Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

Fetcherr is looking for a highly skilled and experienced Senior Python Developer to spearhead the development of robust infrastructure and services that power our Large Language Model (LLM) initiatives. You will be instrumental in building the scalable, reliable, and efficient systems that enable our LLM engineers to develop, deploy, and manage cutting-edge AI applications. This role requires a deep understanding of Python, cloud technologies, and a passion for building foundational systems that support advanced AI. If you are a seasoned developer with a proven track record in backend development and infrastructure, and you're excited about enabling the future of AI at Fetcherr, we want to hear from you

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Responsibilitie

• s:Design, build, and maintain scalable, high-performance backend services and infrastructure for Fetcherr's LLM ecosyste
• m.Develop and manage APIs and microservices that facilitate the interaction between LLM models, data pipelines, and end-user application
• s.Implement and optimize data pipelines for ingesting, processing, and serving data relevant to LLM training and inferenc
• e.Ensure the reliability, security, and efficiency of LLM deployment environments through robust infrastructure managemen
• t.Collaborate with LLM Engineers and Data Scientists to understand their infrastructure needs and provide tailored solution
• s.Establish and maintain best practices for Python development, including coding standards, testing (unit, integration, E2E), reproducibility, and version control for infrastructure cod
• e.Leverage cloud platforms (e.g., GCP) to build and manage scalable infrastructure, including compute, storage, and networking resource
• s.Implement monitoring, logging, and alerting systems to ensure the health and performance of LLM services and infrastructur
• e.Contribute to the architectural decisions and strategic direction for Fetcherr's AI infrastructur
• e.Stay abreast of industry trends and best practices in Python development, cloud computing, and MLOp

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You'll be a great fit if you have

• ...5+ years of professional experience in backend software development, with a strong emphasis on Pyth
• on.Proven experience in building and managing production systems and scalable infrastructu
• re.Strong understanding of building applications that scale and operate reliably in a cloud environme
• nt.Expertise in designing and implementing APIs and microservic
• es.Solid experience with cloud platforms, particularly GCP (preferred), including services for compute, storage, networking, and managed databas
• es.Demonstrated experience with good coding practices for testing, reproducibility, and version control (e.g., Gi
• t).Familiarity with containerization technologies such as Docker and orchestration platforms like Kubernet
• es.Experience with CI/CD pipelines and tools for automated testing and deployme
• nt.Proficiency in database technologies (SQL and NoSQ
• L).Excellent problem-solving, analytical, and debugging skil
• ls.Strong communication and collaboration skills, with the ability to articulate technical concepts effective

ly.Nice to ha

• ve:Hands-on experience with MLOps practices and tools (e.g., Kubeflow, MLflow, TensorFlow Extende
• d).Experience with serving LLMs, including model optimization techniques and efficient inferen
• ce.Knowledge of LLM frameworks and libraries (e.g., LangChain, Transformer
• s).Experience with data streaming technologies (e.g., Kafka, Pub/Su
• b).Understanding of security best practices for cloud infrastructure and applicatio
• ns.Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormatio