Senior Python Developer/ Data Engineering

Overview

This role is for Weekday's client.

Requirements:
Primary Responsibilities:

• Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes/OpenShift to develop modern containerized workloads.
• Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
• Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
• Participate in all team’s Agile/ Scrum ceremonies.

• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in developing, managing, and deploying Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, and performance profiling in at least one prominent programming language, preferably Python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools, including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
• Understanding deep learning and Machine Learning frameworks such as TensorFlow or PyTorch.
• Understanding of Information Security and secure coding practices.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.
• Excellent communication skills.

• Good knowledge of Microservice-based architecture and industry standards, for both public and private cloud.
• Good understanding of modern Application configuration techniques.
• Hands-on experience with Cloud Application Deployment patterns like Blue/Green.
• Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
• Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
• Experience building AI applications, preferably Generative AI and LLM based apps.
• Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
• Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of ModelOps/ ML Ops/ LLM Op.
• Understanding of SRE techniques.

• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
• 5 years of experience in software engineering, design, and development