Senior AI Python Engineer

Summary

Join Nearsure's close-knit LATAM remote team and pioneer AI solutions to transform software development. As a Senior AI Python Engineer, you will build AI-powered tools to enhance the SDLC, develop internal assistants, automate tasks, investigate GenAI solutions, and design and deploy AI-driven solutions. You will collaborate with various teams, share findings, and contribute to improving developer workflows and productivity. Nearsure offers a competitive USD salary, 100% remote work, paid time off, national holidays, sick leave, a refundable annual credit, team-building activities, and a birthday day off. The company values autonomy, open communication, and diversity, and provides support through its People Care team. This role requires a Bachelor's degree, extensive experience with Python, cloud environments, scripting languages, containerization, and AI tools, along with strong problem-solving and communication skills.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5+ Years of experience working with the Python programming language, with the ability to work across AI, infrastructure, and tooling codebases
• 3+ Years of experience working in cloud environments (AWS or GCP)
• 2+ Years of experience working with scripting languages (e.g., Bash, Go)
• 1+ Years of experience working with containerization (Docker) and orchestration (Kubernetes), and with CI/CD systems and infrastructure automation tools (e.g., Terraform, Ansible)
• 1+ Years of practical, hands-on experience with code-generation tools such as Codex, StarCoder, Claude, or GPT family
• Solid understanding of the full Software Development Lifecycle (planning, coding, testing, releasing, monitoring)
• Practical, hands-on experience with large language models (LLMs)
• Experience prototyping, benchmarking, and deploying AI solutions to improve developer workflows
• Strong understanding of software development automation and developer productivity enhancement techniques
• Familiarity with prompt engineering and retrieval-augmented generation (RAG) pipelines
• Ability to explain complex AI solutions and technical concepts to cross-functional and non-technical teams
• Research-driven mindset with curiosity for testing new AI ideas, tools, and approaches
• Strong problem-solving skills focused on identifying inefficiencies and applying AI to increase delivery velocity
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• Build AI-powered tools to enhance each stage of the SDLC: from code generation and code reviews to testing, documentation, and deployment
• Develop internal assistants and copilots to reduce cognitive load and empower developers to move faster with fewer manual steps
• Automate repetitive development and operational tasks (e.g., writing IaC, generating release notes, updating documentation)
• Investigate GenAI solutions (e.g., GitHub Copilot, CodeLlama, GPT-Engineer) to improve CI/CD workflows and eliminate friction in delivery pipelines
• Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and enhance reliability
• Explore custom model fine-tuning and retrieval-augmented generation (RAG) approaches when needed
• Prototype features like AI-driven deployment optimizations, cost-aware autoscaling, or predictive incident resolution
• Embed AI into DevOps processes to identify bottlenecks, automate root cause analysis, and surface continuous delivery insights
• Collaborate with SRE and developer experience teams to evolve our Internal Developer Platform (IDP) with intelligent automation
• Partner with engineering, DevOps, and product teams to identify key pain points and deliver impactful AI interventions
• Share findings through workshops, whitepapers, and internal demos to scale learnings across the organization

Benefits

• Competitive USD salary
• 100% remote work
• Paid time off
• National Holidays celebrated
• Sick leave
• Refundable Annual Credit
• Team-building activities
• Birthday day off