Design and build RAG and enterprise search architectures, including ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines (Databricks). Maintain Azure AI Search and vector indexes, implement Azure Document Intelligence pipelines, and design/maintain knowledge graph models (Neo4j). Requires 5+ years in data/search/knowledge platform roles and strong experience with metadata, lineage, governance, and secure retrieval patterns.

Hiring a Senior Data & AI Engineer with 7+ years of software engineering experience to design, develop, and maintain AI-powered applications and scalable data platforms. Key technologies include Python, SQL, AWS, Databricks, Apache Spark, DBT, TypeScript and LLM/Generative AI frameworks. Role is remote and explicitly lists Costa Rica, Peru, Colombia, and Bolivia as locations.

Senior Data & AI Engineer responsible for designing, developing, and maintaining AI-powered applications and backend services (Python/TypeScript/AWS), building scalable data ingestion and transformation pipelines (Databricks, Spark, DBT), and defining data architectures, governance, quality, monitoring, and observability. Requires 7+ years experience and hands-on work with LLM/Generative AI in production. Remote role available in Costa Rica, Peru, Colombia, and Bolivia.

Senior Data & AI Engineer responsible for designing, developing and maintaining AI-powered applications and scalable data pipelines and architectures. Requires 7+ years experience with Python, SQL, cloud-native (preferably AWS) development, Databricks, Apache Spark, dbt, data modeling/governance and production LLM/AI integrations. Remote; locations listed: Costa Rica, Peru, Colombia, Bolivia.

Senior Data & AI Engineer responsible for designing, developing, and maintaining AI-powered applications and scalable data pipelines using Python, TypeScript, AWS, Databricks, dbt, and Apache Spark. Role includes data architecture, modeling, governance, data quality, observability, and collaboration with cross-functional teams. Locations supported: Costa Rica, Peru, Colombia, Bolivia. Remote role.

Hiring a Senior AI QA Automation Engineer to design and implement automated evaluation frameworks and test automation (Python, Playwright/Selenium, API/UI/integration/E2E). Responsibilities include RAG and prompt testing, LLM/agent evaluation, defining benchmarks and metrics, CI/CD quality gates, and production AI monitoring. Location: remote; hiring for Costa Rica, Peru, Colombia, and Bolivia. Requires 5+ years' experience.

Seeking a Senior AI QA Automation Engineer with 5+ years' experience to design and implement automated evaluation frameworks for AI agents, RAG solutions, prompts and model outputs. Responsibilities include API/UI/integration/end-to-end test automation, CI/CD quality gates, production monitoring for AI quality and drift, and testing AI-specific behaviors such as hallucinations, grounding, and prompt injection.

Responsible for building automated evaluation frameworks (benchmark datasets, golden responses, regression suites, metrics, thresholds), testing AI-specific behaviours (hallucinations, grounding, citation accuracy, prompt injection, agent coordination), developing agent-powered QA solutions, implementing CI/CD quality gates, and monitoring production AI quality and drift. Required skills include strong Python, Playwright/Selenium, API/UI/integration/regression automation, Azure AI Foundry, RAG and prompt testing.

Hiring a Senior AI Agent Engineer to design, develop, test, and deploy enterprise AI agents, copilots, and multi-agent systems. Role requires strong hands-on experience with Generative AI, Azure AI Foundry, Azure OpenAI, Copilot Studio, Python, Semantic Kernel/MCP, RAG, prompt engineering, agent evaluation, guardrails, grounding/citations, context management, observability, and production monitoring. Minimum 5 years software development experience (including 2+ years on generative AI/agent applications). Location: remote in Costa Rica, Peru, Colombia, Bolivia.

Hiring a Senior AI Agent Engineer with 5+ years software development experience (including 2+ years on generative AI/agent applications). Responsibilities include designing, developing, testing and deploying enterprise AI agents, copilots and multi-agent systems using Azure AI Foundry, Copilot Studio, Azure OpenAI and Python; creating prompts, tool definitions, routing and orchestration; implementing grounding, citations, retrieval, context management and guardrails; integrating agents with enterprise tools/APIs; building prototypes; and creating automated evaluation and production monitoring. Bachelor’s degree in a related field is required. Posted on 12-10-2026.

Lead design and implementation of enterprise AI agents, copilots and multi-agent systems using Azure AI Foundry, Copilot Studio, Azure OpenAI and Python. Responsibilities include prompt and tool development, routing and orchestration, retrieval/RAG, grounding/citations, guardrails, agent evaluation, observability and production support. Requires 5+ years software development experience (including 2+ years on generative AI/agent applications) and hands-on experience with the listed Azure and agent technologies.

Remote senior role (Costa Rica, Peru, Colombia, Bolivia) requiring 5+ years software development experience and 2+ years building generative AI/agent applications. Responsibilities include building and integrating AI agents, prompt engineering, RAG, agent evaluation and guardrails, observability, and production monitoring using Azure AI Foundry, Azure OpenAI, Copilot Studio, Python, Semantic Kernel and related tools.

Senior Full Stack AI Engineer (Solution Architecture) — remote, Peru. Responsibilities include designing scalable cloud-native microservice SaaS applications, building autonomous AI agents with LangGraph and RAG/Graph pipelines, developing Python services (FastAPI), and architecting infrastructure on Azure/AWS using Docker, Kubernetes, Terraform and Ansible. Requires strong experience with AI/ML agent frameworks, databases (SQL Server, PostgreSQL, MongoDB), Node.js/Python/React, and advanced English communication.

Coforge is hiring a Senior AI Integration Engineer based in Peru (remote). The role requires 5+ years of enterprise integration/backend development experience to develop reusable APIs, connectors and MCP tools, integrate AI agents with systems (SharePoint, SAP, Databricks, SQL), implement workflow orchestration and operational controls, and apply authentication/authorization and API security practices using Azure services and DevOps approaches.

The role involves designing, developing, and maintaining intelligent automation workflows using UiPath and Microsoft Power Automate, leveraging Agentic AI and integrating ML models (UiPath AI Center, Azure AI). Responsibilities include scripting (Python/PowerShell), process analysis, CI/CD and DevOps support, testing and optimization, and collaborating within Agile/Scrum teams. Bachelor’s degree or equivalent experience and 3+ years of relevant experience required.

Work on a 0→1 engineering team building AI-powered agent systems that interact with internal systems to automate workflows and decision paths. Responsibilities include designing and implementing inference pipelines, architecting backend services that integrate with multiple internal APIs and data sources, prototyping and productionizing agent behaviors, and defining patterns for safe, observable, and controllable agent execution. Role requires 5+ years building and shipping production software with strong backend fundamentals and hands-on experience with AI/ML or LLM-based systems.

Lead and develop a cross-functional engineering team that builds AI-native Growth Engine features, core growth infrastructure (website, user communications, martech) and tooling. Role combines hands-on backend development (production-grade code), technical guidance, people leadership, cross-functional collaboration with Product and Design, and use of AI tooling to improve team productivity. Familiarity with modern languages (TypeScript, Rust, Go, Python) and experience in distributed, remote-first environments expected.

Join Enterprise Transformation to own the technical layer of Kraken's AI platform: design integration surfaces and production runbooks; onboard connectors and authentication flows (OAuth, SSO, SCIM, Okta); implement tiered spend controls and data/model governance; build internal enablement tooling (agent scaffolding, prompt assets, evaluation harnesses); manage provisioning, vendor configs, and operational processes. The role requires hands-on software development (Python), experience with LLM/SaaS APIs, and operational discipline at enterprise scale.

Senior Data Engineer + AI (remote) responsible for designing, developing, and maintaining AI-powered applications, scalable backend services, and cloud-native data platforms. Key technologies: Python, SQL, TypeScript, AWS, Databricks, Apache Spark, dbt, LLMs. Responsibilities include building end-to-end data pipelines, ensuring data quality/governance/observability, developing production-ready LLM/AI solutions, and collaborating with cross-functional teams. Requires 7+ years in software/data/AI engineering and a relevant bachelor's degree or equivalent experience.

The AI Specialist will deliver the AI LCC's core programming (including a weekly AI AAA Series), develop partnerships with AI companies, build and scale a global educator community across WhatsApp and other platforms, design learning circles, pilot AI-driven tools for summarization and translation, and track community and program health metrics. The role requires hands-on experience with foundation models and prompt engineering, community management on social-first platforms, multimedia content skills, and experience working across diverse, multi-time-zone contexts. Travel up to 30% is expected; the role does not offer visa sponsorship.