ai systems engineer

Innovative Defense Technologies

<div><div><div><div><div>About The Role:
</div><div>Innovative Defense Technologies (IDT), a leading defense technology company, is seeking an AI Implementation Engineer to be part of our Warfare Systems team and based out of our Arlington, VA or Mount Laurel, NJ location.</div><div>
</div><div>
The AI Implementation Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an engineer who has extensive experience with commercially available AI tooling/chat, hosting LLM servers and has demonstrated ability to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows.</div><div>
</div><div>
Clearance &amp; Location Requirements:
</div><ul><li>All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
</li><li>This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA location or Mt. Laurel, NJ location.
</li></ul></div></div></div>Key Responsibilities
<div><div><div><div>What You Will Do:
</div><ul><li>Design and Build AI Solutions for On-Prem systems in Air-Gapped environment: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability.</li>
<li>Integrate Models and Tools for On-Prem systems in Air-Gapped environment: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably.</li>
<li>Develop Retrieval Pipelines for On-Prem systems in Air-Gapped environment: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality.</li>
<li>Engineer Conversational and Agentic Interfaces for On-Prem systems in Air-Gapped environment: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions.</li>
<li>Implement and Evaluate AI Workflows for On-Prem systems in Air-Gapped environment: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability.</li>
<li>Architect local infrastructure to size, config, and optimize local CPU/GPU workloads, utilizing quantization techniques to maximize throughput, etc.</li>
<li>Orchestrate disconnected environments, design and maintain offline model update pipelines, local package mirrors, etc.</li>
<li>Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals.</li>
<li>Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning.</li>
<li>Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic.</li>
<li>Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation.</li>
<li>Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.</li>
</ul></div></div></div>Skills, Knowledge &amp; Expertise
<div><div><div><div>Who You Are (Required):
</div><ul><li>Bachelor&rsquo;s Degree in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, Math, or equivalent full-time professional experience; Master&rsquo;s Degree in Engineering or other technical field highly desired</li>
<li>5-10+ years of professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles</li>
<li>Proficiency in Python, including experience with core libraries such as NumPy and Pandas</li>
<li>Deep hands-on experience with production local inference engines such as vLLM, SGLang, Triton Inference Server, or TensorRT-LLM</li>
<li>Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen</li>
<li>Experience with Linux and hardening (fapolicy/selinux/fips/etc)</li>
<li>Experience with commercially available AI tooling/chat</li>
<li>Experience with hosting LLM servers</li>
<li>Experience with hosting different models (chat/embedding)</li>
<li>Experience with distributed networking (reverse proxy/load balancing/firewalls/etc)</li>
<li>Experience with containerization</li>
<li>Ability to work independently on technical tasks while collaborating effectively in a team environment</li>
<li>Ability to shift from one project to another in an agile work environment</li>
<li>Strong leadership capabilities and skills</li>
<li>Strong documentation skills</li>
<li>Ability to travel up to 10% of the time, as needed</li>
</ul><div>What Makes You Stand Out:
</div><ul><li>Experience hosting LLM servers on local hardware</li>
<li>Experience with various GPU architectures (NVIDIA preferred)</li>
<li>Experience with AI Gateways</li>
<li>Experience with LLM servers and model optimization (VRAM/layers/quantization/fasttensor/kv-cache/parallel/etc)</li>
<li>Experience with LLM toolcalling</li>
<li>Experience with RAG</li>
<li>Experience with vector stores</li>
<li>Experience with ModelContextProtocol</li>
<li>Experience with container orchestration</li>
<li>Experience managing and directing personnel while maintaining cost and schedule targets</li>
<li>Problem-solving skills with the ability to navigate ambiguous situations</li>
</ul><div>If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. 
</div><div>Pay Range*: $114,000 - $184,000 or $135,000 - $231,000 
</div><div>This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate&rsquo;s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.</div></div></div>
</div>Job Benefits
<div><div><div><div>Why Work at Innovative Defense Technologies (IDT): 
</div><div>IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:</div><ul>
<li>Generous benefits package</li>
<li>Competitive PTO</li>
<li>Paid holidays</li>
<li>401(k) with immediate vesting and matching</li>
<li>9/80 optional schedule (2nd and 4th Friday off every month)</li>
<li>Tuition Assistance Reimbursement Program</li>
<li>Professional Development Resources</li>
<li>Pre-Tax Commuter Benefits</li>
<li>Organization-Wide Monthly Tech Connect Events</li>
<li>Annual Employee Recognition Awards</li>
<li>Regular Social Events and Catered Lunches</li></ul><div> 
 
</div><div>EEO Statement:
</div><div>IDT is an Equal Opportunity employer.</div></div></div>
</div>About Innovative Defense Technologies
<div><div>Innovative Defense Technologies (IDT) is a leading defense technology company focused on rapidly delivering mission-critical software and systems solutions to the U.S. government. The company specializes in automation, digital engineering, and enabling the rapid integration of advanced capabilities into complex weapon and combat systems. These essential solutions empower the warfighter to field, operate, and sustain decisive capability at speed and scale.</div><div>
</div><div>
At IDT, our employees are developing advanced mission-critical outcomes by consistently delivering high-quality results, fostering innovation, applying rigorous problem-solving, and effectively collaborating across multifaceted teams and stakeholders. Grounded in these competencies, IDT translates complex customer priorities into robust software solutions.</div></div></div>

AI Implementation Engineer - JobID-0245

NVIDIA

<div>
 NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production &mdash; over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge. In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 LLM-Powered Validation Pipelines: Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments. You're not maintaining what exists, you're building what comes next.
 </li>
 <li>
 Cross-Team AI Integration: Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution. Your output will be felt across teams, products, and generations of silicon.
 </li>
 <li>
 Technology Scouting &amp; Evaluation: Evaluate emerging AI frameworks and architectures before the rest of the industry catches on. Be the person who spots what's worth adopting, and makes the case for it.
 </li>
 <li>
 Impact Measurement &amp; Continuous Improvement: Build the data systems that prove what's working. Establish clear, quantitative indicators of AI impact, close performance gaps, and drive iteration across the org to turn insight into lasting improvement!
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
 </li>
 <li>
 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end &mdash; from prototype through production deployment.
 </li>
 <li>
 Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
 </li>
 <li>
 Experience working within a silicon development environment, with exposure to chip and system characterization methodologies, process variation, statistical error rates, or advanced timing/power analysis.
 </li>
 <li>
 Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
 </li>
 <li>
 Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
 </li>
 <li>
 Proven track record to balance multiple concurrent projects and apply excellent problem-solving, communication, and teamwork skills.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in driving root cause analysis of silicon or feature-level issues.
 </li>
 <li>
 Ability to translate innovative AI research into practical, high-impact production tools.
 </li>
 <li>
 Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
 </li>
 <li>
 Experience with building and deploying orchestration agents managing hundreds to thousands of tools.
 </li>
 <li>
 Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
 
 
 </li>
 </ul>
 Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
 
 
 You will also be eligible for equity and benefits.
 
 
 Applications for this job will be accepted at least until August 1, 2026.
 
 
 This posting is for an existing vacancy.
 
 
 NVIDIA uses AI tools in its recruiting processes.
 
 
 NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
 
 
 , , JR2018179
 
 
</div>

Applied AI Engineer

Huron Consulting Group

<div>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future. 
 
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results. 
 
Join our team and create your future.
This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and run the pipelines. CI/CD with automated testing across the pods.</li><li>
Provision the environments. Set up and run the environments the pods build in.</li><li>
Deploy and monitor. The models and agents the pods put into production.</li><li>
Set the standards. Technical and security standards every pod builds to.</li><li>
Build reusable parts. So each new pod starts further ahead than the last.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Building internal developer platforms.</li><li>
AI testing and monitoring in production.</li><li>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</li><li>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</li><li>
Hands-on running AI systems in production.</li><li>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</li><li>
Strong Python.</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul>
The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-REMOTE
#LI-CL1<h2 class="jobSectionHeader">
Position Level</h2>
Manager<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

Platform Engineer, AI Capability Center Hub

Virta Health

<div>Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren&rsquo;t working&mdash;over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people.
As our AI Operations Specialist you will be a technical catalyst driving Virta's evolution into an AI Native organization. You will serve as the hands-on subject matter expert partnering on the department-by-department rollout of our selected agentic AI platform with HR, ensuring our teams safely and effectively exploit generative AI to maximize their operational velocity. In this highly cross-functional role as part of the Engineering organization, you will partner closely with HR, business department SMEs, IT, Information Security, and Infrastructure Engineering to audit AI costs, evaluate AI connectivity requests, and operationalize long-term support workflows. If you are exceptionally curious, structurally analytical, and thrive in rapidly shifting environments, this role is your opportunity to define the future of work in digital health.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Drive Adoption of selected agentic AI platform : Serve as the technical SME and primary champion for our rollout, partnering with HR department-by-department to support technical request and access, identify productivity bottlenecks, and implement high-impact AI use cases.</li><li>
Establish AI Financial Observability: Define, monitor, and report on enterprise AI costs by department, creating structured dashboards to ensure optimized allocations and fiscal efficiency across our SaaS toolset.</li><li>
Govern AI Vendor Risk Assessment: Partner with Information Security and legal teams to review, and assess new AI tools and vendors, validating how to implement connectivity</li><li>
Bridge IT, Security &amp; Engineering Infrastructure: Collaborate with internal infrastructure and security platform engineering teams to translate evolving technical AI guardrails into frictionless business enablement policies.</li><li>
Build Repeatable IT Operational Workflows: Architect and document long-term support processes, training modules, and standard operating procedures (SOPs) to transition daily AI ticket triaging, troubleshooting, and license management smoothly to the broader IT support team.</li></ul><h1 class="jobSectionHeader">
90 Day Plan</h1>
Within your first 90 days at Virta, we expect you will do the following:<ul><li>
First 30 days: Deep dive into Virta's agentic AI platform and the deployment strategy. Build strong relationships with key partners in IT, GRC, and Foundations Engineering, and shadow current software evaluation queues.</li><li>
Day 30-60: Partner on first pilots across the first key business departments, identifying specific workflow opportunities. Deliver the first automated dashboard tracking AI token utilization and cost metrics broken down by department.</li><li>
Day 60-90: Formalize the AI vendor risk checklist in partnership with the Security team, deploy self-service AI guides, and document onboarding SOPs so that Tier 1 and Tier 2 IT support staff can autonomously assist users with common generative AI queries.</li></ul><h1 class="jobSectionHeader">
Must-Haves</h1><ul><li>
2+ years of experience in agentic AI, IT operations, and business systems enablement, 4 years technical program management.</li><li>
Technical skills: Hands-on technical experience deploying, configuring, or supporting generative AI productivity suites (such as Google Gemini, OpenAI/ChatGPT Enterprise, or Microsoft Copilot) across corporate environments. API &amp; Model Orchestration: Hands-on experience integrating with frontier LLMs, multi-agent frameworks, and vector/retrieval systems. Software Engineering: Strong fundamentals in general software development with proficiency in languages like Python and C++.</li><li>
Systems Integration: Ability to design with Model Context Protocol (MCP) servers and connect AI systems to existing internal legacy databases and web APIs.</li><li>
Strong analytical and quantitative skills with experience building dashboard telemetry using APIs (e.g., utilizing Sheets, SQL, Looker, or similar BI tools) to gather info across platforms to track API utilization, software licensing, or operational costs.</li><li>
Exceptional agility and communication skills, with a proven ability to demystify complex technical tools for non-technical users and coordinate across IT, Security, and Engineering.</li><li>
Successfully designed and implemented repeatable AI-enabled workflows that address team bottlenecks and improve efficiency.</li><li>
Can-do attitude with never-ending curiosity to learn</li></ul><h1 class="jobSectionHeader">
Core Responsibilities</h1><ul><li>
Tooling &amp; Infrastructure: Build internal AI platforms, custom copilots, prompt libraries, and AI-agent toolkits designed for specific company workflows.</li><li>
Cross-Functional Enablement: Partner with non-technical teams to identify repetitive work and prototype rapid, AI-powered solutions.</li><li>
Governance &amp; Standards: Establish the necessary security guardrails, evaluation frameworks, and system guardrails so internal teams can deploy trusted AI safely at scale.</li><li>
Training &amp; Mentorship: improve AI literacy in partnership with HR and promote AI adoption across the entire enterprise.</li></ul><h1 class="jobSectionHeader">
Values-driven culture</h1>
Virta&rsquo;s company values drive our culture, so you&rsquo;ll do well if:<ul><li>
You put people first and take care of yourself, your peers, and our patients equally</li><li>
You have a strong sense of ownership and take initiative while empowering others to do the same</li><li>
You prioritize positive impact over busy work</li><li>
You have no ego and understand that everyone has something to bring to the table regardless of experience</li><li>
You appreciate transparency and promote trust and empowerment through open access of information</li><li>
You are evidence-based and prioritize data and science over seniority or dogma</li><li>
You take risks and rapidly iterate</li></ul>
Is this role not quite what you're looking for? Join our Talent Community and follow us on Linkedin to stay connected! 
Join our Talent Community | follow us on Linkedin 
Virta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience. For this role, the compensation range is $136,000 - $176,000. Information about Virta&rsquo;s benefits is on our Careers page at: https://www.virtahealth.com/careers.
As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.
As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco.
Clinical roles: We currently do not hire in the following states: AK, HI, RI
Corporate roles: We currently do not hire in the following states: AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.
Virta uses Ashby as its applicant tracking system, which incorporates AI-powered tools (provided by OpenAI, AWS, and Google Gemini) in certain aspects of the recruiting process, including application review, candidate screening, and interview note taking; your data is not used to train AI models, and all final hiring decisions are made by Virta Health personnel. For more information, see Ashby's AI Terms at https://www.ashbyhq.com/resources/terms-ai-features
#LI-remote
Compensation Range: $136K - $176K</div>

AI Operations Engineer

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

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

BV Teck

<div>AI Data Engineer &ndash; Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Data Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $80,000&ndash;$100,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or a related field.</li><li>
Six or more years of data engineering experience, with significant work supporting ML or AI workloads.</li><li>
Strong proficiency in Python and at least one JVM or systems language.</li><li>
Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.</li><li>
Hands-on experience operating petabyte-scale storage and pipeline systems.</li><li>
Strong understanding of distributed systems, data modeling, and storage formats.</li><li>
Experience with dataset versioning, lineage, and reproducibility for ML workflows.</li><li>
Familiarity with high-throughput data loading for accelerator-based training.</li><li>
Strong software engineering practices including testing, CI/CD, and code review.</li><li>
Excellent communication and cross-functional collaboration skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with multimodal datasets at large scale.</li><li>
Familiarity with data quality tooling and dataset evaluation methodology.</li><li>
Exposure to privacy-preserving data systems and regulated data handling.</li><li>
Open-source contributions to data infrastructure projects.</li><li>
Experience supporting frontier model training pipelines.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer. 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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AI Data Engineer

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