Ai Engineer (Rag) - Remote Work
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Benefits offered by this job
Job summary
Pearster is seeking a Senior Data and Artificial Intelligence professional to design, build, and deploy data architectures for Oracle Cloud deployments. You will partner with customers, sales, engineering, and product teams to translate data challenges into scalable, production-ready solutions.
The role emphasizes hands-on data engineering, architecture design, and multi-cloud considerations, with a strong focus on reliability, security, and cost efficiency.
Qualifications
- 8+ years of experience in data engineering, data architecture, or related roles.
Responsibilities
- Discover customer's data challenges, priorities, growth expectations, and success criteria.
- Design data platforms for integration, storage, processing, and analytics.
- Recommend data lake, lakehouse, or data warehouse approaches based on customer needs.
- Design batch and real-time pipelines, including ETL/ELT and integration across platforms.
- Assist customers in architecture trade-offs across security, governance, performance, scalability, resilience, and cost.
- Design for reliable operation with monitoring and failure recovery.
- Lead technical discussions, demos, and proofs of concept to production.
- Collaborate with client and internal teams to resolve integration and operational challenges.
Skills
Tools
Job description
Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.
What you’ll do
- Discover customer's data challenges, priorities, growth expectations, and success criteria.
- Design data platforms for integration, storage, processing, and analytics.
- Recommend data lake, lakehouse, or data warehouse approaches based on each customer’s needs and existing environment.
- Design batch and real‑time pipelines, including ETL/ELT and integration across platforms.
- Help customers make informed architecture trade‑offs across security, data governance, performance, scalability, resilience, operational needs, and cost.
- Design for reliable operation, including monitoring, failure recovery, and the ability to adapt as demand grows.
- Lead technical discussions, demonstrations, and proofs of concept, and help customers bring validated solutions into production.
- Work with customer and internal teams to resolve integration and operational challenges and support long‑term adoption.
- Build the data foundation for analytics, machine learning, and generative AI use cases when relevant.
What we’re looking for
- 8+ years of experience in data engineering, data architecture, or related roles, including hands‑on experience designing enterprise data platforms that scale with demand, recover from failures, and operate reliably in production.
- Practical knowledge of distributed processing, data integration, and modern analytics architectures.
- Experience with technologies such as Spark, Databricks, Snowflake, BigQuery, or cloud data services.
- The ability to connect architecture decisions to business outcomes and explain trade‑offs to different audiences.
- Experience working directly with customers from discovery through delivery.
- Experience with OCI and multicloud architectures is a plus.
If you enjoy understanding what customers need, navigating complex data environments, and helping teams put reliable solutions into production, we’d like to hear from you.
Qué harás
- Comprender los desafíos de datos de cada cliente, sus prioridades de negocio, planes de crecimiento y criterios de éxito.
- Diseñar plataformas para integración, almacenamiento, procesamiento y análisis de datos, eligiendo arquitecturas de data lake, lakehouse o data warehouse según cada caso.
- Diseñar pipelines batch y en tiempo real, incluyendo ETL/ELT e integración entre plataformas.
- Orientar decisiones de arquitectura considerando seguridad, gobierno de datos, rendimiento, escalabilidad, resiliencia, operación y costos.
- Diseñar soluciones preparadas para operar de forma confiable en producción, con monitoreo, recuperación ante fallas y capacidad de adaptación a nuevas demandas.
- Liderar conversaciones técnicas, demostraciones y pruebas de concepto, y ayudar a llevar soluciones validadas a producción.
- Trabajar con equipos del cliente y de Oracle para resolver desafíos de integración y operación e impulsar la adopción sostenida de Oracle Cloud Infrastructure (OCI).
- Establecer la base de datos necesaria para casos de analytics, machine learning e IA generativa cuando corresponda.
Qué buscamos
- Más de 8 años de experiencia en ingeniería de datos, arquitectura de datos o funciones relacionadas, incluyendo experiencia práctica en el diseño de plataformas empresariales.
- Experiencia con plataformas que escalan, se recuperan de fallas y operan de manera confiable en producción.
- Conocimiento práctico de procesamiento distribuido, integración de datos y arquitecturas modernas de analytics.
- Experiencia con tecnologías como Spark, Databricks, Snowflake, BigQuery o servicios de datos en la nube.
- Capacidad para relacionar decisiones de arquitectura con resultados de negocio y explicar sus ventajas y compromisos a diferentes públicos.
- Experiencia trabajando directamente con clientes, desde el descubrimiento de necesidades hasta la entrega de soluciones.
- Se valorará la experiencia con OCI y arquitecturas multicloud.
Spoiler: This is where your next big move begins.
At Pearster, we are hiring an AI Engineer to join our team. This is a 100% remote position where you will be responsible for designing, building, and implementing AI‑powered solutions that solve real business challenges and create meaningful impact.
You will work with modern Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), Machine Learning, and intelligent automation, collaborating with cross‑functional teams to transform ideas and business needs into scalable, production‑ready solutions.
We are looking for a curious, hands‑on, and innovative professional who enjoys experimenting with emerging technologies, solving complex problems, and turning the latest advances in AI into practical solutions.
- Build solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning.
- Design, develop, and deploy AI‑powered applications and solutions.
- Develop and integrate AI agents, APIs, and intelligent automation workflows.
- Build solutions using RAG (Retrieval‑Augmented Generation), embeddings, vector databases, and prompt engineering.
- Integrate AI models and services from platforms such as OpenAI, Anthropic, Google, AWS, Azure, or similar providers.
- Develop prototypes and Proofs of Concept (POCs) and help transform successful experiments into production‑ready solutions.
- Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost.
- Collaborate with Engineering, Product, and business stakeholders to identify opportunities where AI can create meaningful value.
- Integrate AI capabilities into existing applications, platforms, and workflows.
- Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems.
- Stay up to date with emerging AI technologies, frameworks, tools, and industry best practices.
- Share knowledge and contribute to building AI capabilities and best practices across the organization.
- Strong programming skills, preferably in Python.
- Professional experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Hands‑on experience building applications using Generative AI and Large Language Models (LLMs).
- Experience integrating APIs and developing backend services.
- Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.
- Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies.
- Experience working with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Understanding of Git, APIs, CI/CD, and modern software development practices.
- Strong analytical and problem‑solving skills.
- Ability to work independently in a fully remote environment.
- Strong communication and collaboration skills.
- Intermediate to advanced English level to collaborate effectively in an international environment.
- We’re here to amplify your brilliance, not contain it.
- Work from anywhere with true flexibility and freedom.
- Earn in USD with compensation that matches your expertise.
- Recharge confidently with dedicated paid time off.
- Advance your career with fully covered international certifications.
- Access coworking spaces worldwide whenever you want a professional setup.
- Strengthen your English and expand your global reach.
- Connect and have fun with activities that unite our international team.
- Feel appreciated with personalized gifts and a thoughtful welcome kit.
- Grow our community and earn through our referral program.
At Pearster, your journey matters, and we’re here to help you go further than you imagined.
AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.
- - Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
- - 5+ years software development experience (or equivalent demonstrated skill)
- - Strong React, API development, application architecture, automated testing, CI/CD
- - Experience building AI‑assisted apps, agentic workflows, or tool‑calling solutions
- - Experience with MCP, structured outputs, context management, or comparable frameworks
- - Experience with auth/authz, RBAC, and secure coding practices
- - Databricks, Unity Catalog, Data Lake, or comparable
- - GitLab CI/CD or comparable
- - Policy-as-code, infrastructure-as-code, configuration‑driven platforms
- - Experience building data marketplaces, governance platforms, or internal developer platforms
- - Familiarity with privacy/security/regulatory/AI governance controls
- - Experience in regulated or risk‑sensitive environments.
- - Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
- - Build agentic workflows and MCP‑based integrations connecting AI applications to enterprise data/tools
- - Implement structured outputs, workflow state management, human‑approval steps, and error recovery
- - Build authentication, authorization, RBAC, and audit logging
- - Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
- - Partner with domain experts and PMs to translate requirements into scalable solutions
- - Design reusable, configuration‑driven components for cross‑team use
- - Own production‑quality code, tests, and documentation
- - Mentor other engineers; guide technical direction across teams
- - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- - Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
- - Exciting projects : Modern solutions with Fortune 500 and top product companies.
- - Flextime : Flexible schedule with remote and office options.
LangChain.
LangGraph.
AWS.
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