Production AI Engineer: LLMs, Data Pipelines, Vision

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

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.