AI Engineer 8330
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Job Summary
We are looking for an experienced AI Engineer to design develop deploy and optimize Artificial Intelligence solutions powered by Large Language Models (LLMs) intelligent agents and process automation.
The ideal candidate will be responsible for building scalable secure and reliable AI applications leveraging technologies such as Python RAG vector databases LLM APIs and cloud platforms to streamline business processes and improve operational efficiency.
We are seeking a professional with strong analytical skills an innovative mindset and hands-on experience deploying AI solutions into production environments.
Design develop and deploy applications powered by Large Language Models (LLMs) including GPT Claude and open-source models as well as AI agents and automated workflows.
Build and implement Retrieval-Augmented Generation (RAG) architectures to retrieve process and analyze information from multiple document sources.
Develop AI integrations with enterprise platforms such as Salesforce Microsoft 365 SharePoint and document management systems.
Implement intelligent automation solutions for document processing content generation and information analysis.
Design evaluation and testing frameworks to ensure the accuracy reliability and consistency of AI-generated outputs.
Implement security privacy and data protection controls to safeguard sensitive and confidential information.
Monitor maintain and optimize AI solutions in production focusing on performance quality and cost efficiency.
Evaluate emerging AI tools frameworks and models to recommend technological improvements.
Collaborate with technical teams and business stakeholders to identify automation opportunities and define requirements.
Document developed solutions and provide technical guidance and training to end users.
Minimum 3 years of professional experience in software engineering or software development.
At least 1 year of hands-on experience building and deploying LLM-powered applications in production environments.
Strong proficiency in Python.
Hands-on experience with LLM APIs such as OpenAI GPT Anthropic Claude or open-source models.
Experience with Prompt Engineering RAG architectures vector databases and AI agent frameworks.
Experience with cloud platforms such as Azure AWS or Google Cloud Platform (GCP).
Practical experience developing and integrating REST APIs.
Experience working with SQL and relational databases.
Knowledge of CI/CD practices application deployment and maintenance.
Solid understanding of data security privacy and sensitive information protection.
Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
Experience with TypeScript and JavaScript.
Experience integrating AI solutions with Salesforce Microsoft 365 and SharePoint.
Previous experience in the legal industry or professional services.
Bachelors degree in Computer Science Software Engineering Data Science or a related field or equivalent practical experience.
Required Skills:
Degree or technical qualification in Information Technology Computer Science Systems Engineering or a related field. Minimum 4 years of experience in IT Help Desk Technical Support or Junior Systems Administration. Minimum 2 years of experience as a Technical Lead IT Support Supervisor or Tier 2 Support Technician. Proven experience supervising coaching and developing IT support teams. Experience working with Managed Service Providers (MSPs) Internet Service Providers (ISPs) and technology vendors. Strong knowledge of ticketing systems SLA management incident resolution and technical escalations. Hands-on knowledge of networking hardware software workstations firewalls switches and wireless access points. Experience troubleshooting complex technical issues performing root cause analysis and supporting end users. Knowledge of IT asset management software licensing and technical documentation. Ability to manage both local and offshore or geographically distributed support teams. Help Desk-related training or certifications such as CompTIA A Network or equivalent. Preferred Qualifications: Microsoft Cisco ITIL or HDI certifications. Experience implementing continuous improvement initiatives and IT service management processes. Knowledge of cybersecurity IT compliance and cost optimization. Experience implementing or improving ticketing and IT asset management systems. Key Skills and Competencies Strong technical leadership and team management. Excellent communication and customer service skills. Analytical thinking and problem-solving abilities. Strong organizational and prioritization skills. Incident management and escalation handling. Ability to work effectively with multicultural and geographically distributed teams. Results-driven mindset and commitment to continuous improvement.
Required Education:
Bachelors degree in Computer Science Engineering Data Science or a related field or equivalent practical experience
