FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong Python development skills and solid software engineering fundamentals, with hands-on experience in Generative AI and LLM-based application development. Proficient in building RAG solutions, integrating AI applications with APIs and cloud services, and implementing evaluation and monitoring capabilities.
Highest-signal resume keywords
Python DevelopmentGenerative AI Application DevelopmentRAG SolutionsAI Framework ProficiencyCI/CD and 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
PythonSoftware Engineering FundamentalsGenerative AILLM Application DevelopmentRAG SolutionsAPI IntegrationCloud Services IntegrationAutomated TestingVersion ControlObservability
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
LangGraphLangChainOpenAI Agents SDKDockerDatadogOpenTelemetryLangSmithAWS BedrockAzure OpenAIGoogle Gemini
Industry Keywords
AI AgentsMulti-Agent WorkflowsKnowledge RetrievalEmbeddingsGraphRAGAgentic SDLCWorkflow OrchestrationHuman-in-the-LoopEvaluation and MonitoringAsynchronous Processing
Tech Stack
Tools & technologiesAWSAzureCloudDockerPythonSDLC
About the role
Key responsibilities & impact- Develop and evolve Generative AI and agentic applications
- Build RAG-based solutions and enterprise knowledge retrieval components
- Implement AI agents that interact with tools, APIs, databases, and enterprise systems
- Work with orchestration patterns such as multi-step workflows, tool use, and Human-in-the-Loop
- Integrate LLM providers and cloud AI services
- Design maintainable and testable components following good software engineering practices
- Implement and maintain evaluation, observability, guardrails, and monitoring capabilities
- Write automated tests and contribute to CI/CD pipelines
- Troubleshoot and improve AI applications in production with support from senior team members
- Collaborate with engineers, architects, product teams, and business stakeholders
- Work closely with senior engineers, architects, and product teams to build and evolve AI solutions from experimentation to production
Requirements
What you’ll need- Strong Python development skills and solid software engineering fundamentals
- Good understanding of software design principles, including modularity, separation of concerns, testability, maintainability, and clean interfaces
- Familiarity with common architectural patterns for APIs, services, asynchronous processing, and distributed applications
- Hands-on knowledge of Generative AI and LLM-based application development
- Ability to build RAG solutions and/or agentic workflows
- Familiarity with tool use, function calling, and workflow orchestration patterns
- Proficiency with at least one AI framework or SDK such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, Strands, or similar
- Practical knowledge of at least one major LLM provider, such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar
- Good understanding of embeddings, vector search, and knowledge retrieval concepts
- Familiarity with AI evaluation, observability, guardrails, and production monitoring
- Ability to integrate AI applications with APIs, databases, and cloud services
- Working knowledge of Docker, CI/CD, automated testing, and version control
- English proficiency for daily collaboration with international teams
- Exposure to multi-agent or long-running agent workflows
- Knowledge of Agentic SDLC or developer tooling integrations
- Familiarity with knowledge graphs or GraphRAG
- Hands-on knowledge of Datadog LLM Observability, LangSmith, OpenTelemetry, or similar platforms
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Inclusion support and accommodations during the selection process
- Dedicated Health and Well-being team, inclusion specialists, and affinity groups