Remote Senior Python Ai Engineer: Scalable Ai Backends

What this Journey Looks Like

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.

What You’ll Lead and Build

Build 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 Table

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 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 global 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.

Responsibilities

• Develop 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 Skills

• Strong expertise in Python (Pandas,