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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing Generative AI solutions and Large Language Models, with strong capabilities in backend application development using Python and REST API integration. Proficient in optimizing business processes through AI technologies and integrating solutions into enterprise platforms.
Highest-signal resume keywords
Python DevelopmentREST API IntegrationGenerative AI SolutionsRAG Solutions DevelopmentCloud Platforms (Azure, AWS)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentLarge Language Models (LLMs)EmbeddingsVector DatabasesAI Agents DevelopmentPrompt EngineeringMicroservices ArchitecturesDistributed SystemsEnterprise Process AutomationSystems Integration
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsTeamwork SkillsAdaptability
Tools & Technologies
OpenAIAzure OpenAIAnthropicSAP Cloud for Customer (C4C)GenAI Frameworks (LangChain, LangGraph, LlamaIndex)
Industry Keywords
Artificial IntelligenceCRM PlatformsEnterprise EnvironmentsBusiness Process OptimizationTechnical Collaboration
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsMicroservicesPython
About the role
Key responsibilities & impact- Develop and implement solutions based on Generative AI and Large Language Models (LLMs).
- Design and develop backend applications and services using Python.
- Build and integrate REST APIs to enable communication between different systems and applications.
- Implement Retrieval-Augmented Generation (RAG) solutions, embeddings, and vector databases.
- Develop and integrate AI Agents and intelligent automation solutions.
- Collaborate with technical and business teams to identify requirements and implement solutions.
- Contribute to the integration of AI solutions into enterprise platforms and CRM systems.
- Support the optimization and automation of business processes through Artificial Intelligence technologies.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Professional experience in software development, preferably backend development.
- Strong experience with Python and REST API development/integration.
- Hands-on experience with LLMs and Generative AI, using technologies such as OpenAI, Azure OpenAI, Anthropic, or equivalent.
- Practical experience developing RAG solutions and AI Agents.
- Knowledge of embeddings, vector databases, and Prompt Engineering.
- Previous experience with SAP Cloud for Customer (C4C) (big plus)
- Experience integrating different systems, applications, and services.
- Strong analytical and problem-solving skills, with the ability to work independently.
- Good communication and teamwork skills.
- Ability to quickly learn and adapt to new technologies and business environments.
- Experience with systems integration projects in enterprise environments.
- Experience with Cloud platforms, particularly Azure or AWS.
- Knowledge of microservices architectures and distributed systems.
- Experience with GenAI frameworks such as LangChain, LangGraph, or LlamaIndex.
- Knowledge of SAP C4C.
- Experience with CRM platforms and related business processes.
- Previous involvement in enterprise process automation projects.
Benefits
Comp & perks- Technical guidance and continuous mentorship
- Participation in real-world projects
- Collaborative environment with a focus on professional growth
- Opportunity for career progression
- Hybrid work model: Porto office (3 days per week working from home)
