AI Engineer (GenAI)
TypeContract
LocationArgentina
Posted2 hours ago
Company Overview
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
We're seeking a highly motivated AI Engineer (GenAI) to join our project team building an AI-first platform on Microsoft Azure for our multinational professional services client. This role blends hands-on GenAI/agent development with strong software engineering fundamentals, in a team that values fast iteration, rigorous testing, and close collaboration with client stakeholders.
Responsibilities:
Design and build GenAI features on Azure AI Foundry — implementing and iterating on agents, including system prompt design, tool/function calling, and multi-step agent orchestration
Bring engineering rigor to non-deterministic systems: design evals, measure output quality, and catch regressions through automated testing and CI
Leverage AI coding tools and agents (e.g., Factory/Droid, GitHub Copilot) to accelerate delivery, applying sound judgment on model trade-offs and when to use each
Contribute to our .NET microservices architecture on Azure, including deployment and maintenance across environments
Improve repository workflows and CI/CD pipelines to reduce friction and keep the team shipping cleanly
Partner with project leadership to iterate quickly and stay aligned with client requirements
Workplace: This is a remote position for candidates based in Colombia or Argentina only
Must Have Skills:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
Proven experience as an AI Engineer or senior full-stack developer with a strong focus on Generative AI
Proficiency in .NET
Hands-on experience with frontend frameworks such as React (preferred) or Angular
Hands-on experience building LLM/agent features on Azure AI Foundry (or equivalent), with a solid grasp of agent fundamentals: system prompts, tool/function calling, and orchestration
Familiarity with evaluating AI systems — designing evals, measuring output quality, and regression testing
Expert-level usage of AI coding assistants/agents (e.g., Factory, Droid, Cursor, GitHub Copilot) to accelerate delivery
Experience with Azure DevOps — repository management, CI/CD pipelines, and environment configuration
Strong understanding of cloud-native and microservices architectures
Preferred Skills:
Knowledge of RAG architectures and large-scale document processing
Experience with Semantic Kernel or similar agent/orchestration frameworks
Familiarity with Streamlit or similar tools for rapid prototyping and client demos
Certifications in Microsoft Azure or AI-related specialized fields
Experience working under high-velocity agile frameworks
Microservices experience a plus
Professional Skills:
Excellent English communication and interpersonal skills
Excellent problem-solving skills and comfort operating in a fast-paced, iterative environment.
Strong organizational and time management skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Bridgenext is an Equal Opportunity Employer
Originally posted on Himalayas
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
We're seeking a highly motivated AI Engineer (GenAI) to join our project team building an AI-first platform on Microsoft Azure for our multinational professional services client. This role blends hands-on GenAI/agent development with strong software engineering fundamentals, in a team that values fast iteration, rigorous testing, and close collaboration with client stakeholders.
Responsibilities:
Design and build GenAI features on Azure AI Foundry — implementing and iterating on agents, including system prompt design, tool/function calling, and multi-step agent orchestration
Bring engineering rigor to non-deterministic systems: design evals, measure output quality, and catch regressions through automated testing and CI
Leverage AI coding tools and agents (e.g., Factory/Droid, GitHub Copilot) to accelerate delivery, applying sound judgment on model trade-offs and when to use each
Contribute to our .NET microservices architecture on Azure, including deployment and maintenance across environments
Improve repository workflows and CI/CD pipelines to reduce friction and keep the team shipping cleanly
Partner with project leadership to iterate quickly and stay aligned with client requirements
Workplace: This is a remote position for candidates based in Colombia or Argentina only
Must Have Skills:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
Proven experience as an AI Engineer or senior full-stack developer with a strong focus on Generative AI
Proficiency in .NET
Hands-on experience with frontend frameworks such as React (preferred) or Angular
Hands-on experience building LLM/agent features on Azure AI Foundry (or equivalent), with a solid grasp of agent fundamentals: system prompts, tool/function calling, and orchestration
Familiarity with evaluating AI systems — designing evals, measuring output quality, and regression testing
Expert-level usage of AI coding assistants/agents (e.g., Factory, Droid, Cursor, GitHub Copilot) to accelerate delivery
Experience with Azure DevOps — repository management, CI/CD pipelines, and environment configuration
Strong understanding of cloud-native and microservices architectures
Preferred Skills:
Knowledge of RAG architectures and large-scale document processing
Experience with Semantic Kernel or similar agent/orchestration frameworks
Familiarity with Streamlit or similar tools for rapid prototyping and client demos
Certifications in Microsoft Azure or AI-related specialized fields
Experience working under high-velocity agile frameworks
Microservices experience a plus
Professional Skills:
Excellent English communication and interpersonal skills
Excellent problem-solving skills and comfort operating in a fast-paced, iterative environment.
Strong organizational and time management skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Bridgenext is an Equal Opportunity Employer
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.