Artificial Intelligence Engineer

Strider; Colombia; Presencial; MXN 1.539.000 - 2.223.000; Jornada completa

Descripción de la vacante

Strider seeks an experienced AI-focused software/data engineer to build AI features inside existing products, enabling automated QA/QC and data processing workflows. You will integrate LLMs and AI agents, collaborate with Data and Research teams, and bridge civil/transportation domain knowledge with AI capabilities.

Strong English communication required. You will evaluate datasets, prototypes, and third‑party tools, balancing build vs.

Formación

• 3+ years of software or data engineering experience.
• Experience building AI features in production software: LLM integrations, AI agents, RAG, agentic workflows.
• Experience with Python.
• Experience with SnowflakeExperience with SQL, PostgreSQL.
• Experience building data pipelines and ETL processes.
• Experience working with datasets and data processing.
• Experience shipping AI features into existing products, not only greenfield projects.
• Experience with RESTful APIs and back-end concepts sufficient to prototype, test, and evaluate integrations.
• Ability to retrieve and store data safely through a back-end.
• Deep knowledge of core computer science topics (e.g., optimization, algorithms, etc.).
• Strong communication skills in both spoken and written English.

Responsabilidades

• Build AI features into our existing products, creating AI workflows that improve automation across data extraction and processing.
• Own the application of AI to QA/QC processes, setting strategy and iterating with the Data team to strengthen data quality and integrity.
• Integrate LLMs and AI agents into production software, applying tool use and other techniques to get the most out of the models.
• Work with the Data team on datasets for evaluation, in-context learning (ICL), and related applications.
• Act as the domain bridge between civil/transportation engineering knowledge and AI capabilities, judging whether model outputs meet real-world infrastructure standards.
• Direct AI image recognition and computer vision approaches for infrastructure asset data extraction, validating outputs against domain benchmarks.
• Assess third-party AI tools, APIs, and foundation models against our use cases, weighing build vs. buy tradeoffs with Engineering.
• Partner with the Research team on prompting techniques, model capabilities, and domain adaptation.
• Prototype concepts and turn technical findings into actionable product decisions.
• Collaborate with the Engineering, Data, and Research teams to build repeatable processes.

Conocimientos

3+ years software/data engineering

AI features in prod software

Python

SQL

PostgreSQL

data pipelines/ETL

data processing

shipping AI features

RESTful APIs

backend concepts

data retrieval/storage

CS fundamentals

English communication

Educación

Bachelor's Degree in Computer Engineering/Computer Science

Herramientas

Snowflake

SQL

Databricks

LangChain

LLM APIs

OpenAI

Claude

Pinecone

Weaviate

AWS S3

AWS Lambda

REST APIs tooling

Descripción del empleo

Exclusive to candidates based in Colombia and Mexico

Requirements

Must-haves

• 3+ years of software or data engineering experience
• Experience building AI features in production software: LLM integrations, AI agents, RAG, agentic workflows
• Experience with Python
• Experience with SnowflakeExperience with SQL, PostgreSQL
• Experience building data pipelines and ETL processes
• Experience working with datasets and data processing
• Experience shipping AI features into existing products, not only greenfield projects
• Experience with RESTful APIs and back-end concepts sufficient to prototype, test, and evaluate integrations
• Ability to retrieve and store data safely through a back-end
• Deep knowledge of core computer science topics (e.g., optimization, algorithms, etc.)
• Strong communication skills in both spoken and written English

Nice-to-haves

• Startup experience
• Experience with LLM APIs and foundation model providers (e.g., OpenAI, Claude, etc.)
• Experience with agentic workflows and AI agent frameworks (e.g., LangChain, etc.)
• Experience with Databricks
• Experience with RAG and vector databases (e.g., Pinecone, Weaviate, etc.)
• Experience with computer vision or AI image recognition, including at a prototyping level
• Experience with cloud services, particularly AWS (e.g., S3, Lambda, etc.)
• Proficiency with prompt engineering
• Exposure to civil engineering, transportation infrastructure, or geospatial data to critically evaluate AI outputs in these domains and communicate credibly with domain experts
• Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

• Build AI features into our existing products, creating AI workflows that improve automation across data extraction and processing
• Own the application of AI to QA/QC processes, setting strategy and iterating with the Data team to strengthen data quality and integrity
• Integrate LLMs and AI agents into production software, applying tool use and other techniques to get the most out of the models
• Work with the Data team on datasets for evaluation, in-context learning (ICL), and related applications
• Act as the domain bridge between civil/transportation engineering knowledge and AI capabilities, judging whether model outputs meet real-world infrastructure standards
• Direct AI image recognition and computer vision approaches for infrastructure asset data extraction, validating outputs against domain benchmarks
• Assess third-party AI tools, APIs, and foundation models against our use cases, weighing build vs. buy tradeoffs with Engineering
• Partner with the Research team on prompting techniques, model capabilities, and domain adaptation
• Prototype concepts and turn technical findings into actionable product decisions
• Collaborate with the Engineering, Data, and Research teams to build repeatable processes