AI Engineer

SOFTGIC S.A.S.; México; Presencial; MXN 457,000 - 732,000; Jornada completa

Descripción de la vacante

A technology firm based in Mexico is looking for a skilled software engineer to design and develop applications using C# and .NET Core. The role also involves building and customizing Salesforce applications, implementing integrations with external systems, and maintaining code quality. Ideal candidates should have hands-on experience in ML/NLP, solid Python programming skills, as well as familiarity with vector databases and GCP technologies. This position emphasizes clean coding and collaboration in an agile environment.

Formación

• Experience in ML / NLP / LLMs with strong Python skills.
• Hands-on experience with vector databases, preferably Qdrant.
• Deep knowledge of LLM families and their APIs.

Responsabilidades

• Design and develop software applications using C# and .NET Core.
• Build Salesforce applications with Apex and Lightning Web Components.
• Implement integrations between Salesforce and other systems.

Conocimientos

C#

Python

FastAPI

ML / NLP / LLMs

Salesforce

DevOps

Herramientas

Salesforce

Qdrant

GCP

Descripción del empleo

Key Responsibilities

• Design, develop, and maintain software applications using C#, .NET Core, and related frameworks.
• Build and customize Salesforce applications using Apex, Lightning Web Components (LWC), and Flows.
• Implement and maintain integrations between Salesforce and external systems (REST APIs, middleware, or custom .NET services).
• Write clean, efficient, and maintainable code aligned with KLAS’s development standards.
• Participate in code reviews, sprint planning, and technical design discussions.
• Collaborate with product owners, QA, and other developers to ensure high-quality, on-time deliverables.
• Troubleshoot and resolve bugs, data issues, and integration challenges.
• Contribute to CI / CD pipelines, Git workflows, and other DevOps processes.
• Stay up to date with evolving tools and frameworks relevant to KLAS’s technology stack.

Requisitos

Requirements

• Experience in ML / NLP / LLMs; strong command of Python (FastAPI, async) and solid software engineering fundamentals.
• Hands‑on experience with vector databases (Qdrant preferred) and embedding pipelines.
• Experience with RAG / agents, prompt engineering, model / tool selection, and evaluation.
• Comfortable working on GCP (Cloud Run, Cloud Storage, BigQuery, Secret Manager).
• Deep knowledge of LLM families and their SDKs / APIs: OpenAI, Anthropic, Gemini, Llama…
• Focus on observability and reliability; testing in the loop, CI / CD, and basic incident management.
• Nice to have: small-model fine‑tuning / LoRA, speech (ASR / TTS), agent frameworks, LangChain.