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🏢 Company: JobLeads👥 51-100💰 Seed almost 14 years agoEmploymentHuman ResourcesCareer PlanningRecruiting
- 6–12 months of hands-on experience implementing AI solutions in a commercial environment
- Proficiency with AI-assisted development tools like GitHub Copilot, Cursor IDE, or similar
- Strong prompting skills and ability to iterate effectively with LLMs
- Solid coding foundation in Python or JavaScript
- Experience integrating AI features into production systems
- Experience designing and implementing more complex AI workflows using orchestration frameworks like LangChain, LlamaIndex and Hugging Face
- Working knowledge of version control, testing strategies, and AI deployment practices
- Proven collaboration skills with product teams to translate business needs into AI solutions
- Experience benchmarking AI models for performance and cost
- Collaborate with product and engineering teams to solve business challenges using AI
- Design and implement scalable AI features using appropriate models, frameworks, and tools
- Lead technical implementation of AI components including prompt engineering, context handling, and model selection
- Develop reliable integration layers between AI models and production systems
- Contribute to AI infrastructure (PromptOps/AIOps) with focus on scalability, cost-efficiency, and performance
- Evaluate and benchmark models to ensure optimal performance for each use case
- Stay up to date on emerging technologies and techniques to inform product strategy
AWSDockerPythonSQLArtificial IntelligenceCloud ComputingGCPGitKubernetesMachine LearningAlgorithmsAPI testingAzureData StructuresREST APICollaborationCI/CDRESTful APIsDevOpsMicroservicesData modeling
Posted 8 days ago
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