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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing production software services and APIs, with a strong foundation in AI/ML concepts and software development practices. Proficient in programming languages such as Python, JavaScript, or TypeScript, and skilled in collaborating within teams to enhance software capabilities.
Highest-signal resume keywords
AI/ML IntegrationProduction Software DevelopmentREST API UnderstandingVersion Control (Git)Automated Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Development PracticesData StructuresAlgorithmsComplexityModel TrainingModel InferencePrompt EngineeringEvaluation of AI OutputsAutomated TestingTechnical Documentation
Soft Skills
Collaborative MindsetStrong Communication Skills
Tools & Technologies
GitCI/CD Pipelines
Industry Keywords
AI SystemsLLM-based FeaturesRetrieval-Augmented GenerationCode ReviewsPair Programming
Tech Stack
Tools & technologiesJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Design, develop, test, and maintain production software services and APIs
- Integrate AI/ML capabilities into enterprise software, including LLM-based features and RAG (Retrieval-Augmented Generation) pipelines
- Build agentic AI systems at a high level, designing tool-calling workflows, orchestrating multi-step autonomous tasks, and connecting models to internal services and data sources
- Work with model APIs, prompt engineering, and evaluation of AI outputs
- Contribute to code through pair programming and code reviews
- Write automated tests (unit, integration) and technical documentation
- Collaborate using version control (Git) and CI/CD pipelines
- Participate in team discussions, architecture decisions, and contribute ideas
Requirements
What you’ll need- Degree or Studying in Computer Science, Engineering, or related field (or equivalent practical experience)
- Fluent English (written and verbal)
- Solid foundation in:
- - Computer Science fundamentals (data structures, algorithms, complexity)
- - Software development practices (version control, testing, code review)
- - AI/ML concepts (model training/inference, prompting, evaluation)
- Proficiency in at least one programming language (Python, JavaScript, or TypeScript advisable)
- Understanding of REST APIs and working with third-party services
- Collaborative mindset and strong communication skills
Benefits
Comp & perks- Professional development
- Flexible work arrangements
