Python Application Engineer

ReKnew Overview

We are ReKnew! Our mission is to help Enterprises revitalize their core business and organization by positioning themselves for the new world of AI. We believe that AI and data are not just a technological shift but a fundamental business transformation. We are a startup founded by practitioners with decades of experience in enterprise technology, data, analytics, AI, digital, and automation. We are surrounded by a world-class advisory board and are dedicated to building a company that values expertise, innovation, and direct impact.  

Description

Data, AI, and Agentic applications

Key Responsibilities

• Design, develop, and deploy

  high-performance, maintainable Python-based applications and microservices / APIs for our Data & AI/Agentic application suite.
• Work closely with data engineers, data scientists and AI engineers to

  productionize

  sophisticated applications and intelligent agent workflows.
• Implement robust

  data validation and serialization

  using frameworks like

  Pydantic

  to ensure data integrity across our systems.
• Build and maintain reliable

  Applications

  and

  REST APIs

  using the

  FastAPI

  framework, ensuring low-latency and high-throughput web server performance.
• Containerize and orchestrate services using

  Docker

  for consistent development, testing, and production environments.
• Implement professional-grade

  logging

  and monitoring to ensure operational visibility and fast troubleshooting.
• Develop

  database interaction layers

  using

  SQLAlchemy

  (ORM) for efficient and secure data persistence.
• Collaborate on architectural decisions, documentation, code reviews, and setting best practices for Python development. 
• Participate in demos, presentations and training others as needed 

Required Skills & Attributes for Success

3+ years of professional experience

• Modern Python

  and object-oriented programming best practices.

• Pydantic

  for data modelling, validation, and settings management.

• Web Servers & HTTP:

  Strong understanding of HTTP protocols, asynchronous programming, and building high-performance services with frameworks like

  FastAPI

  .

• API/Microservices Development:

  Proven track record building and documenting resilient

  REST

  ful APIs.

• Database ORM:

  Extensive experience with

  SQLAlchemy

  for efficient database operations and schema management.

• Containerization:

  Proficient in creating and managing applications using

  Docker

  .

• Observability:

  Implementing effective structured

  logging

  and basic monitoring strategies.

• Templating:

  Familiarity with templating engines like

  Jinja

  (or similar) for minimal front-end or internal tooling needs.

• Dev Tools:

  Expertise in managing source code in

  Git / GitHub

  , building code using

  VSCode

  and developing tests using

  PyTest

Preferred Skills

Experience in any of the following areas will be a significant advantage: 

• AI/Agentic Frameworks:

  Hands-on experience with modern Python-based AI orchestration and development tools like

  LangChain

  or

  LangGraph

  .

• Data Manipulation:

  Expertise in large-scale data wrangling and analysis using

  Pandas

  or

  Polars

  .

• Databases:

  Practical experience with relational database systems such as

  PostgreSQL

  or working with file-based systems like

  SQLite

  .

• NoSQL:

  Practical experience building AI-native data applications on

  vector databases

  or

  graph databases

  .

• Cloud/DevOps:

  Familiarity with CI/CD pipelines and deployment to major cloud platforms (AWS, GCP, or Azure).

• AI Coding Assistants:

  Hands-on experience developing Python applications aided by one of the AI assistants: GitHub Co-Pilot, Cursor, any major CLI, etc.

Salary Range:

What We Offer

Professional Growth

• Opportunity to lead cutting-edge AI transformation at global financial institution

• Access to latest AI development technologies and platforms

• Collaboration with industry-leading AI researchers and technology vendors

• Professional development budget for advanced AI/ML training and certification

Compensation & Benefits

• Competitive base salary with performance-based bonus structure

• Stock options and long-term incentive compensation

• Open to both full-time employees and experienced consultants/contractors

Work Environment

• Fast-paced, innovation-focused environment with strong investment in emerging technologies

• Collaborative culture with emphasis on continuous learning and professional development

• Global organization with opportunities for international exposure and career advancement

• Strong commitment to diversity, equity, inclusion, and employee well-being

If you're passionate about building intelligent data and AI applications that enable Enterprise-wide transformation, we’d love to hear from you. To be considered, we are looking for candidates with GitHub repositories and/or contributions to open-source projects in addition to relevant experience.