Senior AI Solutions Developer

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Sourcefit

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

☁️ SaaS

🎯 Recruiter

B2B • SaaS • Recruitment

Sourcefit is a leading business process outsourcing company with headquarters in the Philippines and offices in the Dominican Republic, Armenia, Madagascar, and South Africa. Founded in 2009, Sourcefit specializes in providing custom offshore and nearshore staffing solutions across various industries including IT, Finance, Healthcare, Retail, and more. They focus on offering efficient and cost-effective BPO services such as telesales, customer support, content moderation, IT support, web development, and more. Sourcefit is committed to building long-term value for organizations through customized, efficient, and integrated offshore staffing solutions.

📋 Description

• Lead AI Solutions pre-implementation review: model selection, cost benchmarking, hosting strategy, prototype trade-offs documented before any build begins • Architect and implement LLM pipelines: prompt engineering, RAG, structured output, tool use, multi-agent flows • Design and build REST APIs and data pipelines connecting AI components to Knit and client systems • Own repo-level AI configuration, shared prompt libraries, agent configs • Conduct code reviews with written feedback; mentor Junior developers; set and document best practices • Review SNS/SQS message contracts and integration impact before any cross-service AI merge • Lead OWASP LLM Top 10 (2025) red-team testing on every project before production release • Ensure STRIDE threat model is complete for every new AI system, covering data poisoning, prompt injection, model extraction, and excessive-agency risks • Collaborate with cross-functional teams to gather requirements and propose AI-based solutions that address business needs and drive innovation. • 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.

🎯 Requirements

• Bachelor’s degree in computer science, Engineering, or a related field. • 4+ years professional software engineering/development, with 2+ years focused on production AI/ML or LLM integration • Deep Python fluency, i.e. FastAPI or equivalent backend frameworks for production AI services • Hands-on LLM API experience: Anthropic Claude, OpenAI GPT-4, or equivalent — including structured output, tool use, and agentic patterns • Solid RAG implementation: chunking strategies, vector stores (Pinecone, Weaviate, pgvector), embedding models, retrieval validation • Document intelligence: OCR pipelines, PDF extraction (PyMuPDF, pdfplumber, AWS Textract, Docling) • AWS services: Lambda, S3, Bedrock, SageMaker or equivalent cloud AI platform • OWASP LLM Top 10 (2025) compliance. Can identify, mitigate, and red-team test all 10 risks in production AI systems • OWASP ASVS Level 2 secure coding application to API design, authentication, and data handling • STRIDE threat modeling for AI systems covering data poisoning, prompt injection, model extraction, excessive agency • Model/API selection for choosing the right model tier for the task (cost-performance fit, not default-to-best) • Cost-per-request benchmarking with documented analysis extrapolated to 6–12 months at projected scale • Hosting strategy, e.g. serverless vs self-hosted decision with infrastructure cost trade-off • Prototype trade-off report, ex. 2–3 model options tested with documented accuracy, latency, and cost results • Strong knowledge of AI technologies, including machine learning, natural language processing, and computer vision. • 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.

🏖️ Benefits

• Remote work Monday to Friday | 9 AM to 6 PM