
Fast API-based services
2 weeks ago
Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,” They enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.
In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like Open AI, Google, Anthropic, and Meta.
Job Description:
Job Title: Fast API-based services
Location: Pan India
Experience: 3+ yrs.
Employment Type: Contract to hire
Work Mode: Remote
Notice Period: - Immediate joiner
Requirements:
- Design, build, and maintain Fast API-based services for experimentation workflows and simulation environments.
- Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
- Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability.
- Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.
Requirements
- 3+ years of professional Python development experience.
- Strong knowledge of Fast API (or equivalent frameworks like Flask, Django, but Fast API required).
- Experience with REST APIs, async programming, and API lifecycle management.
- Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
- Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus.
- Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
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