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Encora via Greenhouse

Senior Software Engineer

Brazil senior
still open verified 3h ago posted 4h ago seen 2h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 4h ago

The date the source published, not the day we noticed it (2026-10-13). Last seen at its source 2h ago.

Is it remote?

The listing says yes

The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.

Who may apply?

Brazil

The description agrees: it names Brazil.

What the ad says
…Location: Brazil Mode: Remote Experienced Senior Software Engineer to…

Pay not stated

Similar roles pay $93.8k–157.1k/yr

Middle 50% of 16 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AzureCI/CDDockerFastAPIGitLLMLinuxPrompt EngineeringPythonRAGReactTest AutomationTroubleshootingTypeScriptUX

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Job Title: Senior Software Engineer

Key Skills: Python, Microsoft Azure, Azure OpenAI, LLMs, RAG, Docker

Location: Brazil

Mode: Remote

Experienced Senior Software Engineer to design, develop, and maintain scalable AI-powered services and cloud-native solution. The ideal candidate will possess strong expertise in Python development, Azure cloud services, containerized application architectures, large language model (LLM) integrations, and modern AI concepts such as Retrieval-Augmented Generation (RAG), vector search, and prompt engineering. 



Key Responsibilities

  • Design, develop, and maintain scalable backend services and APIs using Python and FastAPI.
  • Build and deploy cloud-native applications leveraging Microsoft Azure services and Azure AI capabilities.
  • Develop and optimize AI-powered solutions using Large Language Models (LLMs), including GPT-family models and Microsoft Copilot integrations.
  • Implement Retrieval-Augmented Generation (RAG) architectures, vector databases, semantic search, indexing strategies, and reranking techniques.
  • Engineer and optimize prompts and AI orchestration workflows to improve model accuracy and user experience.
  • Develop, deploy, and manage containerized applications using Docker and container technologies.
  • Create and maintain CI/CD pipelines, source control workflows, and deployment processes using Git-based development practices.
  • Work within Linux-based environments, virtual machines, and containerized infrastructures.
  • Design and implement data storage solutions utilizing NoSQL databases and modern data access patterns.
  • Integrate Optical Character Recognition (OCR) technologies for document ingestion and information extraction.
  • Write comprehensive unit tests and contribute to quality assurance efforts to ensure reliability, maintainability, and scalability.
  • Collaborate with cross-functional teams to define technical requirements, architecture decisions, and implementation strategies.
  • Stay current with emerging AI technologies, cloud services, and software engineering best practices.

 

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Strong proficiency in Python and object-oriented software development.
  • Hands-on experience with Microsoft Azure services and cloud-native application development.
  • Experience working with Docker, containers, and containerized deployment models.
  • Practical experience integrating and utilizing Large Language Models (LLMs), including GPT-family models.
  • Knowledge of AI development tools such as Microsoft Copilot, GitHub Copilot, and familiarity with alternative AI platforms such as Google Gemini and Anthropic Claude.
  • Solid understanding of:
    • Retrieval-Augmented Generation (RAG)
    • Vector databases and embeddings
    • Semantic search and indexing
    • Prompt engineering
    • Reranking strategies
  • Experience using Git and collaborative version control workflows.
  • Strong Linux administration and troubleshooting skills.
  • Experience working with NoSQL databases.
  • Familiarity with OCR technologies and information extraction workflows.
  • Experience implementing automated testing and unit testing frameworks.
  • Strong problem-solving and communication skills.

 

Preferred Skills

  • Knowledge of React and TypeScript for full-stack application development.
  • Experience designing AI-powered document intelligence solutions.
  • Hands-on experience processing and transforming Microsoft Office and document formats, including:DOCX,PPTX,PDF.
  • Experience extracting, restructuring, classifying, and enriching information from unstructured documents.
  • Familiarity with document parsing frameworks, content extraction pipelines, and metadata enrichment processes.
  • Experience with vector databases such as Azure AI Search or similar technologies.
  • Experience deploying AI workloads in production environments.

 

Posted On: 9-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Apply at job-boards.greenhouse.io