Python/GenAI Engineer

KMM Technologies•Reston, VA

4d•Hybrid

About The Position

We are seeking a Sr. Python GEN AI Developer for a 12+ month contract role in Reston, VA, requiring 3 days onsite. This position is for W2 employees only, and a second-round in-person interview is mandatory. The role involves designing, developing, and maintaining Python applications, with a strong focus on Generative AI development, including fine-tuning models and implementing AI-powered solutions. Collaboration with cross-functional teams, deployment on cloud platforms, and L3 support for GenAI solutions are key aspects of this position.

Requirements

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.
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment and manage competing priorities.
Bachelor's degree in Computer Science, Engineering, or a related field.
10+ years of experience in software development.
5+ years of experience in AWS and AI/ML technologies.

Nice To Haves

Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).

Responsibilities

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.
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.
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.
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.
Create comprehensive documentation for AI models, tools, and code.
Provide guidelines for users and teams for seamless integration and usage.
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.
Develop, test, and deploy Python-based scripts, applications, and workflows.
Automate routine tasks and implement monitoring tools to ensure system reliability.
Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker, EMR, Redshift etc.).
Optimize AWS services for cost efficiency and performance.