Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.
Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.
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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
**.
Responsibilitie**
s:Design, build, and maintain scalable, high-performance backend services and infrastructure for Fetcherr's LLM ecosyste
**s.
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
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
n).
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
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
