
AI Engineer
1 day ago
We are seeking a seasoned expert to lead our machine learning engineering team.
Key Responsibilities- Merge Machine Learning Expertise: Combine deep knowledge of machine learning with hands-on experience in generative AI systems. Ensure AI products deliver measurable business value from day one.
- Develop Advanced LLM Solutions: Design, fine-tune, and deploy large language model-based systems using advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent frameworks.
- Take Ownership of the Codebase: Deliver production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph.
- Cloud Deployment: Architect and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP), making sure CI/CD, scalability, and cost-efficiency are always considered.
- Cross-Functional Collaboration: Translate complex technical concepts into actionable insights for product owners, data scientists, and domain SMEs.
- Technical Leadership: Provide guidance, coach junior team members, and foster a culture of best practices in machine learning and LLM engineering.
- 5+ years of professional experience in developing and deploying ML models in production environments.
- At least 1 year of practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents.
- Proven ability to set and guide a technical roadmap for engineering teams.
- Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph.
- Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices.
- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
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