More jobs:
Developer V
Job in
Vienna, Fairfax County, Virginia, 22184, USA
Listed on 2026-01-06
Listing for:
Mindlance
Full Time
position Listed on 2026-01-06
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
Key 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 Tensor Flow, 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, Sage Maker, EMR, Redshift etc.).
- Optimize AWS services for cost efficiency and performance.
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, Cloud Formation).
- Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
- Knowledge of Dev Ops 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, with 5+ years in AWS and AI/ML technologies.
- Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
- Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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