Related skills
java python scala ai llmsπ Description
- Architect and lead scalable data and AI platforms across distributed systems.
- Develop and deploy agentic AI solutions (autonomous or semi-autonomous).
- Provide thought leadership in data architecture, analytics, and AI design.
- Collaborate cross-functionally with data scientists, engineers, and product teams.
- Evaluate tools like GCP, Vertex AI, or LangChain for advanced reasoning.
- Mentor teams in AI technologies, data governance, and ethical AI deployment.
π― Requirements
- Strong proficiency in Python, Java, or Scala with data pipelines/ML workflows.
- Data engineering, ML, and cloud computing (GCP/AWS/Azure).
- Deep understanding of LLMs, RAG, and agentic AI systems.
- Proven ability to build and scale intelligent agents or AI systems.
- Strong problem-solving, system design, and stakeholder mgmt.
π Benefits
- Collaborative work culture and supportive environment (5 days a week).
- Colleagues from Meta, Google, LinkedIn, and startup veterans.
- Competitive compensation.
- Flexible working hours.
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