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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 deploying AI-powered applications, with a strong focus on Generative AI, Large Language Models, and Machine Learning. Proficient in integrating AI capabilities into existing systems while adhering to responsible AI practices.
Highest-signal resume keywords
Python ProgrammingGenerative AI Application DevelopmentLarge Language Models (LLMs)API IntegrationCloud Platforms (AWS, Azure, Google Cloud)
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 EngineeringMachine LearningData SciencePrompt EngineeringRAGEmbeddingsVector DatabasesAI AgentsCI/CDGit
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsIndependence
Tools & Technologies
LangChainLlamaIndexHugging FaceOpenAIAnthropicGoogle Gemini
Industry Keywords
AI SolutionsIntelligent AutomationPrototypesProofs of Concept (POCs)Responsible AI Practices
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Design, develop, and deploy AI-powered applications and solutions
- Build solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning
- Develop and integrate AI agents, APIs, and intelligent automation workflows
- Build solutions using RAG, embeddings, vector databases, and prompt engineering
- Integrate AI models and services from OpenAI, Anthropic, Google, AWS, Azure, or similar providers
- Develop prototypes and Proofs of Concept (POCs) and transform successful experiments into production-ready solutions
- Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost
- Collaborate with Engineering, Product, and business stakeholders to identify AI opportunities
- Integrate AI capabilities into existing applications, platforms, and workflows
- Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems
- Stay current with emerging AI technologies, frameworks, tools, and industry best practices
- Share knowledge and contribute to AI capabilities and best practices across the organization
Requirements
What you’ll need- Strong programming skills, preferably in Python
- Professional experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
- Hands-on experience building applications using Generative AI and Large Language Models (LLMs)
- Experience integrating APIs and developing backend services
- Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents
- Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies
- Experience with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Understanding of Git, APIs, CI/CD, and modern software development practices
- Strong analytical and problem-solving skills
- Ability to work independently in a fully remote environment
- Strong communication and collaboration skills
- Intermediate to advanced English level
Benefits
Comp & perks- Work from anywhere with true flexibility and freedom
- Earn in USD with compensation that matches your expertise
- Dedicated paid time off
- Fully covered international certifications
- Access coworking spaces worldwide
- English development support
- International team activities
- Personalized gifts and a thoughtful welcome kit
- Referral program with earning opportunities