Coderoad

Engagement Type: Contractor (100% Remote - Latin America)
<h3>About CodeRoad</h3>
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
<h3>Why Build Your Career at CodeRoad?</h3>
<ul>
<li>
High-Velocity Work &amp; Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
</li>
<li>
Career Continuity &amp; Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
</li>
<li>
Engineering Autonomy &amp; Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
</li>
<li>
High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
</li>
</ul>
<h3>Key Responsibilities</h3>
<ul>
<li>
Architect &amp; Scale Data Models: Design and implement robust, normalized data models capable of harmonizing complex, heterogeneous source systems into a unified single source of truth.
</li>
<li>
Drive Strategic Engineering Standards: Lead org-wide architectural decisions across cloud warehousing, orchestration, and pipeline reliability, establishing benchmarks for performance and maintainability.
</li>
<li>
Build Production-Grade Services: Develop and maintain high-throughput backend data services, microservices, and internal tooling using Python and modern frameworks such as FastAPI or Flask.
</li>
<li>
Orchestrate Automated Pipelines: Engineer and optimize scalable transformation pipelines and workflow automation using dbt, Dataform, and Apache Airflow (or Google Cloud Composer).
</li>
<li>
Ensure Data Trustworthiness &amp; Resilience: Implement comprehensive data quality frameworks featuring automated testing, anomaly detection, real-time observability, and disciplined incident response protocols.
</li>
<li>
Cross-Functional Technical Leadership: Partner closely with executive stakeholders across Finance and Operations, translating complex technical tradeoffs into clear, actionable business strategies.
</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>
Extensive Domain Expertise: 5+ years of hands-on data engineering experience, with demonstrated leadership in driving org-wide architecture and foundational data systems.
</li>
<li>
Core Cloud Stack Mastery: Deep expertise in modern cloud data warehouses (Google BigQuery preferred) and transformation frameworks (dbt or Dataform), backed by advanced SQL proficiency.
</li>
<li>
Advanced Python Engineering: Proven ability to build, deploy, and support production services, RESTful APIs, or microservices within cloud environments.
</li>
<li>
Scalable Orchestration &amp; Modeling: Demonstrated success managing distributed workflows using Airflow or Cloud Composer, alongside expertise in relational and analytical dimensional modeling.
</li>
<li>
Autonomous Ownership: Exceptional analytical mindset with end-to-end accountability for system reliability, data hygiene, and performance optimization.
</li>
<li>
Communication &amp; English Fluency: Advanced English proficiency (C1/C2, written and verbal) with the ability to articulate technical architecture to US-based cross-functional partners.
</li>
</ul>
<h3>What You’ll Love</h3>
<ul>
<li>
USA Contractor / 100% Remote
</li>
<li>
Competitive Pay (USD)
</li>
<li>
Holidays Off &amp; Paid Time Off
</li>
<li>
Health insurance assistance program
</li>
<li>
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
</li>
</ul>
<h3>Ready to Build What Actually Ships?</h3>
Explore opportunities and <a href="https://job-boards.greenhouse.io/coderoad" target="_blank" rel="noopener noreferrer ugc">submit your application today!</a>

Senior Data Engineer

<h3> </h3>
Engagement Type: Full-Time / Contractor
Location: Argentina, Colombia and Brazil
<h3>About CodeRoad</h3>
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
<h3>Why Build Your Career at CodeRoad?</h3>
<ul>
<li>
High-Velocity Work &amp; Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
</li>
<li>
Career Continuity &amp; Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
</li>
<li>
Engineering Autonomy &amp; Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
</li>
<li>
High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
</li>
</ul>
<h3>Key Responsibilities</h3>
<ul>
<li>
Architect &amp; Build Data Pipelines: Lead the design and implementation of scalable, production-grade ETL/ELT pipelines for large-scale data ingestion, transformation, and processing using tools like Apache Spark, Airflow, Kafka, and dbt.
</li>
<li>
Evolve Cloud Data Architecture: Design and optimize cloud data warehouses, lakes, and lakehouses (Snowflake, Databricks, BigQuery, or Amazon Redshift) to support advanced analytics, BI, and reporting workloads.
</li>
<li>
Drive Data Quality &amp; Observability: Implement automated data validation schemas, monitoring frameworks, and testing suites to ensure low-latency performance, high data accuracy, and strict security compliance.
</li>
<li>
Master Data Modeling &amp; Optimization: Engineer resilient data models utilizing enterprise frameworks (Star Schema, Data Vault 2.0, Dimensional Modeling) while tuning query performance and storage efficiency.
</li>
<li>
Collaborate Across Engineering PODs: Partner closely with Data Scientists, ML Engineers, and Business Analytics stakeholders to translate complex business objectives into scalable technical data architectures.
</li>
<li>
Elevate Team Standards: Mentor mid-level and junior data engineers, establish automated deployment patterns for data pipelines, and maintain comprehensive architectural documentation.
</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>
Core Experience: 5+ years of dedicated professional data engineering experience, with a proven track record of architecting distributed data platforms in high-velocity startup or nearshore environments.
</li>
<li>
Data Tech Stack Mastery: Deep hands-on experience with modern data orchestration and processing engines (Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, Databricks, BigQuery, or Redshift).
</li>
<li>
Programming &amp; Scripting: Advanced proficiency in Python or Scala, coupled with expert-level mastery of complex SQL performance tuning and query optimization.
</li>
<li>
Cloud Infrastructure &amp; Modeling: Hands-on experience building enterprise data solutions on AWS, Azure, or GCP, alongside a deep command of data modeling paradigms (Star Schema, Data Vault).
</li>
<li>
Ownership Mindset: Strong autonomous troubleshooting capabilities, a passion for data integrity, and a proactive approach to optimizing workflow efficiencies.
</li>
<li>
Language Proficiency: Advanced English fluency (both written and spoken) is mandatory for direct, real-time collaboration with U.S.-based client teams and stakeholders.
</li>
</ul>
<h3>What You’ll Love</h3>
<ul>
<li>
USA Contractor / 100% Remote
</li>
<li>
Competitive Pay (USD)
</li>
<li>
Holidays Off &amp; Paid Time Off
</li>
<li>
Health insurance assistance program
</li>
<li>
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
</li>
</ul>
<h3>Ready to Build What Actually Ships?</h3>
Explore opportunities and <a href="https://job-boards.greenhouse.io/coderoad" target="_blank" rel="noopener noreferrer ugc">submit your application today!</a>
<h3> </h3>

Engagement Type: Full-Time 
<h3>About CodeRoad</h3>
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
<h3>Why Build Your Career at CodeRoad?</h3>
<ul>
<li>
High-Velocity Work &amp; Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
</li>
<li>
Career Continuity &amp; Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
</li>
<li>
Engineering Autonomy &amp; Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
</li>
<li>
High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
</li>
</ul>
<h3>Key Responsibilities</h3>
<ul>
<li>
Architect Multi-Agent Orchestration Systems: Design and deploy stateful multi-agent coordination graphs using LangGraph or custom DAG loops, enabling dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and self-healing error recovery.
</li>
<li>
Engineer MCP Interfaces &amp; Connectors: Build standardized Model Context Protocol (MCP) servers and connectors to securely expose Salesforce tools, custom objects, actions, and enterprise context to autonomous agent runners.
</li>
<li>
Optimize Reasoning, Latency &amp; Token Spend: Architect multi-tiered LLM routing strategies across model tiers (utilizing Claude 3.5 Sonnet/Opus for complex multi-turn reasoning and Haiku for high-throughput utility tasks) to balance latency, accuracy, and API costs.
</li>
<li>
Establish Automated Evaluation Pipelines: Implement automated eval harnesses (Promptfoo, Ragas, DeepEval) within CI/CD pipelines to continuously measure context grounding, schema validity, and hallucination resistance against golden benchmark datasets.
</li>
<li>
Enforce Defense-in-Depth Security &amp; Observability: Implement end-to-end telemetry and security using LangSmith or Langfuse, combined with input sanitization, field-level security (FLS) compliance, and automated PII scrubbing.
</li>
<li>
Lead Technical Strategy &amp; Architecture Standards: Establish specification-driven development patterns, clear API contracts, and architectural blueprints, communicating technical trade-offs directly to engineering teams and C-suite stakeholders.
</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>
7+ Years of Enterprise Software Engineering: Proven experience building robust software systems in Python, TypeScript / Node.js, Java, or Apex.
</li>
<li>
3+ Years of Production AI / LLM Experience: Demonstrated track record designing, evaluating, and scaling production autonomous agent systems and RAG architectures in enterprise environments.
</li>
<li>
Agentic AI &amp; Tooling Mastery: Deep expertise with LangGraph, LangChain, Anthropic / Claude APIs (tool calling, prompt caching, Claude Code), MCP, and observability suites (LangSmith, Langfuse, OpenTelemetry).
</li>
<li>
Rigorous Evaluation Mechanics: Direct experience setting up automated test gates using Promptfoo, Ragas, or LLM-as-a-judge frameworks to monitor non-deterministic behavior and context degradation.
</li>
<li>
Proactive Ownership &amp; Diagnostic Skills: High autonomy to isolate complex latency bottlenecks, debug agent routing loops, and turn ambiguous enterprise needs into secure, deterministic technical realities.
</li>
<li>
Advanced English Fluency: Exceptional written and spoken English communication skills for direct technical leadership and consultation with U.S.-based client executives.
</li>
<li>
Legal Authorization: Legal authorization to work in the United States.
</li>
<li>
Bonus Ecosystem Exposure: Hands-on experience with Salesforce APIs (REST, SOQL/SOSL, Platform Events), Salesforce Data Cloud, vector search, Agentforce, containerized MCP deployments, or Spec-Driven Development (SDD) is a strong plus.
</li>
</ul>
<h3>What You’ll Love</h3>
<ul>
<li>
Competitive Pay ($190,000–$250,000 USD / year)
</li>
<li>
Comprehensive Benefits Package (Medical, Dental, Vision &amp; Retirement Plan)
</li>
<li>
Holidays Off &amp; Paid Time Off (PTO)
</li>
<li>
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
</li>
</ul>
<h3>Ready to Build What Actually Ships?</h3>
Explore opportunities and <a href="https://job-boards.greenhouse.io/coderoad" target="_blank" rel="noopener noreferrer ugc">submit your application today!</a>

Lead Agentic AI Engineer

<h3>About CodeRoad</h3>
<h3></h3>
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape
 
<h3>About the Role</h3>
<h3></h3>
As a Senior Agentic AI Developer, you will serve as the technical backbone of our AI engineering initiatives, designing, building, and deploying production-ready AI agents and agentic workflows. You will architect autonomous systems leveraging cutting-edge LLM frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) to seamlessly connect AI agents with complex enterprise infrastructures and data ecosystems.
This role is critical to transforming business requirements into scalable, secure, and highly reliable agentic solutions on AWS. You will anchor technical execution and architectural strategy, establishing robust evaluation, observability, and human-in-the-loop guardrails while guiding nearshore development teams through the entire lifecycle of production AI deployment.
<h3>Key Responsibilities</h3>
<ul>
<li>
Architect &amp; Build: Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK).
</li>
<li>
Anchor Cloud Infrastructure: Own the cloud deployment and security architecture of LLM-powered applications on AWS, using Amazon Bedrock and scalable microservices.
</li>
<li>
Integrate &amp; Orchestrate: Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms like n8n.
</li>
<li>
Optimize Knowledge Systems: Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate to optimize contextual retrieval and reranking.
</li>
<li>
Evaluate &amp; Secure: Implement end-to-end evaluation, guardrails, and security measures—including task-success metrics, hallucination checks, and protection against prompt injection.
</li>
<li>
Monitor &amp; Mentor: Lead system observability using tools like LangSmith, Langtrace, or AgentOps while mentoring engineering PODs in Python and AI development best practices.
</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>
Experience: 5+ years in professional software engineering, with 2–3+ years dedicated to LLM application engineering and agentic AI systems.
</li>
<li>
Tech Stack: Advanced Python, AWS (Amazon Bedrock), LangGraph / CrewAI, Vector DBs (Pinecone, Weaviate), RAG architecture, and MCP integration.
</li>
<li>
Observability &amp; Eval Tools: Hands-on experience with LangSmith, Langtrace, or AgentOps, along with evaluation frameworks for LLM groundedness and accuracy.
</li>
<li>
Soft Skills: Strong ownership mindset, technical leadership, and the ability to mentor developers and articulate complex architecture to non-technical stakeholders.
</li>
<li>
Language Skills: Advanced English (written and spoken) is mandatory.
</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
Exposure to reinforcement learning and advanced multi-agent coordination architectures.
</li>
<li>
Hands-on experience building user-facing AI interfaces with Chainlit, Streamlit, or React.
</li>
<li>
Multicloud experience with Azure AI or Google Cloud Platform (GCP).
</li>
</ul>
<h3>What You’ll Love</h3>
<ul>
<li>
100% Remote: Work from anywhere in Latin America.
</li>
<li>
Holidays Off: Observe local national holidays.
</li>
<li>
Paid Time Off: Generous PTO policies for rest and personal time.
</li>
<li>
Health Insurance Assistance: Financial support for your healthcare coverage.
</li>
<li>
Competitive USD Compensation: Earn top-tier market rates pegged to the US Dollar.
</li>
<li>
Growth Opportunities: Continuous career evolution within high-impact global projects.
</li>
</ul>

Senior Agentic AI Engineer

<h2> </h2>
<div>
<div>
Engagement Type: Contractor (100% Remote, Latin America)
<h3>About CodeRoad</h3>
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
<h3>Why Build Your Career at CodeRoad?</h3>
<ul>
<li>
High-Velocity Work &amp; Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
</li>
<li>
Career Continuity &amp; Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
</li>
<li>
Engineering Autonomy &amp; Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
</li>
<li>
High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
</li>
</ul>
<h3>Key Responsibilities</h3>
<ul>
<li>
Architect &amp; Scale Robust Pipelines: Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures that ingest, process, and deliver large, complex datasets reliably.
</li>
<li>
Drive Automation &amp; System Reliability: Identify opportunities to automate manual workflows, optimize query execution, and re-engineer cloud infrastructure to enhance data freshness, scalability, and system fault tolerance.
</li>
<li>
Modernize Cloud Data Infrastructure: Build production-grade ETL/ELT pipelines using Python, SQL, and enterprise cloud ecosystems (Azure / GCP) to extract and unify data across distributed sources.
</li>
<li>
Empower Analytics &amp; AI Initiatives: Develop, test, and maintain tailored data tooling, data marts, and feature stores that enable analytics engineers and data scientists to deploy performant models and business intelligence solutions.
</li>
<li>
Take Technical Ownership: Collaborate directly with cross-functional stakeholders in North America, leading root cause analysis on pipeline bottlenecks, managing dependencies, and ensuring sound data governance across environments.
</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>
Proven Engineering Track Record: 4+ years of professional experience in data engineering, with proven expertise in data modeling, metadata management, and workload orchestration.
</li>
<li>
Core Technology Mastery: Advanced proficiency in Python and complex SQL; hands-on production experience with Databricks (Scala experience is a strong plus).
</li>
<li>
Big Data &amp; Cloud Tooling: Practical experience with distributed processing engines like Apache Spark, paired with cloud data platforms such as Azure Data Factory, Azure Synapse, or Google BigQuery.
</li>
<li>
Modern Pipeline Delivery: Solid track record architecting both stream-based and batch-oriented data pipelines capable of handling semi-structured and unstructured data at scale.
</li>
<li>
Consultative Mindset &amp; Communication: Advanced English proficiency (B2+/C1) with exceptional written and spoken communication skills, comfortable driving technical conversations with U.S.-based engineering teams aligned to East or West Coast business hours.
</li>
</ul>
<h3>What You’ll Love</h3>
<ul>
<li>
USA Contractor / 100% Remote
</li>
<li>
Competitive Pay (USD)
</li>
<li>
Holidays Off &amp; Paid Time Off
</li>
<li>
Health insurance assistance program
</li>
<li>
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
</li>
</ul>
<h3>Ready to Build What Actually Ships?</h3>
Explore opportunities and <a href="https://job-boards.greenhouse.io/coderoad" target="_blank" rel="noopener noreferrer ugc">submit your application today!</a>
</div>
</div>
<h2> </h2>

Coderoad

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Senior Data Engineer

Senior Data Engineer

Lead Agentic AI Engineer

Senior Agentic AI Engineer

Senior Data Engineer

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