Generative AI Software Engineer

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September 26

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Concord

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Artificial Intelligence • Consulting • Technology

Concord is a technology company specializing in building connected experiences through digital transformation. With a strong focus on utilizing artificial intelligence and analytics, Concord offers a wide array of consulting services across various domains including digital experience solutions, e-commerce, application development, and data security compliance. The company helps businesses unlock the value of their data to accelerate performance and improve customer engagement. Concord serves industries such as healthcare, consumer and retail, financial services, and manufacturing, providing industry-specific solutions that aim to enhance business processes and customer interactions.

501 - 1000 employees

🤖 Artificial Intelligence

📋 Description

• Architect, develop, and implement cutting-edge AI-powered solutions that transform how customers interact with products and services. • Build production-scale generative AI systems, including RAG architectures, LLM orchestration, and agentic AI applications, while ensuring scalability, security, and cloud best practices. • Design and develop enterprise-scale generative AI applications using Python and TypeScript, ensuring security, performance, and cost optimization. • Architect and implement RAG 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. • 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. • Lead the evaluation and selection of AI models, balancing performance, cost, and business requirements. • Mentor team members in both traditional software engineering and emerging AI practices and 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.

🎯 Requirements

• 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. • 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: 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.

🏖️ Benefits

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