Senior AI Python Developer

Senior AI Python Developer at Koombea

About Koombea:

Koombea is a leading international app development company with a proven track record of building successful applications. Founded in 2007, Koombea has a portfolio of hundreds of apps, some of which have been acquired by industry giants like Google and Facebook.

Job Description:

We are seeking a talented and experienced Senior AI Python Developer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining backend services and APIs using Python and frameworks like Flask and FastAPI. You will also play a key role in building and deploying ETL pipelines for data migration and transformation, leveraging your expertise in AWS services such as Lambda, S3, RDS, EC2, API Gateway, and VPC.

Responsibilities:

• Design, develop, and maintain scalable and secure RESTful APIs using Python and relevant frameworks.
• Build and deploy ETL pipelines for data migration and transformation, focusing on RDS to S3 data movement.
• Collaborate with the team to develop and implement AI/ML solutions using tools and services like Cursor, AWS Bedrock, and SageMaker.
• Participate in architecture discussions and contribute to DevOps, SOA, and microservices designs.
• Stay up-to-date with the latest advancements in AI/ML and cloud technologies.

Qualifications:

• 5+ years of experience developing backend services using Python.
• Strong understanding of AWS services, including DevOps, ETL, and architecture.
• Proven experience with Lambda, S3, RDS, EC2, AWS Glue, and VPC.
• Expertise in building and deploying ETL pipelines, particularly RDS to S3.
• Proficiency with API Gateway and RESTful service design.
• Experience with AI/ML and Data Science tools, ideally AWS SageMaker or similar.
• Familiarity with AI platforms like Cursor and AWS Bedrock.
• Excellent communication and collaboration skills.
• Fluent English (C1)

Benefits:

• Competitive salary
• Flexible working schedule
• Remote work opportunities
• Performance bonuses
• Surprise goodies and many cool benefits.

Qualifications

Required:

• Proven Expertise: 5+ years of experience developing robust backend services and APIs using Python.
• AWS Mastery: Deep understanding and hands-on experience with AWS services, including Lambda, S3, RDS, EC2, API Gateway, VPC, and Glue.
• ETL Proficiency: Demonstrated ability to design, build, and deploy ETL pipelines, particularly for data migration from RDS to S3.
• AI/ML Foundation: Experience working with AI/ML tools and platforms, preferably AWS SageMaker or similar. Familiarity with AI platforms like Cursor and AWS Bedrock is a plus.
• Architectural Vision: Strong understanding of architectural patterns, microservices, and serverless systems.
• Communication Skills: Fluent English (C1 level) for effective collaboration and communication.

Preferred:

• Experience with Flask and FastAPI frameworks.
• Familiarity with DevOps practices and CI/CD pipelines.
• Contributions to open-source projects.

Key Responsibilities

• Design and Develop AI Solutions: Conceptualize, design, and develop innovative AI-powered solutions leveraging machine learning algorithms and frameworks.
• Python Backend Development: Build robust and scalable backend services and APIs using Python and frameworks like Flask and FastAPI.
• Data Engineering: Design, implement, and maintain ETL pipelines for data ingestion, transformation, and loading into various data stores.
• Cloud Infrastructure Expertise: Utilize AWS services (Lambda, S3, RDS, EC2, API Gateway, VPC) to deploy, manage, and scale AI applications.
• AI Platform Integration: Integrate with AI platforms like Cursor and AWS Bedrock to leverage pre-trained models and accelerate development.
• Collaboration and Communication: Work effectively within a team of developers, data scientists, and product managers to deliver high-quality AI solutions.
• Continuous Improvement: Stay abreast of the latest advancements in AI and machine learning, and actively contribute to improving existing solutions.

Koombea Senior AI Python Developer Hiring Workflow

1. Application Review: AI-powered screening analyzes resumes for required skills and experience.

2. Technical Assessment: Candidates complete a coding challenge testing Python proficiency, AWS knowledge, and AI/ML fundamentals.

3. Interview Rounds:

• Initial Screening: HR conducts a brief phone interview to assess cultural fit and basic qualifications.
• Technical Interview: Senior developers evaluate technical skills through in-depth discussions on past projects and problem-solving scenarios.
• Culture Fit Interview: Team members engage in a conversation to ensure alignment with Koombea's values and work environment.

4. Final Decision: The hiring manager makes the final decision based on the candidate's performance throughout the process.

5. Offer & Onboarding: Successful candidates receive a competitive offer package and embark on a comprehensive onboarding program.

This streamlined workflow ensures a fair and efficient selection process, identifying the best talent for Koombea's innovative AI development team.

About Koombea

Koombea is a global app development company with a proven track record of success. Founded in 2007, Koombea has built hundreds of innovative applications, many of which have been acquired by industry giants like Google and Facebook.

Driven by a passion for technology and a commitment to excellence, Koombea fosters a collaborative and dynamic work environment. They believe in empowering their team with the latest tools and technologies, encouraging continuous learning and growth.

Koombea's dedication to delivering high-quality solutions has earned them a reputation as a trusted partner for businesses worldwide.