GEN AI Engineer - Remote​/Telecommute

Job Title

GEN AI Engineer - Remote / Telecommute

Dallas, TX

Contract

The GEN AI Engineer will design, develop, and maintain AI-driven applications and scalable API solutions. This role focuses on integrating Large Language Models, building multi-agent systems, and ensuring secure, high-performance backend services. The ideal candidate will have strong experience in API development, machine learning, distributed systems, and cloud technologies.

• Proven experience in API development using FastAPI, Flask, or Django.
• Strong knowledge of Python and machine learning frameworks such as PyTorch.
• Strong understanding of NLP libraries such as spaCy.
• Expertise in API authentication including OAuth and API keys.
• Experience with API documentation tools such as Swagger.
• Experience with task queues such as Celery and multi-agent workflows.
• Hands‑on experience with relational and No
  
  SQL databases.
• Familiarity with caching technologies such as Redis and Memcached.
• Experience working with cloud platforms.

• Demonstrated experience developing and integrating scalable APIs.
• Experience integrating Large Language Models into production systems.
• Experience building distributed systems and multi-agent architectures.
• Experience implementing testing, logging, and monitoring solutions.

• Identify and define API integration points with clear documentation.
• Design, implement, and test API endpoints such as generation and status services.
• Auto-generate API documentation using modern frameworks.
• Implement rate limiting and authentication mechanisms.
• Develop prompting logic for Large Language Models to ensure accurate and reliable responses.
• Integrate machine learning frameworks and NLP libraries into applications.
• Design and implement multi-agent workflows using patterns such as actor model, publish‑subscribe, and client‑server.
• Build and coordinate multi-agent systems ensuring efficient task delegation, communication, and failure handling.
• Develop distributed task management solutions using orchestration tools.
• Write unit and integration tests.
• Set up logging and monitoring for system health and debugging.
• Integrate with relational, No
  
  SQL, and vector databases.
• Implement caching strategies to optimize performance.
• Ensure secure API access and data protection through proper authentication and validation mechanisms.

• Experience with vector databases and AI-powered search platforms.
• Knowledge of CI/CD pipelines and containerization technologies.
• Familiarity with API design tools and rate limiting frameworks.

• Strong Python programming skills.
• Strong understanding of API architecture and distributed systems.
• Knowledge of machine learning and NLP integration.
• Experience with database design and optimization.
• Understanding of caching strategies and performance tuning.
• Familiarity with cloud infrastructure and deployment models.
• Strong problem-solving and debugging skills.
• Knowledge of version control systems.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.