greymatter innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
we are looking for:
full-stack developer – ai-enabled applications | 3–5 years
location: mexico/ latam - remote
duration: long term
role summary
the full-stack developer will work within product engineering teams to develop and enhance web-based applications and integrate ai-enabled capabilities into existing products and services. The role requires solid full-stack engineering skills with practical exposure to llm-based services, data-intensive applications, and geospatial technologies.
key responsibilities
- develop and maintain full-stack applications using java/spring boot and react or angular.
- design and integrate rest apis and microservices.
- develop python components/scripts for ai, data and service integrations.
- integrate llm/ai services into application workflows, including structured responses, rag and tool/function calling.
- support integration with agent-based services and mcp-based interfaces where applicable.
- work with relational, vector and graph-oriented data sources.
- develop application features involving geospatial data, maps, location data and spatial queries.
- build and deploy services on aws using containerized/cloud-native environments.
- develop unit, api and integration tests and support ci/cd pipelines.
- troubleshoot application, integration and production issues.
required skills
- 3–5 years of full-stack software development experience.
- java, spring boot, rest apis and microservices.
- react or angular with javascript/typescript.
- python working knowledge.
- sql/postgresql and data modelling fundamentals.
- aws, docker, kubernetes and git/ci-cd.
- practical exposure to llm apis and ai-enabled application development.
- understanding of rag, embeddings/vector search and agent/tool integration.
- familiarity with geospatial data/apis, geojson and spatial queries.
desirable
- postgis or similar spatial database.
- neo4j, amazon neptune or other graph databases.
- mcp and agent integration experience.
- aviation, transportation, logistics or other location/data-intensive product experience.