Junior AI Solutions Developer at Sourcefit

Summary:

We are seeking a highly motivated Jr. AI Solutions Developer to join our team. You will play a crucial role in integrating AI technologies into our web application and promoting the adoption of AI solutions across the organization. The ideal candidate will have a strong background in software development, extensive experience with APIs, and a passion for artificial intelligence. 

From day one, you’ll be assigned to an active project, working under a senior developer who will push you to think about cost, architecture, and security.

Apply if you want to grow fast inside a real AI engineering team, you’re curious about how LLMs work in production, and you take code quality seriously even when no one is watching.

Job Details:

Work from home

Monday to Friday | 9 AM to 6 PM

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.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field. Advanced degrees are highly desirable.

• 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, i.e. Prompt Injection, Improper Output Handling, Excessive agency, Unbound Consumption

• 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, with a proven ability to design and implement innovative solutions.

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and convey complex technical concepts to non-technical stakeholders.

Nice to Have:

• RAG implementation experience: chunking, embedding, vector stores (Pinecone, pgvector, Weaviate)

• Document parsing exposure: pdfplumber, PyMuPDF, AWS Textract, or Docling

• Familiarity with STRIDE threat modeling concepts

• Knowledge of ISO 42001 or EU AI Act AI risk classification

• Experience with Cursor and Claude Code dual-tool workflow

• Prior exposure to a structured pull request review process with automated continuous integration (CI) gates