What this Journey Looks LikeAt 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.What You'll Lead and BuildBuild solutions leveraging Generative AI, 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 optimise 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 organisation.What You Bring to the TableStrong 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 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.Benefits that Move you Forward.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 general reach.Connect and have fun with activities that unite our international team.Feel appreciated with personalised gifts and a thoughtful welcome kit.Grow our community and earn through our referral programme.At Pearster, your journey matters, and we're here to help you go further than you imagined.ResponsibilitiesDevelop and implement machine learning models for document understanding and processing.
Utilise Python libraries such as Pandas, NumPy, and scikit‐learn for data manipulation and analysis.
Apply NLP techniques using libraries like spaCy, NLTK, or transformers.
Implement fuzzy matching algorithms (Levenshtein distance, record linkage) for data accuracy.
Process documents using OCR, PDF parsing, and Excel data extraction methods.
Deploy machine learning models as REST APIs using Docker and Azure ML.
Understand and apply supervised and unsupervised learning techniques.
Design and manage data pipelines and ETL processes.
Collaborate with cross‐functional teams to meet project goals.Required SkillsStrong expertise in Python (Pandas, NumPy, scikit‐learn).
Experience with NLP libraries (spaCy, NLTK, transformers).
Knowledge of fuzzy matching algorithms.
Document processing skills (OCR, PDF parsing, Excel extraction).
Experience in ML model deployment (REST APIs, Docker, Azure ML).
Understanding of supervised/unsupervised learning techniques.
Familiarity with deep learning frameworks (TensorFlow, PyTorch).
Experience with LLMs for document understanding (OpenAI, Azure OpenAI).
Knowledge of Azure ML services and Azure Cognitive Services.
2‐5 years of experience in ML engineering, focusing on NLP or financial data processing.
Experience in the finance/fintech domain (reconciliation,



accounting).
EducationMaster's degree in Computer Science, Data Science, or a related field.About the RoleWe are looking for a Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.MUST HAVES4+ 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.NICE TO HAVESHands‐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.WHAT YOU WILL DOAI 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.PERKS AND BENEFITSProfessional growth: Mentorship, TechTalks, and personalised 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.AgileEngine is an Inc. **** 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!
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📌 Remote Senior Python Ai Engineer: Scalable Ai Backends (La Pampa)
🏢 Proxify
📍 La Pampa