Senior Generative Ai Engineer - Remote Work
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Benefits offered by this job
Job summary
Pearster is hiring an Agentic AI Engineer to design, build, and deploy AI-powered solutions that solve real business challenges. You’ll work remotely with cross-functional teams to implement AI workflows, RAG-based baselines, and cloud automation.
You will collaborate with engineering, product, and business stakeholders to deliver scalable, production-ready AI systems while maintaining security and governance standards.
Qualifications
- 4+ years of software engineering experience developing applications on public cloud infrastructure.
- 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
- 2+ years of experience developing agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
- Proven ability to partner with globally distributed cross-functional engineering teams.
Responsibilities
- AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate cloud configuration baselines.
- Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis to accelerate remediation.
- Policy & Infrastructure as Code (IaC): generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.
Skills
Tools
Job description
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 an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.
- 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
- 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
- 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
- Proven capability to partner with globally distributed inter-disciplinary engineering teams.
- Hands‑on experience with modern AI orchestration frameworks (LangChain, LangGraph).
- Hands‑on experience writing Rego policies (Open Policy Agent) or Regula test cases.
- Hands‑on experience with Terraform.
- Familiarity with cloud‑native security services in Amazon Web Services, Azure, and Google Cloud Platform.
- Familiarity with PagerDuty, Atlassian Suite, and Service Now.
- AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.
- Cloud Security Automation: develop AI‑enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
- Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
- 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.
- Jornada: Full-time.
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