AI Solutions Engineer

Position: AI Solutions Engineer (B2B / Freelancer Contract)

Location: Remote open to candidates based in the European Union, Serbia, Moldova, Bosnia, or Spain

Role Overview

We are recruiting on behalf of our client for a skilled AI Solutions Engineer to join their global Centre of Excellence focused on Agentic AI Services. In this role, you will design, develop, and deploy intelligent agent architectures that bring cutting-edge AI innovations into real-world enterprise environments.

Youll collaborate with cross-functional teams in research, product development, and engineering to prototype and scale AI-driven systems that deliver measurable impact. Your work will span from prompt optimization and LLM fine-tuning to secure system integration and cloud deployment across Azure, AWS, or GCP. This is a hands-on role at the forefront of Agentic AI, combining creativity, deep technical expertise, and a passion for experimentation to push the limits of what AI can achieve.

Key Responsibilities

• Design, develop, and deploy Agentic AI-powered solutions tailored to diverse enterprise challenges.
• Fine-tune and optimize large language models (LLMs) such as GPT-4 and open-source alternatives.
• Engineer and refine prompts for reliability, accuracy, and contextual consistency.
• Prototype and build advanced AI applications using Python and related frameworks.
• Develop and integrate secure APIs connecting AI services with enterprise platforms (ERP, CRM, etc.).
• Build and maintain data pipelines ensuring robust and consistent input for AI models.
• Manage structured and unstructured data using vector databases and semantic search technologies.
• Scale AI solutions using Azure, AWS, or GCP, optimizing for performance and cost efficiency.
• Apply DevOps/MLOps best practices for deployment, monitoring, and lifecycle management of AI models.
• Ensure compliance with data privacy and security standards (GDPR, HIPAA) and mitigate ethical AI risks.
• Collaborate closely with cross-functional teams to drive intelligent automation and deliver business outcomes.
• Document technical architectures, implementation procedures, and project workflows.
• Contribute to internal frameworks, reusable assets, and best practice documentation.
• Stay informed of emerging AI trends, tools, and frameworks to maintain technical excellence.
• Leverage Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel to enhance agentic performance and orchestration.

Required Skills & Experience

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related technical field.
• 57 years of professional experience designing and deploying AI/ML solutions in enterprise contexts.
• Hands-on expertise in Python (including AI libraries and frameworks), prompt engineering, and model fine-tuning.
• Proven experience developing secure, scalable APIs and integrating AI systems within enterprise environments.
• Demonstrated success in delivering AI pilots, proof-of-concepts, and production-grade solutions.
• Deep understanding of AI, NLP, and machine learning principles.
• Experience working with LLMs/SLMs (e.g., GPT series or open-source equivalents).
• Knowledge of vector databases, semantic search, and data engineering pipelines.
• Familiarity with cloud platforms (Azure, AWS, GCP) and their AI ecosystems.
• Practical experience implementing DevOps/MLOps methodologies.
• Excellent problem-solving skills with strong attention to scalability, reliability, and security.
• Experience working in agile delivery environments and client-facing technical projects.
• Excellent communication and collaboration abilities across technical and business teams.
• Fluency in English, both written and spoken.

Preferred Qualifications

• Microsoft certifications such as Azure AI Engineer Associate, Data Scientist Associate, or Power Platform Fundamentals.
• Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel.
• Exposure to full-stack development or frontend integration (JavaScript, TypeScript, Java, or C#).
• Knowledge of AI governance, model evaluation, and responsible AI practices.
• Ability to translate business strategies into scalable AI architectures.
• Strong project management, analytical, and documentation skills.

Contract Type

• Engagement Model: B2B / Freelancer
• Location: Fully Remote (EU, Serbia, Moldova, Bosnia, or Spain)