Agentic AI Solutions Engineer
Job Description
REQUIREMENTS
- 6 to 8 years of experience in AI, machine learning, and solution architecture
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field
- Hands-on experience with Microsoft Azure and AI tools
- Proficiency in Python, Java, or C++
- Experience with containerization (Docker, Kubernetes) and DevOps practices
- Proven experience delivering digital transformation in highly regulated environments like fintech or banking
- Experience with frameworks such as Hugging Face, LangChain, or OpenAI APIs
Preferred
- Experience with reinforcement learning, NLP, or computer vision
- Knowledge of AI ethics and bias mitigation strategies
RESPONSIBILITES
- Design, develop, and deploy Agentic AI solutions including autonomous agents and multi-agent systems
- Drive architecture governance, code quality, and technical standards
- Integrate AI solutions with enterprise platforms like Salesforce CRM, datalakes, and APIs
- Implement AI orchestration frameworks and agent-based workflow automation
- Integrate AI with legacy systems via RESTful APIs or middleware
Are you interested in this position?
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