AI Solutions Engineer Bucharest

AI Solutions Engineer
Bucureşti
Bucharest, Bucharest, Romania

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
- edge AI innovations into
- world enterprise environments.

Youll collaborate with
- 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
- tuning to secure system integration and cloud deployment across Azure, AWS, or GCP. This is a
- 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
  - 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 Dev
  Ops/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
  - 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
  - tuning.

• Proven experience developing secure, scalable APIs and integrating AI systems within enterprise environments.

• Demonstrated success in delivering AI pilots,
  -
  - concepts, and
  - grade solutions.

• Deep understanding of AI, NLP, and machine learning principles.

• Experience working with LLMs/SLMs (e. g. , GPT series or
  - 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 Dev
  Ops/MLOps methodologies.

• Excellent
  - solving skills with strong attention to scalability, reliability, and security.

• Experience working in agile delivery environments and
  - 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 (Java
  Script, Type
  Script, 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)