Website:
framexstudio.ai
Job details:
Full Stack Developer
Experience: 3–4 Years
About the Role
FrameX AI Studio is looking for a strong Full Stack Developer to help build production-grade, AI-powered video localization and media workflows.
You will work across the stack — from user-facing applications and backend APIs to AI model integrations and asynchronous media-processing workflows. We are looking for an engineer who can understand a product problem, make sound technical decisions, build the solution, and take ownership through production.
What You'll Do
- Translate business and product requirements into clean, scalable, reliable, and maintainable technical solutions.
- Own features end-to-end — from technical design and implementation through testing, code review, deployment, monitoring, and production support.
- Build and maintain frontend applications, backend services, APIs, and integrations supporting AI-powered media workflows.
- Integrate AI models, multimodal models, and third-party AI services into production applications.
- Build reliable asynchronous workflows involving APIs, webhooks, background jobs, queues, large media files, and external services.
- Design systems that appropriately handle failures, retries, timeouts, latency, observability, and scalability.
- Write high-quality, maintainable code with strong engineering judgment and sound software-development fundamentals.
- Use AI-assisted development tools effectively while retaining the ability to independently design, code, debug, review, explain, and own the solution.
- Follow strong engineering practices including testing, documentation, structured pull requests, code reviews, version-control discipline, CI/CD, observability, and continuous improvement.
- Collaborate closely with product, design, QA, AI/ML engineers, and other team members to clarify requirements, resolve ambiguity, and deliver high-quality customer-facing features.
Required Skills
- 3–4 years of professional full-stack software-development experience.
- Strong proficiency in Python, preferably with frameworks such as FastAPI.
- Strong experience with JavaScript/TypeScript and modern frontend frameworks such as React or Next.js.
- Experience designing, developing, and integrating REST APIs, webhooks, and third-party services.
- Experience with relational databases such as PostgreSQL or MySQL, including good data-modeling and query fundamentals.
- Hands-on experience with AWS or an equivalent cloud platform such as Google Cloud Platform (GCP) or Microsoft Azure.
- Experience with cloud storage and application services; familiarity with services such as Amazon S3 is valuable.
- Hands-on experience with Docker and containerized application development.
- Strong working knowledge of Git/GitHub, pull requests, code reviews, branching/version-control practices, and Continuous Integration/Continuous Deployment (CI/CD) workflows such as GitHub Actions.
- Understanding of asynchronous processing, background jobs, queues, caching, and scalable application architecture.
- Experience integrating AI models, Large Language Models (LLMs), multimodal models, or AI APIs into applications.
- Strong software-engineering fundamentals, debugging ability, testing practices, and problem-solving skills.
- Ability to take ownership, communicate clearly, work through ambiguity, and deliver features with limited supervision.
Preferred / Added Advantage
- Experience building audio, video, streaming, media-processing, localization, or content-creation platforms.
- Hands-on experience with FFmpeg, video/audio processing, codecs, transcoding, media metadata, or media-processing pipelines.
- Experience designing workflows for large media files, cloud object storage, uploads/downloads, and asynchronous processing.
- Experience integrating technologies involving speech, voice, translation, transcription, computer vision, video, or multimodal AI.
- Familiarity with AI/ML inference workflows, model serving, open-source AI models, or GPU-based workloads.
- Experience with Redis, message queues, task orchestration, or distributed processing.
- Familiarity with Kubernetes or other container-orchestration platforms.
- Understanding of production AI concerns such as latency, reliability, model/API failures, rate limits, inference cost, retries, and fallbacks.
- Experience working in a startup or fast-moving product environment where engineers take broad ownership and ship frequently.
What We Value
We are looking for engineers who can think, build, ship, and own.
You should be comfortable taking an ambiguous product requirement, breaking it into technical components, making sensible architectural decisions, writing production-quality code, debugging issues across the stack, and taking responsibility for successfully delivering the feature to users.
We embrace AI-assisted development, but AI tools do not replace engineering fundamentals. Engineers at FrameX should be able to understand and explain the systems they build, identify when generated solutions are incorrect, debug complex problems independently, and make sound engineering decisions.
Above all, we value ownership, strong fundamentals, curiosity, product thinking, execution speed, and commitment to building reliable products.
Click on Apply to know more.