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Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead the design, development, and integration of AI-powered features
- Architect scalable, cloud-native solutions on GCP and AWS
- Actively leverage AI coding assistants, LLMs, and prompt engineering techniques
- Drive responsible AI practices across the team
- Collaborate with product management, data science stakeholders, and QA
- Define and enforce software engineering standards within a CI/CD environment
- Lead code reviews, architecture discussions, and technical planning sessions
- Mentor junior and mid-level engineers
- Stay current on emerging AI frameworks and capabilities
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Software Engineering, AI, or a related field
- 5+ years of professional software engineering experience
- Proficiency in Python
- Hands-on experience applying AI/ML frameworks and services (e.g., TensorFlow, PyTorch, LangChain)
- Hands-on experience with GCP and/or AWS
- Demonstrated ability to write effective prompts and use LLMs
- Solid understanding of the software development lifecycle, agile methodologies, and CI/CD pipelines
- Experience with automated testing, deployment planning, and operating production software systems
- Strong communication, leadership, and cross-functional collaboration skills.
Benefits
Comp & perks- Health insurance
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI/ML FrameworksTensorFlowPyTorchLangChainGCPAWSSoftware Development LifecycleAutomated TestingDeployment Planning
Soft Skills
Strong CommunicationLeadershipCross-Functional Collaboration
Certifications
Bachelor's Degree in Computer ScienceMaster's Degree in Software EngineeringMaster's Degree in AI
