Generative AI Software Engineer

Concord USA; México; A distancia; MXN 1,846,000 - 2,401,000; Jornada completa

Descripción de la vacante

A dynamic consulting firm seeks a Senior Generative AI Software Engineer to develop innovative AI solutions. This remote position focuses on creating enterprise applications with Python and TypeScript, implementing cutting-edge technologies in an Agile environment. Ideal candidates have extensive experience with AI systems and strong communication skills, allowing collaboration with global teams. Competitive compensation offered.

Formación

• 5+ years experience in full-stack development with strong proficiency in Python.
• 2+ years hands-on experience building production applications with LLMs.
• Experience with AI governance practices, including bias detection.

Responsabilidades

• Design and develop enterprise-scale generative AI applications.
• Architect and implement RAG systems using vector databases.
• Mentor team members in traditional software engineering and AI practices.

Conocimientos

Full-stack development

Python

TypeScript

AI/ML frameworks

Agile methodology

Communication skills

Herramientas

Docker

Kubernetes

React

Descripción del empleo

Employment type: 6-12 month contract with possibility of renewal depending on business needs and personal performance. Pay in USD. Location: Remote in Latin America. Preferred locations include Peru, Mexico, Brazil, Chile, Bolivia, Ecuador, or Colombia. Timezone: Must be able to work on Central Time.

About Us

Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.

We are purpose-built, merging the industry’s top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience development, and technical platform integration, automation & security engineering.

About the role

We are seeking an experienced Senior Generative AI Software Engineer with full-stack expertise in Python and TypeScript to join our development team. In this role, you will architect, develop, and implement cutting-edge AI-powered solutions that transform how customers interact with products and services.

You will be responsible for building production-scale generative AI systems, including RAG architectures, LLM orchestration, and agentic AI applications, while ensuring scalability, security, and cloud best practices. Working in an Agile environment, you’ll lead technical innovation, mentor team members, and collaborate with cross-functional partners to deliver AI solutions that drive customer value in areas such as document analysis, research, and content drafting.

What you’ll do

• Design and develop enterprise-scale generative AI applications using Python and TypeScript, ensuring security, performance, and cost optimization.
• Architect and implement RAG (Retrieval-Augmented Generation) systems using vector databases and hybrid search strategies.
• Build and integrate LLM-powered features using frameworks such as LlamaIndex, LangChain, or custom orchestration solutions.
• Create responsive AI-driven user interfaces using React, TypeScript, and modern front-end practices.
• Develop robust APIs and microservices that expose AI capabilities with proper governance, monitoring, and safety measures.
• Lead the evaluation and selection of AI models, balancing performance, cost, and business requirements.
• Implement containerized AI applications using Docker and Kubernetes with optimized resource management for GPU workloads.
• Establish AI governance practices, including bias detection, content safety, prompt injection prevention, and compliance measures.
• Mentor team members in both traditional software engineering and emerging AI practices.
• Collaborate with product managers and stakeholders to translate business needs into innovative AI solutions.
• Monitor AI system performance, implement cost optimization strategies, and ensure reliable production operations.
• Stay current with the rapidly evolving GenAI landscape through research, experimentation, and community engagement.

What we’re looking for

• 5+ years of experience in full-stack development with strong proficiency in Python.
• 2+ years of hands-on experience building production applications with LLMs (e.g., GPT-4, Claude, Gemini, or open-source models).
• Proven experience implementing RAG systems with vector databases (e.g., Pinecone, Weaviate, Azure AI Search).
• Strong proficiency with AI/ML frameworks such as Hugging Face Transformers, LangChain, and LlamaIndex.
• Experience with prompt engineering, model evaluation, and LLM optimization techniques.
• Solid understanding of front-end technologies, including React, TypeScript, and modern UI patterns for AI applications.
• Experience with containerization (Docker, Kubernetes) and cloud platforms (Azure preferred).
• Ability to navigate ambiguity and iterate on solutions in non-deterministic AI systems.
• Excellent communication skills for explaining complex AI concepts to technical and non-technical stakeholders.
• Strong problem-solving skills and a creative approach to applying AI capabilities and commitment to responsible AI development and ethical practices.
• Advanced English proficiency (C1 or C2) with proven experience working in English-speaking environments and collaborating with global teams.
• Experience working in an Agile pair programming environment.

Desired Qualifications

• Microsoft AI Engineer Associate Certification (AI-102).
• Experience with Azure OpenAI Service, Azure AI Studio, and enterprise AI deployments.
• Knowledge of agentic AI frameworks (AutoGen, CrewAI) and multi-agent architectures.
• Experience with multimodal AI (vision, speech, text).
• Familiarity with fine-tuning techniques and custom model training.
• Experience implementing AI governance and compliance frameworks at scale.
• Knowledge of MLOps/LLMOps practices, including model monitoring and A/B testing.
• Contributions to AI/ML open-source projects or research publications.
• Experience with React micro front-ends and component-based architecture.
• Understanding of security best practices for AI applications handling sensitive data.

Our core capabilities work together to help companies untangle their toughest business and technology challenges: Business Strategy & Alignment, Digital & User Experience, Cloud Applications & Integration, Data Solutions & Analytics, Quality Engineering, and Information Security.