Senior Software Engineer
💰 $120,000 – $180,000/yrMarket estimate · not provided by the employer
At a glance
- Who can apply
- Brazil
- Work arrangement
- Remote · Brazil
- Employment type
- Full-time
- Seniority
- Senior
- Salary
- $120,000 – $180,000/yr · market estimate
Checked against the employer's source on October 15, 2026. Details come from the employer's posting; confirm them on the application page.
Job Description
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.
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