Python Developer

About Us

We are emergence.ai, advancing Autonomous Multi-Agent Orchestration for Enterprise. Our

mission is to empower organizations with cutting-edge AI-driven ecosystems that streamline

complex tasks and reduce operational overhead.

Role Overview

We are looking for a seasoned Senior Python Developer with extensive experience in production-scale software development. In this role, you will design and build robust frameworks and systems for our Benchmarking Team, with hands-on involvement in data science and data engineering processes. You’ll leverage AI tools to accelerate development velocity, ensuring that projects move seamlessly from concept to production.

Key Responsibilities

• System Architecture & Development: Architect, develop, and optimize Python-based

applications, frameworks, and libraries to support large-scale benchmarking and high performance data processing.

• End-to-End Ownership: Drive the entire project lifecycle—from design and

implementation to deployment, testing, and ongoing maintenance.

• Active Data Science & Engineering Involvement: Contribute to data science modeling

and data pipeline creation (ETL, Big Data, etc.), ensuring optimal integration and top-notch performance.

• AI Tools & Automation: Leverage AI-driven developer tools and automation frameworks to

streamline coding, testing, and deployment, enabling faster iteration and enhanced productivity.

• Benchmarking Solutions: Build cutting-edge benchmarking tools, develop performance

metrics, and set up test frameworks to measure system efficiency and reliability.

• Best Practices & Code Quality: Champion coding standards, code reviews, and automated testing to maintain high-quality, maintainable code.

• Documentation & Reporting: Produce clear, concise documentation for both technical

and non-technical stakeholders, detailing system architecture, benchmark results, and best practices.

Qualifications:

• Experience: Minimum of 8 years of professional experience in Python development,

emphasizing large-scale, production-ready systems.

• Technical Expertise:

o Advanced Python skills, including a deep understanding of its libraries (e.g., NumPy,

Pandas, Flask/FastAPI).

o Strong software design and architecture know-how (microservices, serverless, etc.).

o Proficiency in performance tuning, algorithms, data structures, and CI/CD pipelines.

• Data Science & Engineering Exposure:

o Hands-on experience or solid familiarity with data engineering workflows, big data

ecosystems (e.g., Spark, Hadoop), and data warehousing.

o Understanding of data science tools and frameworks (e.g., Jupyter, scikit-learn,

PyTorch) and their practical implementation.

• Teamwork & Communication: Demonstrated ability to communicate complex technical

ideas, adapt in a fast-paced setting, and drive collaborative success.

• Education: Bachelor's degree or higher in computer science, Software Engineering, or

related field. Equivalent work experience is also welcomed.

Preferred Skills

• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).

• Familiarity with Agile or Scrum processes.

• Background in DevOps tools and pipelines.