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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 maintaining AI agents using LangChain and LangGraph, with a strong focus on integrating LLMs and embedding models through AWS services. Proficient in backend development, API integrations, and implementing observability and security practices in compliance with regulatory standards.
Highest-signal resume keywords
Python Software DevelopmentLangChain Application DevelopmentAWS Services DeploymentRAG Pipeline DevelopmentAPI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonLangChainLangGraphAmazon BedrockAmazon OpenSearch ServiceREST APIsAsynchronous ProgrammingCI/CDDockerJira
Soft Skills
Clear CommunicationTeam CollaborationProblem Solving
Tools & Technologies
Amazon S3EC2EKSFastAPICloudWatchLangSmithLangfuse
Certifications & Qualifications
AWS Certifications
Industry Keywords
AI AgentsLLM ApplicationsCybersecurityLGPD ComplianceAgile Methodology
Tech Stack
Tools & technologiesAWSCloudDockerEC2ERPJavaJavaScriptNext.jsPythonReactTypeScript
About the role
Key responsibilities & impact- Develop, enhance, and maintain AI agents using LangChain and LangGraph, including state and workflows, tool calling, memory, human-in-the-loop, and multi-agent architectures.
- Integrate LLMs and embedding models through Amazon Bedrock, selecting models and strategies based on quality, latency, and cost.
- Build RAG pipelines with document ingestion and chunking, embeddings, indexing, and search using Amazon OpenSearch Service, Amazon S3 Vectors, Amazon Bedrock Knowledge Bases, and self-hosted vector databases on EC2/EKS.
- Develop APIs and services that expose agents and connect them to the Omie ERP, databases, and legacy systems.
- Deploy and operate solutions on AWS, including Lambda, Step Functions, EC2, EKS, and S3, using infrastructure as code and CI/CD.
- Create evaluations and implement observability, including test datasets, quality metrics, tracing, and production monitoring of cost and latency.
- Apply guardrails and security and responsible AI practices, including prompt injection mitigation, tool and data access controls, and personal data protection in compliance with Brazil’s LGPD.
- Work with AI Tech Leads, Data Scientists, product teams, and business stakeholders to understand problems and propose solutions, including PoCs and technical demonstrations.
- Follow cybersecurity measures and best practices to protect AI agent data and systems.
- Document architecture, workflows, and technical decisions, including diagrams, ADRs, and READMEs.
- Join Omie, a software company that simplifies management and drives the growth of Brazilian entrepreneurial businesses.
Requirements
What you’ll need- Strong experience in software development with Python, including typed and tested code, asynchronous programming, and sound engineering practices.
- Experience taking LLM applications to production, including agents built with LangChain and LangGraph, prompt and context engineering, and structured outputs.
- Understanding of the usage patterns and applicability of leading LLMs, such as those from OpenAI, Anthropic, and Google.
- Experience with RAG, including embeddings, chunking, hybrid search, re-ranking, and vector databases such as Amazon OpenSearch Service, Amazon S3 Vectors, or Chroma.
- Experience with Amazon Bedrock and AWS services for serverless or containerized applications, such as Lambda, API Gateway, S3, IAM, and CloudWatch.
- Experience with backend development and integrations, including REST APIs such as FastAPI, queues, databases, Docker, Git, and CI/CD.
- Experience with the quality and operation of LLM applications, including evals, observability tools such as LangSmith or Langfuse, cost, latency, and security.
- Clear communication with technical and business audiences, including in writing; ability to work effectively in multidisciplinary teams; and English proficiency for reading technical documentation.
- Experience developing applications using Jira in agile methodology projects such as Scrum or Kanban.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
- Nice to have: LLMOps, LiteLLM, MCP, fine-tuning, Google Vertex, self-hosted vector databases on EC2 or EKS, React, Next.js, Streamlit, Java, TypeScript, ERP/back-office systems, and AWS certifications or experience with AI on Google Cloud.
Benefits
Comp & perks- Dental Plan | Amil Dental
- Health Plan | Bradesco Saúde
- Mental Health Platform
- Telemedicine Platform
- Life Insurance | Prudential
- Pharmacy Benefit
- Gym Allowance
- Birthday Day Off
- Flexible Meal Voucher
- Home Office Allowance
- Childcare Assistance
- Transportation Voucher and Company Shuttle
- Discount Platform (Allya, SwileShop, and Dell)
- Educational Benefits
- Travel Benefits
- Pet Health Plan
- SESC
- Profit-Sharing and Results Program (PPRR)