ai systems engineer

Apple

Are you a senior engineer who can keep large, AI-augmented systems running 
 
reliably at Apple scale? Apple's Stability Engineering team is looking for a 
 
seasoned engineer to join our Core team in San Diego. We build and operate the 
 
platforms, services, and infrastructure that turn crash reports from Apple 
 
devices into actionable engineering insights. You'll work on systems where 
 
LLMs and agents are already part of the production fabric - evolving them, 
 
hardening them, and using AI tools to extend what a small team can deliver. 
 
Description 
 
Our team owns the end-to-end platform behind stability analysis at Apple: 
 
symbolication of crash logs across the company's hardware portfolio, the data 
 
pipelines that aggregate and cluster crash logs, and the applications and 
 
services that engineers across Apple use every day to drive operating-system 
 
quality. This role is about keeping that platform healthy, extending it 
 
deliberately, and making the engineering team itself more effective by using 
 
AI tools well. 
 
Day to day, you'll spend most of your time on the engineering work of running 
 
real systems: tuning evaluation infrastructure, tightening operational 
 
controls, improving auditability and debug trails, and scaling the workflows 
 
our analysts rely on. When new capabilities are needed, you'll prototype and 
 
integrate them into the platform. You'll partner closely with stability 
 
analysts who are domain experts in OS reliability, and with the broader team 
 
responsible for symbolication, ETL, and service infrastructure. You'll also 
 
be expected to use AI-assisted development tools fluently to investigate 
 
issues, refactor at scale, and ship more with a small team. 
 
We're looking for someone with the rigor of a seasoned production engineer 
 
who is also comfortable operating systems that include LLMs and agents as 
 
first-class components. If you enjoy taking responsibility for a complex, 
 
already-running platform and making it steadily better, we want to talk. 
 
Preferred Qualifications 
 
Experience operating LLM- or agent-based features in production environments over time 
 
Experience building or maintaining evaluation harnesses, audit trails, or 
 
replay infrastructure for AI systems 
 
Background in developer tools, observability, crash/stability analysis, or other operating-system-quality domains 
 
Familiarity with one or more of: Ruby on Rails, Node.js/TypeScript, Python for production services 
 
Experience working in environments with significant deferred scalability work (capacity-constrained, long-lead-time infrastructure) 
 
Minimum Qualifications 
 
5+ years of professional software engineering experience building and operating production systems 
 
BS in Computer Science or a related field, or equivalent practical experience 
 
Fluent use of AI-assisted development tools (coding agents, code review assistants, etc.) to work effectively at scale 
 
Demonstrated experience designing and scaling distributed systems (load balancing, active-active topologies, capacity planning, throughput-bound services) 
 
Track record of maintaining and evolving production services - observability, operational controls, incident response, and steady iteration on existing systems 
 
Strong full-stack instincts; comfortable spanning data infrastructure, backend services, and the user-facing surfaces that consume them 
 
Proven ability to operate independently on ambiguous, open-ended problems where the right answer is not obvious 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Full Stack AI Systems Engineer

Q-Solutions

Core MissionArchitect the future of enterprise software by building autonomous, agentic AI ecosystems for industry-leading platforms.Who We Are &amp; What We Are BuildingAt Q-Solutions, we don't just write code; we engineer sophisticated, cloud-native distributed systems. We are a specialized technology services organization transitioning rapidly away from traditional software cycles into a fully realized Agentic Development Life Cycle.One of our flagship enterprise products is a market-leading health and safety training platform trusted by major US and European construction, engineering, and manufacturing firms. We are currently rebuilding the foundation of this platform&mdash;and our broader product ecosystem&mdash;to integrate autonomous AI agents, dynamic regulatory compliance scrapers, and automated private-label deployment engines.We are looking for a brilliant, adaptive developer to join our core team and lead this engineering evolution.Who You Are<ul><li>You value Impact over Activity. You don't count lines of code or hours spent at a desk; you care about shipping resilient, intelligent software that solves complex problems.</li><li>You are a professional &quot;Vibe Coder.&quot; To you, AI tools aren't a crutch for the inexperienced&mdash;they are an accelerator for the elite. You utilize AI to generate code at a rapid velocity, but maintain absolute, active control, verification, and expert modification over every output.</li><li>You are obsessed with Agents. Building simple wrapper apps or static chatbots bores you. You want to orchestrate multi-agent workflows, tool-use loops, and self-correcting autonomous systems.</li></ul>Key Responsibilities<ul><li>Build Agentic Infrastructure: Design and implement specialized AI agents capable of parsing shifting federal OSHA/EPA regulations, updating course logic dynamically, and interacting intelligently with enterprise B2B ecosystems.</li><li>Modern Full-Stack Development: Ship robust, scalable microservices and serverless architectures. Optimize backends for low-latency multi-agent communication and frontends for seamless UX.</li><li>Scale Private-Label Automation: Refine and scale our automated white-label systems, making it effortless for external enterprise organizations to deploy bespoke versions of our platforms.</li><li>Evolve the Engineering Pipeline: Work at the bleeding edge of the Agentic Development Life Cycle, actively using AI to multiply your development output while maintaining flawless architectural integrity and test automation.</li></ul>Technical Requirements<ul><li>Core Stack: Strong proficiency in modern enterprise web development (Node.js, Python, TypeScript, modern frontend frameworks, and cloud-native architecture).</li><li>AI Ecosystems: Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, etc.), vector databases, semantic search, and structured prompt evaluation.</li><li>System Design: Solid understanding of event-driven architectures, API design (REST/GraphQL), and distributed system performance.</li><li>Mindset: An aggressive learner who values technical autonomy, picks up new frameworks in an afternoon, and thrives in an agile, high-trust environment.</li></ul>What&rsquo;s In It For You?<ul><li>Greenfield Architecture: You won&rsquo;t be stuck maintaining dusty legacy code. You will actively design how AI and agentic automation redefine major industrial and commercial platforms.</li><li>Elite Technical Culture: Work in a team where using AI to code faster and smarter is an engineering standard, led by a leadership team that speaks your language.</li><li>Global Footprint: Your code will directly power platforms serving a massive B2B client base across North America and Europe, managing real-world safety compliance at scale.</li></ul>How to ApplySkip the generic CV summaries. Send us a brief breakdown of the coolest agentic workflow or AI tool you&rsquo;ve built, modified, or broken recently, the architectural choices you made, and why it fired you up.Work Location: In person

AI & Agentic Systems Engineer (Full-Stack)

MANTECH

<div>MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.
The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.
Responsibilities include but are not limited to:<ul><li>
Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).</li><li>
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.</li><li>
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.</li><li>
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.</li><li>
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.</li><li>
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.</li></ul>
Minimum Qualifications:<ul><li>
Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.</li><li>
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.</li><li>
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.</li><li>
Experience with Kubernetes-based AI deployments and GPU optimization techniques.</li><li>
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering or a related field.</li><li>
Experience with LangGraph, Semantic Kernel, and agentic AI systems.</li><li>
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.</li><li>
Advanced degree (Master's or PhD) in a technical field.</li></ul>
Clearance Requirements:<ul><li>
TS/SCI with the ability to obtain and maintain a polygraph</li></ul>
Physical Requirements:<ul><li>
The person in this position must be able to remain in a stationary position 50% of the time.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Constantly operates a computer and other office productivity machinery.</li></ul></div>

AI Engineer

Ruby Labs

<div><h1 class="jobSectionHeader">About us</h1>
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/<h1 class="jobSectionHeader">
About the role</h1>
At Ruby Labs we are looking for a Senior AI Engineer to own and drive the quality, reliability, and evolution of our AI systems in production.
This is a high-ownership role. You will be responsible for end-to-end delivery of major AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse, Mixpanel and OpenRouter. You&rsquo;ll work in a modern stack built on Next.js, TypeScript, Node.js, and Redis, collaborating closely with product, growth, data, and billing teams. Increasingly, this includes building agentic, tool-using AI systems &mdash; defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services and business systems.
Our engineering organization uses a squad-based structure. You will operate within an AI engineering squad, contributing as a senior technical voice and driving engineering quality within your area of the product.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Take complete ownership and deliver major AI engineering features within agreed timelines.</li><li>
Own AI output quality, structure, and predictability across all user-facing AI interactions.</li><li>
Design, implement, and maintain output-type-based AI systems, including segmentation, routing, and enforcement.</li><li>
Ensure consistent output structure and formatting across different LLMs for the same request type.</li><li>
Integrate and orchestrate multiple LLM providers via OpenRouter, managing model selection, fallback strategies, and cost optimisations.</li><li>
Design and orchestrate tool-using and agentic AI workflows, defining clean tool contracts (including MCP-based tools), function-calling interfaces, and reliable AI-to-system integrations.</li><li>
Build and maintain complex, multi-step LLM workflows, including with orchestration frameworks such as LangChain or LlamaIndex, for advanced reasoning, context reuse, and retrieval.</li><li>
Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic.</li><li>
Own the deployment and release of LLM experiments, prompt management, and Langfuse-based evaluation pipelines.</li><li>
Run A/B tests across models, analyse results, and present data-driven impact assessments of AI features and experiments.</li><li>
Monitor AI system metrics, quality signals, latency, and release health using Langfuse and other observability tools.</li><li>
Deep-debug complex LLM chains using Langfuse traces, identifying bottlenecks and optimising for cost, latency, and context-window usage, and build output-scoring systems to root-cause hallucinations and logic errors.</li><li>
Write clean, scalable, and maintainable TypeScript code across the Next.js and Node.js stack.</li><li>
Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behaviour in production, including reliable tool execution and AI-to-service integrations.</li><li>
Ensure high code quality through testing, code reviews, and clear engineering standards.</li><li>
Monitor, troubleshoot, and improve production performance, reliability, and system health.</li><li>
Drive maintainability and technical quality through solid architecture, refactoring, and disciplined release practices.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
6+ years of backend/full-stack software engineering experience, including production-grade TypeScript/Node.js. Experience with Next.js and/or Python is a plus.</li><li>
2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates.</li><li>
Deep hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) in production environments.</li><li>
Experience with Agentic AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking.</li><li>
Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms.</li><li>
Experience with AI gateways and model routing solutions, such as OpenRouter or equivalent technologies.</li><li>
Solid understanding of Redis and relational databases, such as PostgreSQL.</li><li>
Exceptional ownership mindset and personal responsibility for engineering quality and delivery.</li></ul><h1 class="jobSectionHeader">
Nice to have</h1><ul><li>
Experience with AI-centered development tools such as Cursor, Claude Code, Windsurf, or similar platforms.</li><li>
Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches.</li><li>
Experience working in high-pressure startup environments with rapid product iteration cycles.</li><li>
Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool contracts for AI agents.</li><li>
Experience with edge and serverless runtimes, such as Cloudflare Workers, and supporting services including KV, Durable Objects, Queues, R2, and D1.</li><li>
Experience with payments, billing and checkout flows, or orchestration platforms.</li><li>
Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance.</li><li>
Working proficiency in Python for data science, evaluation scripts, or AI tooling.</li></ul><h1 class="jobSectionHeader">
Location</h1>
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately &plusmn; 4 hours of CET. This ensures optimal collaboration and communication during working hours.<h1 class="jobSectionHeader">
Benefits</h1>
Discover the perks of being part of our vibrant team! We offer:<ul><li>
Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
</li><li>Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
</li><li>Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
</li><li>Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
</li><li>Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0</li></ul>
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!<h1 class="jobSectionHeader">
Interview Process</h1>
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:<ul><li>
Recruiter Screening (40 minutes)</li><li>
Technical Interview (60 minutes)</li><li>
Second Interview (30 minutes)</li><li>
Final Interview (20 minutes)</li></ul><h1 class="jobSectionHeader">
Life at Ruby Labs</h1>
At Ruby Labs, we move fast, aim high, and expect the same from our team. We&rsquo;re not here to play small&mdash;we&rsquo;re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you&rsquo;re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more&mdash;more responsibility, more growth, and more success.
#LI-Remote</div>

Senior AI Software Engineer

Direct Supply

<div><div><div>About the Role
</div><div>Direct Supply is building AI systems that change how care is delivered to millions of seniors and support the people who care for them. We're hiring engineers to design, ship, and operate those systems in production.
</div><div>This role spans the full product lifecycle: discovery, experimentation, application delivery, and deployment. You'll work directly with customers and product teams, own technical calls, and see your product used at scale .
</div><div>We expect technical rigor, architecture discipline , strong product judgment, and a track record of shipping. In return, you get autonomy and real customer impact. 
</div><div>What You&rsquo;ll Do
</div><div><ul><li>Design, build, and operate systems in customer-facing production environments
</li></ul></div><div><ul><li>Translate ambiguous business and customer problems into prototypes &amp; technical specs
</li></ul></div><div><ul><li>Track AI capabilities and apply them where they create clear leverage
</li></ul></div><div><ul><li>Own the full application lifecycle: product d iscovery , experimentation, evaluation, deployment, and monitoring
</li></ul></div><div><ul><li>Own system design, tradeoffs, and long-term scaling and maint ainability
</li></ul></div><div><ul><li>Build code bases that are legible to agents and other developers ; drive the organization forward on tooling .
</li></ul></div><div><ul><li>Partner with product managers to enhance their product vision , including with AI-native solutions 
</li></ul></div><div>What We&rsquo;re Looking For
</div><div><ul><li>Strong applied AI and software engineering fundamentals
</li></ul></div></div><div><div><ul><li>Builders who can span tech , product, and design thinking with high autonomy
</li></ul></div><div><ul><li>Bias for shipping, iterating, and following customer feedback over polish
</li></ul></div><div><ul><li>High ownership &amp; agency &mdash; measured by outcomes, not deliverables
</li></ul></div><div><ul><li>Curiosity to improve systems, products, and your own craft 
</li></ul></div><div>What We Work In
</div><div>You don't need every one of these, but this is the stack you'll be productive in:
</div><div><ul><li>P ython, C#, TypeScript , PostgreSQL ;
</li></ul></div><div><ul><li>Frontier model ecosystems &amp; agent frameworks (e.g., Anthropic, OpenAI)
</li></ul></div><div><ul><li>Docker, Terraform, and AWS 
</li></ul></div><div>Minimum Qualifications
</div><div><ul><li>2+ years in software engineering or applied AI
</li></ul></div><div><ul><li>Experience working with AI development tools in f ull-stack applications
</li></ul></div><div><ul><li>Experience designing AI-based solutions to real workflows
</li></ul></div><div><ul><li>Working knowledge of cloud and frontier AI platforms 
</li></ul></div><div>Nice to Have
</div><div><ul><li>Degree in Computer Science, Engineering, Data Science, or a related field
</li></ul></div><div><ul><li>Experience operating AI systems in production , with attention to evaluation, cost, and performance tradeoffs
</li></ul></div><div><ul><li>Background in high-ambiguity environments with proximity to customers ( e.g ., early-stage startups, forward-deployed engineering, internal product teams)
</li></ul></div><div><ul><li>Experience in large-scale Python, C#, and TypeScript codebases
</li></ul></div><div><ul><li>Experience integrating AI solutions into existing, established products.
</li></ul></div><div><ul><li>Experience working with healthcare, regulated, or sensitive data
</li></ul></div></div>Job to be performed in the location listed. Generous benefit package available.
&copy; 2013 to 2026 Direct Supply, Inc. All rights reserved.</div>

Sun West Mortgage Company, Inc.

<div>
 
 
 Financial Analyst / Financial Engineer &ndash; Fintech Infrastructure (On‑Site)
 
 
 
 
 Company:
 
 Sun West Mortgage Company, Inc. | AngelAi
 
 Location:
 
 Cerritos, CA (On‑Site)
 
 Position Type:
 
 Full-Time
 
 Compensation:
 
 
 $90,000&ndash;$150,000 per year
 
 , based on experience
 
 
 
 
 
 
 
 
 
 About AngelAi &amp; Sun West
 
 
 
 You&rsquo;re not just joining a mortgage company &mdash; you&rsquo;re joining
 
 AngelAi
 
 , the high‑growth fintech innovation arm of
 
 Sun West Mortgage Company
 
 , a trusted financial leader since 1980.
 
 
 AngelAi builds
 
 emotionally intelligent AI systems
 
 and advanced financial automation platforms, including:
 
 <ul>
 <li>
 
 AngelAI
 
 &ndash; Patented AI decisioning engine
 </li>
 <li>
 
 TRU Approvals&reg;
 
 &ndash; Real-time underwriting and risk assessment
 </li>
 </ul>
 
 Your work will directly influence
 
 real-time financial intelligence, risk modeling, predictive analytics, and system optimization
 
 across a highly regulated financial environment.
 
 
 This is a rare opportunity to operate at the intersection of
 
 fintech, AI, quantitative finance, and financial engineering
 
 .
 
 
 
 
 
 
 Role Overview
 
 
 
 We are hiring
 
 Financial Analysts / Financial Engineers
 
 who think like systems architects &mdash; not traditional spreadsheet operators. This role sits at the core of our financial infrastructure, where you will engineer models, optimize financial systems, and drive high‑stakes decision automation.
 
 
 You will own a critical financial domain, build forward‑looking models, and influence how capital, risk, and operational efficiency flow through the entire Sun West platform.
 
 
 
 
 
 
 Your Mission
 
 
 
 This is a deep‑ownership, high‑impact role where you will:
 
 
 
 
 
 
 Own
 
 
 <ul>
 <li>
 A defined, mission‑critical segment of Sun West&rsquo;s financial infrastructure
 </li>
 <li>
 End‑to‑end oversight of financial systems, reporting logic, and optimization levers
 </li>
 </ul>
 
 
 
 
 
 Engineer
 
 
 <ul>
 <li>
 High‑fidelity financial models, forecasts, and predictive analytics
 </li>
 <li>
 Stress‑tested risk models and scenario simulations
 </li>
 <li>
 Scalable financial logic that integrates with AI‑driven decision engines
 </li>
 </ul>
 
 
 
 
 
 Optimize
 
 
 <ul>
 <li>
 Capital allocation, risk exposure, and operational cost structures
 </li>
 <li>
 Systemic inefficiencies across financial operations
 </li>
 <li>
 Real-time financial performance under regulatory constraints
 </li>
 </ul>
 
 You will operate like a
 
 financial systems engineer
 
 , not a historical accountant.
 
 
 
 
 
 
 Your Impact
 
 
 <ul>
 <li>
 
 Architect &amp; Own:
 
 Full responsibility for a major financial domain within Sun West&rsquo;s books
 </li>
 <li>
 
 Deploy Models:
 
 Build and maintain advanced financial models and forecasting engines
 </li>
 <li>
 
 Identify Inefficiencies:
 
 Surface optimization opportunities that materially impact profitability
 </li>
 <li>
 
 Translate Complexity:
 
 Convert legal, regulatory, and contractual language into financial logic
 </li>
 <li>
 
 Advise Leadership:
 
 Partner with AI, Engineering, and Executive teams to drive strategic decisions
 </li>
 <li>
 
 Proactively Improve Systems:
 
 Raise early warning indicators and propose actionable solutions
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Qualifications
 
 
 
 We&rsquo;re looking for individuals with
 
 intellectual intensity, analytical rigor, and a builder&rsquo;s mindset
 
 .
 
 
 
 
 
 
 Required
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Finance, Accounting, Economics, Mathematics, or related quantitative field
 
 </li>
 <li>
 Strong command of
 
 accounting fundamentals
 
 and
 
 financial statement analysis
 
 </li>
 <li>
 Ability to interpret
 
 legal and contractual documents
 
 and translate them into financial logic
 </li>
 <li>
 A
 
 financial engineering mindset
 
 &mdash; you see finance as a system to optimize
 </li>
 <li>
 High intellectual curiosity and passion for understanding complex financial systems
 </li>
 <li>
 Comfort navigating ambiguity and high‑stakes financial structures
 </li>
 <li>
 Detail‑oriented, disciplined, and capable of independent leadership
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience in
 
 mortgage finance, fintech, financial services, or risk modeling
 
 </li>
 <li>
 Exposure to
 
 AI‑driven financial systems
 
 , automation, or quantitative modeling tools
 </li>
 </ul>
 
 
 
 
 
 Why You&rsquo;ll Love This Role
 
 
 <ul>
 <li>
 
 You&rsquo;re a Builder:
 
 You will engineer financial systems, not just report on them
 </li>
 <li>
 
 Direct Ownership:
 
 Your work directly impacts the entire Sun West financial platform
 </li>
 <li>
 
 Real Complexity:
 
 Operate in a regulated, high‑stakes financial environment
 </li>
 <li>
 
 Influence Architecture:
 
 Your models shape risk detection, system efficiency, and strategy
 </li>
 <li>
 
 Elite Collaboration:
 
 Work alongside AI, engineering, and executive leadership from day one
 </li>
 </ul>
 
 
 
 
 
 Compensation
 
 
 
 
 Salary Range:
 
 
 $90,000&ndash;$150,000 per year
 
 , depending on experience and technical depth. Additional benefits available upon request.
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 Sun West Mortgage Company and AngelAi are committed to building a diverse, inclusive workplace. We welcome applicants from all backgrounds.
 
 
 
 
 
 
 How to Apply
 
 
 
 Please submit your resume and a brief cover letter to :
 
 swmc.resumes@swmc.com
 
 
</div>

Financial Analyst

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

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