Python FullStack Developer

Mindlance; Richmond (VA); On-site; USD 96,432 - 103,320; Full time

Job summary

A technology solutions provider is seeking a Mid-Senior level Python Developer to design, maintain applications, and develop generative AI solutions. The ideal candidate will have extensive experience in Python, AWS, and AI technologies, along with strong collaboration skills. Join a dynamic team focusing on innovative projects in the financial services industry. This is a contract position located in Richmond, Virginia, with compensation ranging between $70.00/hr and $75.00/hr.

Qualifications

• Strong proficiency in Python programming, frameworks like Flask or Django.
• Hands-on experience with AWS services and GenAI tools.
• 10+ years of software development experience.

Responsibilities

• Design, develop, and maintain Python-based applications.
• Develop and fine-tune generative AI models.
• Deploy AI solutions on cloud platforms and monitor performance.
• Document AI models and provide L3 support.

Skills

Python programming

AWS services (Lambda, S3, EC2)

GenAI tools (OpenAI, Hugging Face)

DevOps tools (Docker, Kubernetes)

RESTful APIs

Debugging skills

Communication skills

Collaboration skills

Education

Bachelor's degree in Computer Science or related field

Job description

This range is provided by Mindlance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $75.00/hr

Duration: 12+ Months of Contract

Job Description:

• Python Development: Design, develop, and maintain Python-based applications and tools. Write clean, efficient, and reusable code while adhering to best practices. Integrate third‑party APIs and libraries as needed. Perform code reviews, testing, debugging, and optimization.
• Generative AI Development: Develop and fine‑tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face. Implement machine learning algorithms and deploy AI‑powered solutions for specific business requirements. Research and experiment with state‑of‑the‑art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers). Build custom AI models and pipelines to address domain‑specific challenges.
• Collaboration: Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions. Collaborate with UI/UX teams to integrate AI models into applications. Participate in Agile workflows, including daily stand‑ups, sprint planning, and retrospectives.
• Deployment & Maintenance: Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud. Monitor system performance and optimize scalability and reliability. Troubleshoot issues in production and implement fixes.
• Documentation: Create comprehensive documentation for AI models, tools, and code. Provide guidelines for users and teams for seamless integration and usage.
• L3 Support: Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure. Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution. Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
• Development and Automation: Develop, test, and deploy Python‑based scripts, applications, and workflows. Automate routine tasks and implement monitoring tools to ensure system reliability.
• AWS Cloud Management: Design, implement, and maintain cloud‑native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker, EMR, Redshift). Optimize AWS services for cost efficiency and performance.

Required Skills and Qualifications

• Technical Skills: Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django). Hands‑on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation). Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs). Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines. Familiarity with RESTful APIs and integration of AI/ML solutions. Strong debugging and problem‑solving skills in production environments.
• Soft Skills: Excellent communication and collaboration skills. Ability to work in a fast‑paced environment and manage competing priorities.
• Education & Experience: Bachelor’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
• Preferred Skills: Certification in AWS (e.g., AWS Certified Solutions Architect or Developer). Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

Financial Services, Banking, and Insurance