AI Solutions Engineer
2 weeks ago
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)
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