Role Description We are seeking a technically strong, systems-minded AI Systems Engineer to embed artificial intelligence into core business workflows and lending operations. The ideal candidate thrives in structured yet evolving environments, can translate complex business processes into scalable technical solutions, and takes ownership of long-term system performance and optimization. You are hands-on, pragmatic, and focused on deploying AI into operational workflows—not just experimentation. What You’ll Do - Participate in discovery calls, requirements gathering, and workflow mapping sessions - Design and implement AI-enabled workflows across loan origination, underwriting, servicing, and reporting systems - Engineer and deploy AI-assisted automation to reduce manual effort and improve decision support - Build and maintain integrations across CRM, document management, automation, and reporting tools - Develop APIs and automation logic to support scalable AI deployment - Evaluate, test, and productionize AI models and tools within operational systems - Ensure AI outputs are reliable, explainable, and aligned with business and compliance requirements - Identify gaps, inefficiencies, and opportunities for AI-driven optimization - Troubleshoot and enhance existing AI-integrated systems - Maintain documentation and support governance standards for AI-enabled workflows - Continuously refine AI solutions based on performance metrics and stakeholder feedback Qualifications - Strong background in AI engineering, automation engineering, and systems integrations - Experience participating in discovery sessions and translating workflows into technical solutions - Hands-on experience integrating CRM systems, automation platforms, APIs, and document systems - Ability to design scalable, maintainable, and production-ready AI solutions - Strong documentation and communication skills - Experience working in structured operational environments Preferred Skills - Experience in lending, real estate, or financial services - Applied AI within operational or production environments (not research-only roles) - Experience with SaaS integration platforms such as Zapier, Make, or Power Automate - Experience working within the Zoho ecosystem - Agile or hybrid delivery experience Benefits - Work From Home: Enjoy the flexibility of remote work, enabling you to balance your professional and personal life effectively. - Generous Paid Time Off: Start with 18 annual paid leaves from your first month, ensuring you have plenty of time to relax and recharge. - US Holidays Observance: Celebrate important cultural moments with designated US holidays. - Free HMO Coverage: Access comprehensive healthcare with free HMO coverage. Hiring Process - Initial screening call with Flexscale: A brief conversation to walk through your background, experience, and role alignment. - Interview with the client: Meet key stakeholders to discuss your experience, skills, and how you approach the role. - Skills assessment: A short assessment to evaluate relevant skills and problem-solving abilities. - Final interview with the client: A deeper conversation focused on long-term fit, expectations, and next steps.

• Join our team and play a crucial role in building, designing, and architecting AI capabilities on our cutting-edge platform. • You'll work with various technologies, including LLM, RAG, Azure AI, AWS Bedrock, OpenAI, LangChain, LlamaIndex, Python, Java, Nginx, Tomcat, Kafka, Elasticsearch, InfluxDB, Redis, MySQL, Linux, C++, Apache, Docker, and Kubernetes. • Create robust, scalable AI systems that run seamlessly 24/7/365. • Collaborate with other engineers, product management, and operations.

• Architect the video generation pipeline end to end. • Design the gen-AI pipeline that transforms lesson specifications into storyboards, scene graphs, scripts, and production plans. • Ship multiple substantial features per week. • Build the multi-agent production workflow. • Engineer the video generation pipeline. • Design programmatic motion to support worked examples with narration. • Run parallelized rendering with generative video models. • Build the ground-truth quality system. • Architect resilient, high-scale media infrastructure. • Raise the bar for the team.

• Develop and experiment with LLMs • Develop REST APIs using Python and FastAPI • Work with AI-assisted and agentic coding tools • Build, deploy, and secure MCP servers • Understand and apply multi-agent systems for problem-solving • Design RAG systems including vector databases and semantic search • Write prompts for various use cases • Develop generative solutions and integrate them into production • Optimize backend systems and implement security best practices • Evaluate LLM systems and ensure quality metrics are met