• Phase 1 build of the AI orchestrator — intent & slot extraction, policy engine, planner, composer LLM, output guardrails, PII redaction. • Basic RAG for motor policy Q&A. • Authenticated claim-status lookup. • Prompt engineering.

Role Description We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch. We are looking for a Senior Python AI Engineer specialized in Generative AI to: - Design agent workflows - Optimize interactions with models (OpenAI, AWS Bedrock) - Ensure the reliability of non-deterministic systems in production Tech Stack: - Python (Asyncio) - FastAPI - LangChain - LangGraph - Pydantic - Elasticsearch - AWS Bedrock / OpenAI API - LangSmith Qualifications - Strong proficiency in modern Python - Deep understanding of asynchronous programming (asyncio) patterns - Experience with FastAPI and Pydantic (v2) - Production experience with LangChain - Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks) - Strategies for handling LLM hallucinations and ensuring reliable outputs - Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) - Advanced strategies for managing limited context windows - Understanding the trade-offs between model size, latency, and cost Requirements - Reduce end-to-end latency through asynchronous processing and streaming (SSE) - Implement semantic caching strategies to minimize API costs and response time - Optimize token usage without sacrificing answer quality - Implement automated evaluation pipelines using LangSmith - Set up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment - Refine retrieval strategies - Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion Nice to Have - Experience with Elasticsearch (DSL queries, analyzers) - Knowledge of vector databases and embedding models - Background in FinTech or familiarity with financial data structures

Role Description - Phase 1 build of the AI orchestrator — intent & slot extraction, policy engine, planner, composer LLM, output guardrails, PII redaction. - Basic RAG for motor policy Q&A. - Authenticated claim-status lookup. - Prompt engineering. Active June–July 2026 (~2 months; duration rounded up to nearest 3-month option). An AI engineer who has shipped LLM-based assistants with RAG and tool-calling into production, strong on prompt engineering and grounding/guardrails. Qualifications - LLM / GenAI application development - Retrieval-augmented generation (RAG) - Prompt engineering - API / tool integration - Python (assumed — confirm) Requirements - OCI Generative AI - Arabic NLP - Insurance / regulated domain - Guardrails & PII handling

Role Description We are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation to architect, build, and deploy intelligent systems that could transform our business. This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower and broker experience, enhance compliance, and increase EBITDA through scalable automation. The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks, and workflow automation with a practical understanding of enterprise systems integration and regulated financial services environments. Essential Duties and Responsibilities - Agentic AI Architecture & Development - Design, develop, and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle. - Build intelligent orchestration frameworks capable of autonomous decision support, task execution, and workflow routing. - Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and executive leadership. - Create AI-powered exception handling and escalation frameworks for complex loan scenarios. - Workflow Automation - Identify, redesign, and automate high-friction operational workflows across the mortgage platform. - Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes. - LLM & AI Engineering - Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. - Build prompt orchestration, memory systems, and agent reasoning frameworks. - Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and decision support. - Systems Integration - Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms. - Develop APIs and middleware to enable seamless AI workflow orchestration. - Governance, Risk & Compliance - Ensure AI implementations align with mortgage regulatory requirements and governance standards. - Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals. - Strategy & Innovation - Help define and execute the enterprise AI strategy. - Prioritize high-ROI automation opportunities that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA. Qualifications - 5+ years of software engineering, AI engineering, or machine learning experience. - 2+ years building LLM-based applications or agentic AI systems. - Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures. - Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation. Preferred Qualifications - Experience in mortgage lending, fintech, banking, or financial services. - Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products. - Experience with mortgage LOS platforms and deploying AI in regulated environments. Technical Stack (Preferred) - Languages: Python, SQL, JavaScript/TypeScript - AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face - Automation: n8n, UiPath, Zapier, Make, Apache Airflow - Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD Benefits - Medical, dental, vision, wellness programs, EAP counseling services, FSA & HSA. - Company sponsored life insurance for employee, voluntary life insurance for employee, spouse and child. - AD&D Insurance, voluntary short-term and long-term disability, critical illness insurance, accident insurance. - Legal assistance, pet insurance, living will and trust preparation discounts, commuter program. - Annual walking challenge, employee appreciation events and monthly sales awards.