Junior AI Solutions Developer
New
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SourcefitSoftware Development AI
Work from home, Monday to Friday | 9 AM to 6 PMFull-TimeJunior
Salary not disclosed
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Job Details
- Required Skills
- PythonCloud ComputingMachine LearningPyTorchTensorflowRESTful APIsNLPComputer Vision
Requirements
- Bachelor’s degree in computer science, Engineering, or a related field.
- Strong knowledge of AI technologies, including machine learning, natural language processing, and computer vision.
- Proficiency in Python programming language
- Working knowledge of at least one LLM API: Anthropic Claude, OpenAI, or equivalent
- Understanding of REST API development and structured JSON output handling
- Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or Keras.
- Experience with cloud computing platforms, such as AWS, Google Cloud, or Microsoft Azure.
- Awareness of OWASP LLM Top 10 compliance
- Basic understanding of OWASP secure coding principles
- Ability to read requirement specs and translate them into working code under supervision
- Exceptional problem-solving and analytical skills
- Excellent communication and interpersonal skills
Responsibilities
- Develop and implement AI-powered solutions within our web application, ensuring seamless integration and high-quality performance.
- Follow OWASP LLM Top 10 (2025) mitigations on every AI feature built
- Run cost-per-request benchmarks before implementation and document model selection rationale
- Collaborate with cross-functional teams to gather requirements and propose AI-based solutions that address business needs and drive innovation.
- Design and develop custom APIs to facilitate data exchange and communication between AI components and existing systems.
- Stay abreast of emerging AI technologies and industry trends to identify opportunities for enhancing the organization's AI capabilities.
- Evaluate the effectiveness of AI solutions, continuously refining and optimizing them to ensure optimal performance.
- Develop comprehensive documentation for AI solutions, including technical specifications for AI features, LLM APIs, ML Libraries, vector stores, etc.
- Serve as an AI evangelist, promoting the understanding and adoption of AI technologies across the organization through presentations, workshops, and training sessions.
- Provide technical support and troubleshooting for AI implementations, ensuring the prompt resolution of issues and minimal disruption to users.
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