Datavid
Website:
datavid.com
Job details:
Company Description
Datavid specializes in enterprise-ready software designed to help organizations extract, enrich, and uncover valuable insights from data. Our solutions serve global enterprises at the forefront of research and development, customer experience, and innovation. Backed by a team of over 80 skilled software developers, data engineers, machine learning experts, and project managers, we deliver transformative data engineering services. At Datavid, we are committed to driving meaningful change by unlocking the true potential of data.
Role Description
We are looking for a skilled Full Stack Developer with strong expertise in Python (backend) and Angular (frontend) to build scalable, high-performance applications. The ideal candidate will also have exposure to graph databases, knowledge graphs, semantic technologies, and emerging LLM/AI agent-based systems, enabling intelligent and data-driven solutions.
Key Responsibilities
- Design, develop, and maintain full-stack applications using Python and Angular
- Build scalable RESTful APIs and backend services
- Develop responsive, high-quality user interfaces using Angular
- Work with SQL and NoSQL databases for efficient data storage and retrieval
- Design and query graph databases to model complex relationships
- Contribute to building and maintaining knowledge graphs
- Integrate and work with LLMs (Large Language Models) and AI-powered features
- Develop or integrate AI agents/workflows for automation and intelligent interactions
- Apply semantic technologies for data interoperability
- Collaborate with cross-functional teams (product, data, AI, DevOps)
- Ensure performance, scalability, and security best practices
Required Skills & Qualifications
- Strong experience in Python frameworks (Django, FastAPI, Flask)
- Proficiency in Angular (v8+), TypeScript, HTML, CSS
- Solid understanding of REST APIs, microservices architecture
- Hands-on experience with SQL databases (PostgreSQL, MySQL)
- Experience with NoSQL databases (MongoDB, DynamoDB, Cassandra, etc.)
- Familiarity with Git and modern development workflows
- Strong understanding of data structures and backend design principles
Preferred / Good-to-Have Skills
- Experience with graph databases (Neo4j, Amazon Neptune)
- Knowledge of knowledge graphs, ontologies, and semantic modeling
- Familiarity with semantic web technologies (RDF, OWL, SPARQL)
- Experience working with LLMs (e.g., OpenAI, open-source models)
- Understanding of AI agents, orchestration frameworks, or agentic workflows
- Exposure to vector databases and embeddings
- Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
- Knowledge of CI/CD pipelines and DevOps practices
Soft Skills
- Strong analytical and problem-solving abilities
- Effective communication and teamwork
- Ability to thrive in a fast-paced, agile environment
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