AI Developer

Golder Associates Ltd.; Colombia; On-site; COP 120,000,000 - 180,000,000; Full time

Job summary

Golder Associates Ltd. is seeking an experienced AI Developer to design and deliver scalable AI‑driven data platforms.

You will integrate LLMs, NLP, and knowledge components, build backend APIs, and collaborate with analytics, data science, and digital product teams to deploy production‑ready solutions. Ideal candidates have 5+ years in software development, strong Python (FastAPI) or Node.js, cloud‑native skills (Azure), and hands‑on experience with embeddings, vector search, and RAG pipelines,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline.
• 5+ years of professional software development experience, including 2+ years leading design, deployment, and scaling of AI systems in production.
• Hands-on experience with embeddings, vector search, and Retrieval-Augmented Generation (RAG) pipelines.
• Strong experience designing end-to-end AI architectures (data ingestion, retrieval, reasoning, user-facing apps).
• Experience with LLM workflows, prompt engineering, evaluation, agent orchestration, and tool integration.
• Cloud-native development experience (Azure preferred), with deployment, monitoring, and cost/performance optimization.
• Experience with DevOps practices, CI/CD pipelines, Git workflows, multi-environment deployments.

Responsibilities

• 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 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 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.

Skills

LLM workflows

Python

Node.js

Cloud-native development

APIs

CI/CD

Git

NLP

Knowledge graphs

Education

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

Tools

FastAPI

Node.js

Azure

Docker/Kubernetes

Git

CI/CD pipelines

Job description

Job Description - AI Developer (26001363)

AI Developer - ( 26001363 )

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.
• 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).
• Advanced English proficiency, both written and spoken.

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.