Ai developer

Descripción del cargo

AI Developer

YOUR IMPACT

· Design, build, and maintain scalable full-stack applications that integrate advanced AI and data capabilities.

· Develop backend APIs and cloud-native components that support scalable data and analytics workflows.

· Integrate LLMs, agentic workflows, and NLP techniques (e.g., entity recognition and entity resolution) into production-ready systems.

· Contribute to the design and evolution of knowledge-based and data-driven platforms.

· Develop and integrate data pipelines and knowledge-driven components (e.g., structured data, semantic layers, or knowledge graphs) into applications.

· Collaborate closely with analytics, data science, knowledge engineering, and digital product teams.

· Work directly with internal teams and clients to translate requirements into scalable, production-ready solutions.

· Implement secure, maintainable, and testable code aligned with industry best practices.

· Support CI/CD, Git workflows, and DevOps automation.


THE SKILLS THAT SET YOU APART

· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.

· 5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments.

· Demonstrated experience designing end-to-end AI architectures, including data ingestion, retrieval, reasoning layers, and user-facing applications.

· Strong experience with LLM workflows, including prompt engineering, evaluation strategies, agent orchestration, and tool integration.

· Hands-on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.

· Proven ability to design and build scalable backend systems and APIs (Python – FastAPI preferred, or Node.js), including microservices architectures.

· Experience integrating structured and unstructured data into scalable AI applications.

· Experience applying NLP techniques (e.g., entity extraction, entity resolution) in real-world applications.

· Strong experience with cloud-native development (Azure preferred), including deployment, monitoring, and cost/performance optimization.

· Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments (dev, UAT, production).


NICE TO HAVE

Experience with knowledge graphs and graph query languages (e.g., SPARQL, Cypher), microservices, Docker/Kubernetes, ETL pipelines, or engineering-heavy data environments.