuitive frontend interfaces (React/Vue) for AI‑driven applications - System Design:
Own the design of complex system components end‑to‑end and communicate that design clearly to both technical and non‑technical clients - Mentorship:
Mentor and coach junior and mid‑level developers, conducting code reviews, providing technical guidance, and helping grow team capabilities - Production Readiness:
Design, maintain, and implement solutions that adhere to security, access controls, scalability, and other constraints informed by client requirements - AI Orchestration:
Lead design and implementation of agentic AI solutions, including orchestration patterns, tool use, and memory/retrieval integration - RAG & NLP:
Architect end‑to‑end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation - Data Integration:
Lead development of and optimize data pipelines for ingesting and enriching structured and unstructured content using SQL, Python, and other scripting or querying strategies - Dev Sec Ops (CI/CD):
Lead development and configuration of CI/CD and various other Dev Ops processes that support scalable, continuously available, and maintainable system‑centric deployment processes - Semantic Integration:
Partner with internal teams to integrate AI components with semantic layers and knowledge graph implementations - Security and Access Control:
Design, configure, and advise clientele on production‑grade system security, access control (RBAC/ABAC), and network architecture (ingress/egress) - API & Middleware:
Lead design and development of middleware integration layers for decoupled systems, including content auto‑tagging, semantic data contracts, and seamless search experiences - Client
Collaboration:
Serve as a trusted technical advisor to data subject matter experts and business users, translating complex technical concepts for non‑technical stakeholders
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…
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