Generative AI Solutions Engineer
Skills
About This Role
Overview
- The Managed Port Calls team requires a
- Staff AI Engineer to drive AI innovation across our Marcura platform.
- This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
- The role is
- hands-on execution—building production-grade AI systems, mentoring engineers on AI/ML
- best practices, and selecting appropriate technologies and frameworks.
- Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
- Sample use cases that the role will require to build and manage:
- Convert manual processes to fully automated processes
- Partially automate processes when full automation is not achievable
- Help improve efficiency for both operations team and customers
- Reduce the amount of manual (especially repetitive) work mainly for operations team
- Predict answers to questions based on an existing historical knowledge base
- Predict costs based on historical knowledge
- Chat bot style task automation
Requirements
- Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields
- Minimum of
- 8 years of experience in relevant fields including data science and AI
Machine Learning & AI
- Experience with
- LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
- Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration
- Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management
- Proven experience designing, training, and deploying ML models in production environments
- Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines
- Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
Programming
- Strong
- coding skills in languages such as Python,
- Good to have programming experience in Java,
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
Cloud Computing
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]
Software Development
- Understanding of software development life cycle (SDLC) and agile methodologies.
- Experience with version control systems (e.g., Git).
Data Analysis
- Ability to analyze and interpret complex datasets.
Problem-Solving
- Strong analytical thinking to identify and solve operational inefficiencies.
- Ability to design and implement AI-driven solutions.
Communication
- Ability to explain complex technical concepts to non-technical stakeholders.
- Strong written and verbal communication skills.
Collaboration
- Experience working in cross-functional teams.
- Ability to collaborate with other developers, data scientists, and business analysts.
Benefits
- **Competitive Salary and Bonus**
- : We reward your expertise and contributions.
- **Inclusive Onboarding Experience**
- : Our onboarding program is designed to set you up for success right from day one.
- **Marcura Wellness Zone**
- : We value your work-life balance and well-being.
- **Global Opportunities**
- : Be part of an ambitious, expanding company with a local touch.
- **Diverse, Supportive Work Culture**
- : We're committed to inclusion, diversity, and a sense of belonging for all team members.
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