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founding product engineer

Smvsoft LLC

<p><b>Founding Engineer - Applied AI</b><br/>San francisco, CA (Full time)- In-Office</p><p>$180k-$230k per annum</p><p><b>NO C2C</b></p><p><b>About the Role</b></p><p>Hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.</p><p>This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul><p><b>Requirements</b></p><p><b>Must-Have</b></p><ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul><p><b>Nice-to-Have</b></p><ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul><p>Pay: $180,000.00 - $230,000.00 per year</p><p>Work Location: In person</p>

Founding Engineer - Applied AI

Handshake

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco, CA</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>On-site</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Marketing</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$196K &ndash; $245K &bull; Offers Equity</li>
</ul><div><p><i>For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.</i></p></div></div></div>
<br><div><div><h1 class="jobSectionHeader"><b>About Handshake</b></h1>
<p>Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.</p>
<p>In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We&rsquo;ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.</p>
<p><b>Why join Handshake now:</b></p>
<ul><li><p>Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</p>
</li><li><p>Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</p>
</li><li><p>Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders</p>
</li><li><p>Build a massive, fast-growing business with billions in revenue</p>
</li></ul><p><b>About Handshake AI</b></p>
<p>Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.</p><br>
<div></div><h1 class="jobSectionHeader"><b>The Role</b></h1>
<p>Handshake built the eval and human-data infrastructure that frontier AI labs rely on to make their models better. We're now pointing that same infrastructure at the enterprise &mdash; helping Fortune 500 companies in banking, insurance, retail, and legal build the eval and improvement loops their AI agents need to work safely in production. This is the founding marketing role for that business &mdash; and at its core, a product marketing role: positioning, technical narrative, and sales partnership come first, with reporting into a team built by former Palantir go-to-market leadership and direct visibility to company leadership. If this line of business becomes what we expect it to, this founding role grows into a team you build and lead.</p>
<ul><li><p>Own positioning and messaging end-to-end &mdash; define the ICP, build the competitive narrative, and stand up the messaging architecture everything else runs on</p>
</li><li><p>Translate technical proof points (evals, RL environments, model behavior) into content that credibly reaches technical buyers: POVs, case studies, executive bylines, sales narrative</p>
</li><li><p>Build sales enablement from scratch &mdash; pitch decks, battlecards, objection handling &mdash; for a sales team currently working without a CRM or existing collateral</p>
</li><li><p>Partner on the front line with sales and a deployment strategist/solutions architect &mdash; joining demos and discovery calls to close knowledge gaps in real time as the team ramps</p>
</li><li><p>Shape account-based, vertical-specific motions (banking, insurance, retail, legal) in partnership with field and growth marketing, who will already be staffed and running events by fall</p>
</li><li><p>Stand up a minimum-viable digital presence (microsite/landing pages) with support from web dev</p>
</li><li><p>Use AI tooling aggressively to operate above your weight class &mdash; this function doesn't have the headcount yet for a traditional team structure</p>
</li></ul><h2 class="jobSectionHeader"><b>You Have</b></h2>
<ul><li><p>7+ years in B2B marketing with a strong product marketing foundation &mdash; this is a PMM-first role, not a generalist growth or demand gen seat</p>
</li><li><p>Experience partnering with enterprise sales in a high-ACV, complex technical sales motion &mdash; comfortable joining live demos and discovery calls, not just producing materials from a distance</p>
</li><li><p>Gone zero-to-one before: launched a product, built a function, or served as a founding/solo marketer at an early-stage company</p>
</li><li><p>Sold complex technical solutions into traditional, non-tech Fortune 500 enterprises (banking, insurance, retail) rather than exclusively tech buyers</p>
</li><li><p>Strong writer and storyteller who gets fluent in genuinely technical material fast</p>
</li><li><p>Operates independently with real agency in ambiguous, fast-moving environments &mdash; this team is early and self-directed, without a lot of hand-holding infrastructure yet</p>
</li></ul><p><b>Bonus points:</b></p>
<ul><li><p>Came up at a large, structured company (Salesforce, Google, etc.) before making the jump to a founding marketing role at an AI or technical B2B startup</p>
</li><li><p>Fluent in AI tooling as a way of multiplying personal output across content, research, and competitive intel, rather than just a topic you market</p>
</li></ul><h2 class="jobSectionHeader"><b>We Offer</b></h2>
<p>Handshake delivers benefits that help you feel supported &mdash; and thrive at work and in life.</p>
<p><i>The below benefits are for full-time US employees.</i></p>
<p><b>Ownership:</b> Equity in a fast-growing company</p>
<p><b>Financial Wellness:</b> 401(k) match, competitive compensation, financial coaching</p>
<p><b>Family Support:</b> Paid parental leave, fertility benefits, parental coaching</p>
<p><b>Wellbeing:</b> Medical, dental, and vision, mental health support, $500 wellness stipend</p>
<p><b>Growth:</b> $2,000 learning stipend, ongoing development</p>
<p><b>Remote &amp; Office:</b> Internet, commuting, and free lunch/gym in our SF office</p>
<p><b>Time Off:</b> Flexible PTO, 15 holidays + 2 flex days</p>
<p><b>Connection:</b> Team outings &amp; referral bonuses</p>
<p>Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.</p>
Compensation Range: $196K - $245K</div></div><p></p>

Director of Marketing, Enterprise AI

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</p><h3 class="jobSectionHeader"><b>
About the Company</b></h3><p>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.</p><p><b>
What you'll be doing</b></p><ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul><p><b>
Tech stack:</b> Python; data pipelines, APIs, ML/AI tooling</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader"><b>
Green Flags</b></h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader"><b>
Red Flags</b></h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader"><b>
Why Join</b></h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader"><b>
Details</b></h3><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site &mdash; strictly in-person</li><li><b>
Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li><b>
Visa sponsorship:</b> None available</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Strategic Projects Lead - Coding

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $180,000&ndash;$220,000 + competitive equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.</p><p><b>
What you'll be doing</b></p><ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul><p><b>
Tech stack:</b> Not specified</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $180,000&ndash;$220,000 + equity</li><li><b>
Visa sponsorship:</b> O-1, OPT</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Software Engineer, RL Environments

Miso Labs

<div><p>At Miso Labs, our goal is to pass the voice Turing test. In order to do so, we must move beyond the current STT-&gt;LLM-&gt;TTS paradigm, and train full-duplex speech-to-speech models. This requires exploring new architectural ideas, and scaling them rapidly.</p><p></p><p>
We&rsquo;ve raised a large seed round from top investors and are hiring our founding research team. We&rsquo;re a small team, so you can expect to work on every part of the model training stack from small-scale architecture experiments, to large pre-training runs on up to 1000 H100s. We are an in-person culture in San Francisco, and you will be expected to relocate to the SF area (we will cover the moving costs).</p><p></p><p>
It is important to us that team members get credit for their work. Outside of our core IP, researchers are encouraged to publish their work in conferences, and we are happy to sponsor travel to top conferences in AI/ML.</p><p></p><p>
Preferred Qualifications:</p><ul><li><p>
Have a Bachelor&rsquo;s Degree in a technical field (Computer Science, Physics, Mathematics etc.) or equivalent experience</p></li><li><p>
Excited to work on all aspects of model training and development</p></li><li><p>
Are comfortable with both research and hands-on engineering</p></li><li><p>
Are capable of owning long-term research outcomes end-to-end</p></li><li><p>
Willing to learn technical skills quickly, in a self-directed manner</p></li><li><p>
Prior experience with both PyTorch and CUDA</p></li></ul><p></p><p>
If you&rsquo;re interested in this role, please apply even if you don&rsquo;t fit all the qualifications. We&rsquo;re more interested in evidence of exceptional ability than prior experience in deep learning/AI.</p><p></p><p>
This role comes with full benefits including:</p><ul><li><p>
Healthcare, vision, and dental</p></li><li><p>
Stipend for gym</p></li><li><p>
Relocation bonus</p></li></ul><p>
Compensation Range: $400K - $500K</p></div>

Founding Researcher

Sares-Regis Group

<div>Overview:
<div><div><div><div><div><div><div><b>
We're Growing - Join Our Team Today!</b></div><div></div><div><b><br>
Sares Regis Group Residential of Newport Beach, California, is a privately held real estate development, investment and management firm that focuses on multifamily communities in the western U.S. Since its founding in 1993, SRG Residential has developed and acquired more than $7 billion in commercial and residential assets. The company manages a portfolio of approximately 42,000 apartment units.</b><br>
<br>
OPPORTUNITY: LEASING CONSULTANT - SAN FRANCISCO, CA</div><div></div><div><br>
**DAYS REQUIRED: FRIDAY-TUESDAY, 9AM-6PM**</div><div><br>
Sares Regis Group is seeking an experienced sales and customer service professional for our beautiful 115-unit community, 923 Folsom! This is an excellent opportunity for someone looking to grow their career in the property management industry!</div><div></div><div><br>
Duties include but aren't limited to:</div><div></div><ul><li><br>
Interviews prospective residents and records information to ascertain needs and qualifications. Inputs information into computer.</li><li>Accompanies prospects to model apartments and discusses size and layout of rooms, available facilities, such as swimming pool, location of shopping centers and freeways, services available, and terms of lease.</li><li>Qualifies prospective residents, verifying applications, lease documents and related paperwork. Updates records as necessary.</li><li>Completes lease form or agreement and collects rental deposit and application fee.</li><li>Introduces resident to apartment/property procedures.</li><li>Promotes positive, proactive resident relations, working to make the living experience, the first and last impression, of the highest quality.</li></ul><div></div><div><b><br>
QUALIFICATIONS</b></div><ul><li>
1 year of demonstrated sales and customer service experience a must.</li><li>
High school diploma or general education degree (GED); or one to three months related experience and/or training; or equivalent combination of education and experience.</li><li>
Ability to effectively present information and respond to questions from employees, managers, clients, customers, and the general public.</li><li>
Must be an effective listener and communicator with the ability to work well on a team.</li><li>
Ability to work weekends a must.</li></ul><div>
Salary range is $25.00-$28.00/hour. We offer a competitive compensation package that includes a 401(K) match, rental incentive and renewal compensation, bonuses, and rental discounts depending on location. Regular full-time employees who work between 30-40 hours a week are eligible for medical, dental, vision, other voluntary benefits and vacation accrual. Sick time accrual is provided in accordance with law.</div><div></div><div><br>
PLEASE APPLY ONLINE AT:</div><div>
SARES REGIS CAREERS WEBSITE</div><div></div><div><b><br>
EQUAL OPPORTUNITY EMPLOYER</b><br>
All positions contingent on completion of successful background screen and drug test.</div><div></div><div><br>
PM21</div></div></div></div></div></div></div></div><div></div>

Leasing Consultant

Ontrac Solutions

<div><h1 class="jobSectionHeader"><b>Overview</b></h1>
<p>We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.</p>
<p>The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>GenAI Architecture &amp; Production Readiness</b></h3>
<p>Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.</p>
<p>Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.</p>
<p>Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.</p>
<p>Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.</p>
<p>Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.</p>
<h3 class="jobSectionHeader"><b>Banking Use-Case Delivery</b></h3>
<p>Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.</p>
<p>Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.</p>
<p>Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.</p>
<p>Troubleshoot and resolve complex issues across non-production and production environments.</p>
<p>Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.</p>
<p>Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.</p>
<h3 class="jobSectionHeader"><b>Governance, Risk &amp; Compliance</b></h3>
<p>Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.</p>
<p>Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.</p>
<p>Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.</p>
<p>Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.</p>
<p>Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.</p>
<h3 class="jobSectionHeader"><b>Organizational Influence &amp; Mentorship</b></h3>
<p>Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.</p>
<p>Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.</p>
<p>Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.</p>
<p>Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.</p>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.</p>
<p>2+ years of hands-on Python programming experience.</p>
<p>2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.</p>
<p>2+ years of experience with LLMs, prompt engineering, and RAG architecture.</p>
<p>2+ years of experience with vector databases, semantic search, and retrieval systems.</p>
<p>2+ years of experience with API-driven, cloud-native architectures.</p>
<p>2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.</p>
<p>Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.</p>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<p>Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.</p>
<p>Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.</p>
<p>Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.</p>
<p>Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.</p>
<p>Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.</p>
<p>Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.</p>
<p>Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.</p>
<p>Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.</p>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.</p>
<p>This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</p></div>

Principal AI Engineer

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