[All remote jobs](https://jobicy.com/jobs.md)[![Nearform logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/27931a3f46b1-221.webp)](https://jobicy.com/company/nearform.md)[Nearform](https://jobicy.com/company/nearform.md) # Senior Software Engineer – Python & AI AI Summary Nearform is hiring a Senior Software Engineer to design and build Python applications with modern AI frameworks and agentic workflows. The role requires at least eight years of commercial engineering experience and strong capabilities in cloud environments, databases, Kubernetes, CI/CD, testing, and Git-based collaboration. The engineer will work with clients and distributed delivery teams to translate business needs into scalable, secure, high-performance solutions. This is a US-based, full-time permanent remote role that includes travel to client sites within the United States. The position emphasizes technical quality, agile delivery, client communication, and continuous learning in LLM and AI-native development practices.[Apply for this job](#job-application)[View company](https://jobicy.com/company/nearform.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 150k–180k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Nov 2026Apply before12 Dec 2026Listing views50Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. This is a full-time, permanent opportunity for candidates based in the United States and authorized to work without sponsorship. Please note that visa sponsorship is not available for this role. This position also requires traveling to client sites within the U.S., with travel expenses covered by the company. About [Nearform](https://jobicy.com/company/nearform.md) Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. About the Senior Python Engineer role As a Senior Engineer at Nearform your main task will be designing & building applications using Python. However as you’ll likely work on a variety of projects your responsibilities may also include: * Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team. * Assisting with defining structured practices, especially in source code management, building and deployment. * Designing and implementing data storage solutions. * Optimising performance in applications for maximum speed and scalability. * Getting feedback from users and clients, and building solutions for them. * Assisting with the analysis of client requirements. * Working with and supporting Technical Leaders in project execution and timely delivery. * Collaborating with client teams. What we are looking for in this person: * Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience. * Deep knowledge and experience with the Python language and modern AI frameworks. * Experience with AI-native development practices and tools. * Understanding of AI and agentic workflows, with a drive to stay at the forefront of emerging LLM technologies. * Practical experience of delivering in an agile environment. * Practical experience and knowledge of developing real-world solutions. * Deep understanding of versioning control tools – e.g. Git. * Testing experience and familiarity with testing tools at all levels, unit, integration and end-to-end testing. * Practical and real-world experience working with databases and cloud environments. * Experience in infraestructure working with Kubernetes (or similar platforms) * Experience with automation, CI and CD * Experience building software collaboratively using pull requests and code reviews * Excellent communication and collaboration skills. * Professional proficiency in English. Nice to have: * Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.) * Hands-on experience working with Golang * Hands-on experience in the Frontend working with React Benefits & Perks: * Annual Company Bonus – We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. * Work Remotely and Flexibly – We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters – school run, no problem! * Flexible Time Off Package – We offer a flexible annual leave policy plus public holidays. We also offer sick leave, marriage leave and many more. * Remote Working Allowance – Every 2 years, you will have a budget of up to €1250 (equivalent in USD) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. * Training and Development Allowance – Nearform is committed to supporting and investing in employees’ ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval. * Healthcare – It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. * 401k – We offer a 401k plan and match up to 4%, with no minimum entry requirements and immediate vesting of employers’ contributions. Our Interview Process * Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We’ll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. * Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You’ll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. * Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We’ll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project ### Ready to Join Us? If you’re passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help. Our salary range is $150,000 – 180,000 + bonus & benefits. Further details will be discussed in the initial interview, and final compensation will be determined based on skills, experience, and other job-related factors discussed during the interview process. As part of our recruitment process, we conduct manual and electronic identity verification checks to confirm the identity of prospective employees. Show more [Apply now >](https://jobicy.com/jobs/161663-senior-software-engineer-python-ai.md) * ![Upload CV](data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2NSIgaGVpZ2h0PSI2NSIgZmlsbD0ibm9uZSIgeG1sbnM6dj0iaHR0cHM6Ly92ZWN0YS5pby9uYW5vIj48ZyBjbGlwLXBhdGg9InVybCgjQSkiPjxwYXRoIGQ9Ik0wIDBINjVWNjVIMFYwWiIgZmlsbD0iIzAyOWFlYiIvPjxnIGZpbGw9IiNmZmYiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIj48cGF0aCBkPSJNMzMuMDQ5IDE1LjQ1NGExLjQzIDEuNDMgMCAwIDAtMi4wOTcgMGwtNy41NzkgOC4xNDdhMS4zOCAxLjM4IDAgMCAwIC4wOSAxLjk3MyAxLjQ0IDEuNDQgMCAwIDAgMi4wMDgtLjA4OGw1LjEwOS01LjQ5MnYyMC42MWExLjQxIDEuNDEgMCAwIDAgMS40MjEgMS4zOTdjLjc4NSAwIDEuNDIxLS42MjUgMS40MjEtMS4zOTd2LTIwLjYxbDUuMTA5IDUuNDkyYTEuNDQgMS40NCAwIDAgMCAyLjAwOC4wODggMS4zOCAxLjM4IDAgMCAwIC4wOS0xLjk3M2wtNy41NzktOC4xNDZ6TTE2Ljc2OSAzOC40YzAtLjc3My0uNjItMS40LTEuMzg1LTEuNFMxNCAzNy42MjcgMTQgMzguNHYuMTAybC4yMTUgNi4yMjljLjIyMyAxLjY4LjcwMSAzLjA5NSAxLjgxMyA0LjIxOHMyLjUxIDEuNjA3IDQuMTcyIDEuODMzYzEuNi4yMTggMy42MzYuMjE4IDYuMTYuMjE4aDExLjI4bDYuMTYtLjIxOGMxLjY2Mi0uMjI2IDMuMDYxLS43MDkgNC4xNzItMS44MzNzMS41ODktMi41MzggMS44MTMtNC4yMThDNTAgNDMuMTEzIDUwIDQxLjA1NSA1MCAzOC41MDNWMzguNGMwLS43NzMtLjYyLTEuNC0xLjM4NS0xLjRzLTEuMzg1LjYyNy0xLjM4NSAxLjRsLS4xOSA1Ljk1OGMtLjE4MiAxLjM3LS41MTUgMi4wOTUtMS4wMjYgMi42MTJzLTEuMjI4Ljg1My0yLjU4MyAxLjAzOGMtMS4zOTUuMTktMy4yNDMuMTkzLTUuODkzLjE5M0gyNi40NjJjLTIuNjUgMC00LjQ5OC0uMDAzLTUuODkzLS4xOTMtMS4zNTUtLjE4NC0yLjA3Mi0uNTIxLTIuNTgzLTEuMDM4cy0uODQ0LTEuMjQyLTEuMDI2LTIuNjEyYy0uMTg3LTEuNDEtLjE5MS0zLjI3OS0uMTkxLTUuOTU4eiIvPjwvZz48L2c+PGRlZnM+PGNsaXBQYXRoIGlkPSJBIj48cGF0aCBmaWxsPSIjZmZmIiBkPSJNMCAwaDY1djY1SDB6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior consulting-oriented engineering role requiring deep Python expertise, production AI experience, cloud and infrastructure knowledge, and delivery ownership. Client-facing work, varied projects, and evolving LLM technologies increase the technical and communication complexity. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$165,000US market range (per year)$150k–$190k0$209.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of USD 150,000 to USD 180,000 plus bonus and benefits. The annual cadence is inferred from the stated compensation level, US location, and full-time senior engineering context. The estimated US market range for a senior Python and AI engineer is USD 150,000 to USD 190,000 per year, depending on AI specialization, consulting exposure, cloud expertise, and location. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Artificial intelligence](https://jobicy.com/jobs?search_keywords=Artificial%20intelligence.md)[LLM applications](https://jobicy.com/jobs?search_keywords=LLM%20applications.md)[Agentic workflows](https://jobicy.com/jobs?search_keywords=Agentic%20workflows.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[Cloud computing](https://jobicy.com/jobs?search_keywords=Cloud%20computing.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Automated testing](https://jobicy.com/jobs?search_keywords=Automated%20testing.md)[Database design](https://jobicy.com/jobs?search_keywords=Database%20design.md)[Agile development](https://jobicy.com/jobs?search_keywords=Agile%20development.md)[Code review](https://jobicy.com/jobs?search_keywords=Code%20review.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md)[Client collaboration](https://jobicy.com/jobs?search_keywords=Client%20collaboration.md) Sample interview questionsHow would you design a production Python service that uses an LLM for a customer-facing workflow?I would begin by defining the user journey, quality criteria, latency targets, and failure modes. I would separate orchestration, prompt and model configuration, business logic, persistence, and observability; then add guardrails, structured outputs, retries, evaluation datasets, and human escalation for low-confidence cases. I would deploy the service with monitoring for cost, latency, errors, safety events, and output quality. Describe how you approach testing an AI-enabled application. I use layered testing: unit tests for deterministic business logic, integration tests for APIs and data stores, and end-to-end tests for critical user flows. For LLM behavior, I maintain representative evaluation datasets, use assertions on structured outputs and safety rules, and track quality metrics over time. I also test degraded conditions such as model timeouts, malformed responses, and unavailable downstream services. How do you improve the performance and scalability of a Python application? I first establish measurable baselines using profiling, tracing, and load testing. Typical improvements include optimizing database queries and indexes, introducing caching, reducing synchronous blocking work, using asynchronous or background processing where appropriate, and horizontally scaling stateless services. I validate every change against latency, throughput, error-rate, and cost targets. What is your approach to collaborating with a client when requirements are incomplete or changing? I clarify the business outcome, users, constraints, and acceptance criteria early, then document assumptions and break work into small demonstrable increments. I use regular feedback sessions and working prototypes to reduce ambiguity, communicate delivery risks promptly, and align technical decisions with the client’s priorities. This keeps the team adaptable without losing engineering quality. How have you used Kubernetes and CI/CD to improve software delivery? I have used containerized deployments with Kubernetes to provide consistent environments, controlled scaling, health checks, and safe rollbacks. In CI/CD, I automate linting, tests, security checks, image builds, and deployment promotion so that releases are repeatable and auditable. I also use deployment strategies such as canary or rolling releases alongside monitoring to minimize production risk. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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