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.
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
Skills
- 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
- 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)
Benefits
- Opportunity to work in a collaborative workplace
- Take advantage of our unique benefits
Company Overview