
AI Python Engineer
2 semanas atrás
1 day ago Be among the first 25 applicants
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Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.
Say goodbye to micromanagement We champion autonomy, open communication, and respect for diversity as our core values.
️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.
Plus, our Accounts Management team ensures smooth, effective 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 – While you can work from anywhere, 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, all while receiving your full salary. Rest, recharge, and come back stronger
National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance
Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.
Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family
About the project:
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.
How your day-to-day work will look like
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.
This would make you the ideal candidate
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.
What to expect from our hiring process
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
At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team
We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.
Let’s work together to shape the future of technology
By applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy. (
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Software Development
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