AI Python Engineer

AI Python Engineer - Work from home role at Nearsure

Join our close-knit LATAM remote team: connect through activities like coffee breaks, tech talks, and games with your team and management. We champion autonomy, open communication, and respect for diversity as our core values. Our People Care team supports you from day one with everything from time-off requests to wellness check-ins. Our Accounts Management team ensures smooth client relationships so you can focus on what you do best.

Ready to grow with us?

Here's what we offer you by joining us

• Competitive USD salary – We value your skills and contributions
• 100% remote work – You're always welcome to connect with teammates and grow your network at our coworking spaces across LATAM.
• Paid time off – Take the time you need according to your country's regulations, with full salary.
• National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones.
• Sick leave – Focus on your health without the stress.
• Refundable Annual Credit – Spend it on perks to enhance your work-life balance.
• Team-building activities – Coffee breaks, tech talks, and after-work gatherings to bond with the Nearsure family.
• Birthday day off – Extra day off during your birthday week.

As a Senior AI Python Engineer , you will pioneer AI solutions to transform how we build and ship software, boosting developer productivity, accelerating delivery cycles, and scaling our platform capabilities. You will work at the intersection of research and engineering, embedding AI into the Software Development Lifecycle (SDLC) to help our teams ship faster, more reliably, and with greater autonomy.

• 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 family) to improve CI/CD workflows and reduce delivery friction.
• Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and improve 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.

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ years of experience with Python, across AI, infrastructure, and tooling codebases.
• 3+ years of experience in cloud environments (AWS or GCP).
• 2+ years of experience with scripting languages (e.g., Bash, Go).
• 1+ year of experience with containerization (Docker) and orchestration (Kubernetes), and with CI/CD systems and infrastructure automation tools (e.g., Terraform, Ansible).
• 1+ year 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.

• 1. Let's chat about your experience
• 2. Impress our recruiters, and you'll move on to a technical interview with our top developers.
• 3. Nail that, and you'll meet our client — your final step to joining our amazing team

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