intelligent systems engineer

Mirage

<div><p>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone.<br>
<br>
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.</p><p><b><br>
More about us</b></p><p>
Product<b> </b>(Captions by Mirage)
</p><p>Research<b> </b>(Seeing Voices, technical-white-paper)</p><p>
Updates<b> </b>(Mirage on X / twitter)</p><p>
TechCrunch, Forbes AI 50, Fast Company (press)</p><p><b><br>
Our Investors</b></p><p>
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including <b>Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz,</b> <b>General Catalyst</b>, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.</p><p><i>
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
</i></p><p><b>About the Role</b><br>
Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.</p><p>
This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design and build end-to-end agentic systems for creative tasks</p></li><li><p>
Develop novel approaches for training and adapting the large language models that power these agents</p></li><li><p>
Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability</p></li><li><p>
Explore multimodal reasoning and structured generation for creative control</p></li><li><p>
Run systematic experiments to evaluate and improve agent performance in real-world tasks</p></li><li><p>
Design evaluation frameworks for agentic workflows in video analysis and editing</p></li><li><p>
Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements</p></li></ul><p><b>
What makes you a great fit</b></p><ul><li><p>
BS/MS/PhD in CS, ML, or related field</p></li><li><p>
Strong track record building production ML systems or agentic pipelines</p></li><li><p>
Deep understanding of transformers and modern LLM techniques</p></li><li><p>
Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use</p></li><li><p>
Comfort owning the full stack, from model-level experiments to deployed agent systems</p></li><li><p>
Strong experimental rigor and good taste for what makes agents actually work in practice</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><ul><li><p>
Comprehensive medical, dental, and vision plans</p></li><li><p>
401K with employer match</p></li><li><p>
Commuter Benefits</p></li><li><p>
Catered lunch multiple days per week</p></li><li><p>
Dinner stipend every night if you're working late and want a bite!
</p></li><li><p>Grubhub subscription</p></li><li><p>
Health &amp; Wellness Perks</p></li><li><p>
Multiple team offsites per year with team events every month</p></li><li><p>
Generous PTO policy</p></li></ul><p>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p><i>
Please note benefits apply to full time employees only.</i></p><p>
Compensation Range: $175K - $275K</p></div>

Research Engineer, Agentic Systems

VeeRteq Solutions Inc.

<div><p><b>Role:Azure Data / Search Engineer (Databricks / ElasticSearch / Python)</b></p>
<p><b>Experience: -</b> Min8+ Years</p>
<p><b>Location: -</b> Irving, TX (Hybrid 3 days Work from Office)</p>
<p></p><p>Looking for a strong <b>Azure Data Engineer / Senior Software Engineer</b> with strong expertise in <b>Python, Databricks, SQL, Elasticsearch, Kafka, and Azure</b>, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.</p>
<p><b>Roles and Responsibilities: -</b></p>
<p>Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.</p>
<p>This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.</p>
<p>The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.</p>
<p>The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.</p>
<p>Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.</p>
<p>Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms.</p>
<p></p><p>Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.</p>
<p>Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization. Participate in architecture, design reviews, code reviews, and production support.</p>
<p>Collaborate with product managers, architects, data scientists, and engineering teams.</p>
<p></p><p><b>Educational Qualifications: -</b></p>
<p>Engineering Degree BE/ME/BTech/MTech/BSc/MSc.</p>
<p>Technical certification in multiple technologies is desirable.</p>
<p></p><p><b>Skills: -</b></p>
<p><b>Mandatory skills</b></p>
<p>Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search</p>
<p>Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry</p>
<p>Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required</p>
<p>ExperienceMin 8+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs.</p>
<p>Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.</p>
<p>Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.</p>
<p></p><p><b>Preferred Qualifications:</b></p>
<p>Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.</p>
<p>Experience with machine learning integration. Experience with semantic search or vector search.</p>
<p>Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.</p>
<p></p><p><i>VeeRteq Solutions is an Equal Opportunity Employer</i></p></div>

Azure Data / Search Engineer

IT America Inc

<p><b>Data Engineer (Databricks)</b></p><p><i>Azure Databricks Environment</i></p><p><i>Austin, TX - Hybrid</i></p><p><b>General Information</b></p><p><b>Description:</b></p><p>The Databricks Data and AI Agent Automation Engineer is responsible for designing, developing, and deploying intelligent agents that automate data engineering development (dev) and quality assurance (QA) tasks within the Azure Databricks environment. This role bridges software engineering and data platform operations, leveraging AI/ML capabilities, prompt engineering, and low-code/no-code automation frameworks to accelerate platform development cycles, reduce manual toil, and improve code quality. The engineer will work closely with the Data Platform team to build, test, and operationalize agents that enhance developer productivity, streamline CI/CD pipelines, and automate governance and compliance checks.</p><p><b>Responsibilities</b></p><p>&middot; Design and implement intelligent agents (LLM-powered, rule-based, or hybrid) that automate data engineering workflows in Azure Databricks</p><p>&middot; Develop agents for automated code generation, refactoring, and optimization of PySpark and SQL workloads</p><p>&middot; Build agents that automate data quality validation, testing, and reconciliation tasks in dev and QA environments</p><p>&middot; Create agents for metadata management, lineage tracking, and governance automation within Databricks</p><p>&middot; Develop autonomous CI/CD pipeline tasks, including automated test case generation, deployment validation, and rollback logic</p><p>&middot; Implement agents that perform intelligent monitoring, anomaly detection, and root-cause analysis for data pipelines</p><p>&middot; Build prompt engineering frameworks and agent orchestration patterns tailored to data engineering use cases</p><p>&middot; Collaborate with data engineers and architects to identify high-impact automation opportunities and prioritize agent development roadmap</p><p>&middot; Establish best practices for agent development, testing, deployment, and observability within Azure Databricks</p><p>&middot; Document agent workflows, decision logic, and operational runbooks for team knowledge sharing</p><p>&middot; Evaluate emerging AI/agent frameworks and technologies; recommend adoption where applicable</p><p><b>Job Requirements</b></p><p><b>Education</b></p><p>&middot; Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (Master's preferred)</p><p><b>Experience</b></p><p>&middot; 5+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)</p><p>&middot; Proven experience developing automation solutions, agents, or AI-powered tools (e.g., using LLMs, prompt engineering, or orchestration frameworks like Databricks Agent Framework (or LangChain, AutoGen)</p><p>&middot; Strong proficiency in Python and SQL with focus on production-grade code quality</p><p>&middot; Demonstrated experience with Azure Databricks (notebooks, jobs, workflows, DLT) or equivalent modern data platforms</p><p>&middot; Hands-on experience with CI/CD/CT tools (GitHub Actions, Azure DevOps Pipelines) and automation frameworks</p><p>&middot; Experience building data quality frameworks, testing patterns, or QA automation</p><p>&middot; Prior work in regulated or risk-sensitive environments preferred</p><p><b>Skills &amp; Competencies</b></p><p>&middot; Expert-level Python programming with strong software engineering practices (testing, documentation, version control)</p><p>&middot; Strong SQL and PySpark optimization skills</p><p>&middot; Hands-on experience with LLM APIs, prompt engineering, and AI agent frameworks (e.g., Databricks Agent Bricks, LangChain, OpenAI, Azure OpenAI)</p><p>&middot; Proficiency in Azure Databricks, including Delta Lake, workflows, and Databricks Asset Bundles</p><p>&middot; Experience designing and implementing automation workflows using orchestration tools or serverless platforms</p><p>&middot; Strong problem-solving and systems thinking skills; ability to decompose complex workflows into automatable components</p><p>&middot; Excellent communication and documentation skills; ability to articulate technical concepts and agent design rationale</p><p>&middot; Self-directed learner with curiosity about emerging AI/automation technologies</p><p>&middot; Ability to collaborate effectively with cross-functional teams (data engineers, architects, QA, operations)</p><p>Pay: $65.00 - $70.00 per hour</p><p>Work Location: Hybrid remote in Austin, TX 78701</p>

Azure Data Engineer

Funko

<div><p><b>Funko Overview</b></p><p>
Welcome to the Funko-verse, a world built on pure imagination, a land governed by the philosophy that stories matter, a universe comprised of characters from countless fandoms, a galaxy of once upon a times and happily ever afters.</p><p><b>
But what does Funko do?</b></p><p>
Funko is a purveyor of pop culture and licensed-focused collectibles company. Funko currently holds thousands of licenses and the rights to create tens of thousands of characters &ndash; one of the largest portfolios in the pop culture and collectibles industry. Funko&rsquo;s Pop! Vinyl is the number one stylized vinyl collectible on the market, selling millions of figures to fans around the world.</p><p>
As the Sr. AI Engineer, you will lead the design, development, and operationalization of AI-powered applications, intelligent automation, and agentic solutions across Funko's enterprise technology landscape. Working closely with Digital Technology, Product, Data, and Business teams, you will translate business opportunities into secure, scalable, and production-ready AI solutions that improve employee productivity, streamline business processes, and create innovative customer experiences.</p><p>
This is a hands-on technical leadership role responsible for building enterprise AI capabilities while establishing engineering best practices, reusable components, and AI development standards that enable responsible AI adoption across the organization.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Design, develop, and deploy enterprise AI solutions that solve complex business challenges and improve operational efficiency.</li><li>
Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering, and modern orchestration frameworks.</li><li>
Design and implement intelligent workflows, agentic architectures, and automation solutions that integrate with enterprise business systems.</li><li>
Develop production-grade AI applications using Python, APIs, cloud-native services, and modern AI development frameworks.</li><li>
Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources.</li><li>
Build and orchestrate AI agents using modern frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, n8n, or similar technologies.</li><li>
Integrate AI capabilities into enterprise platforms including Salesforce, Shopify, D365 ERP, Snowflake, AWS, Microsoft 365, and other business applications.</li><li>
Leverage Model Context Protocol (MCP) and modern tool integration patterns to securely connect AI agents with enterprise systems and workflows.</li><li>
Develop AI-powered automation that streamlines software development, business processes, documentation, and operational workflows.</li><li>
Evaluate and optimize AI applications for quality, reliability, latency, cost, safety, and production readiness.</li><li>
Implement AI observability, monitoring, evaluation, and guardrails to ensure secure and reliable production AI systems.</li><li>
Design human-in-the-loop workflows that appropriately balance automation, governance, and business controls.</li><li>
Collaborate with Product Managers, Software Engineers, Data Engineers, Security teams, and business stakeholders to identify, prioritize, and deliver high-value AI use cases.</li><li>
Serve as the technical lead for enterprise AI initiatives by establishing engineering best practices, evaluating emerging AI technologies, and creating reusable AI patterns that accelerate adoption across the organization.</li><li>
Mentor engineers through technical leadership, code reviews, and collaborative problem solving while helping grow AI engineering capabilities across Digital Technology.</li><li>
Stay current on emerging AI technologies and recommend practical innovations that create measurable business value.</li></ul><p><b>
What You&rsquo;ll Bring</b></p><ul><li>
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; advanced degree is a plus.</li><li>
8+ years of professional software engineering experience, including at least 3+ years designing, building, and deploying production AI, machine learning, intelligent automation, or generative AI solutions in enterprise environments.</li><li>
Strong experience designing, building, and deploying AI-powered applications in production environments.</li><li>
Hands-on experience with Large Language Models (LLMs), AI agents, orchestration frameworks, prompt engineering, and agentic architectures.</li><li>
Strong proficiency in Python and experience developing scalable APIs and cloud-native applications.</li><li>
Experience integrating AI capabilities into enterprise applications, APIs, and business processes.</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, semantic search, enterprise knowledge retrieval, and modern AI application patterns.</li><li>
Experience building intelligent automation and AI-driven workflow solutions.</li><li>
Experience evaluating and optimizing AI systems for performance, reliability, safety, and production deployment.</li><li>
Understanding of AI governance, security, privacy, scalability, and responsible AI best practices.</li><li>
Experience leading technical initiatives, mentoring engineers, conducting code reviews, and working within Agile software development teams.</li><li>
Strong communication, collaboration, analytical, and problem-solving skills with the ability to translate business challenges into practical AI solutions.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Experience with enterprise AI platforms or coding assistants such as ChatGPT Enterprise/Codex, Cursor, Claude Code, GitHub Copilot, Bugbot, or similar tools.</li><li>
Experience designing governed data access models for AI, including semantic-layer, API, MCP, or tool-based control plane approaches.</li><li>
Familiarity with Snowflake, DBT, Airflow, AWS, and enterprise identity and access patterns such as Entra/Azure AD role mapping and audit controls.</li><li>
Experience implementing AI observability, evaluation frameworks, prompt testing, guardrails, and production monitoring.</li><li>
Experience building multi-agent AI systems and agentic workflows.</li><li>
Experience integrating multiple foundation models such as OpenAI, Anthropic Claude, Gemini, or open-source models into enterprise applications.</li><li>
Experience with conversational analytics, business-data AI pilots, or other AI use cases where trusted data and bounded actions are critical to adoption.</li><li>
Experience integrating AI with enterprise platforms such as Salesforce, Shopify, D365 ERP, Microsoft 365, ServiceNow, or similar SaaS ecosystems.</li><li>
Experience with CI/CD pipelines, DevOps, infrastructure-as-code, containerization, and modern AI deployment practices.</li><li>
Experience building AI solutions in retail, eCommerce, consumer products, manufacturing, or other enterprise business environments.</li></ul><p><b>
How This Role Operates</b></p><ul><li>
Build production-ready AI solutions that solve meaningful business problems.</li><li>
Partner closely with Digital Technology and business stakeholders to identify and prioritize AI opportunities.</li><li>
Lead hands-on software engineering while establishing reusable AI patterns, frameworks, and engineering standards.</li><li>
Evaluate emerging AI technologies and recommend practical adoption strategies based on business value.</li><li>
Mentor engineers and foster AI engineering best practices across the organization.</li><li>
Balance innovation with security, governance, scalability, and operational excellence.</li></ul><p><b>
How Success is Measured</b></p><ul><li>
Delivery of production-ready AI solutions that create measurable business value.</li><li>
Increased employee productivity through AI-powered automation and intelligent workflows.</li><li>
Successful adoption of enterprise AI capabilities across business and technology teams.</li><li>
Establishment of reusable AI engineering standards, frameworks, and components.</li><li>
Secure, scalable, reliable, and governed AI implementations.</li><li>
Continuous improvement of AI capabilities through innovation, engineering excellence, and measurable business outcomes.</li></ul><p><b>
Why This Role Matters</b></p><p>
AI represents a transformational opportunity for Funko to enhance employee productivity, improve business operations, accelerate software development, and create innovative customer experiences.<br>
The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into practical, scalable business capabilities by building production-ready AI applications, intelligent automation, and enterprise integrations that deliver measurable value across the organization.</p><p><b>
Salary Information
</b></p><p>The base salary range for this position in the selected city is $151,500- $181,500 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.</p><p><b>
What Funko Offers
</b></p><p>Funko offers a competitive compensation package with full benefits and a 401(K) plan with matching contributions from the company. Most importantly, we offer a creative work environment with people who love pop culture just as much as you do. Can&rsquo;t wait to gush about your latest binge? Neither can we! Looking for a place where your favorite pop culture t-shirt will receive the compliments it deserves? We know how you feel!<br>
<br>
Funko is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.</p><p><b>
Work Environment
</b></p><p>The noise level in the work environment is usually moderate. While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is frequently required to reach with hands and arms. The employee is occasionally required to stand and walk. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.</p><p><i>
This onsite position is based in our Burbank, CA or Everett, WA offices. Local candidates will be considered first.</i></p></div>

Sr. AI Engineer

Shield AI

<div><div><div>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI&rsquo;s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.</div><div></div><h3 class="jobSectionHeader"><b><br>
Job Description:</b></h3>
<div>
<p>As a Software Systems Test Engineer, you will be pivotal in driving integration testing of our full aircraft software system, integrating our autonomy, flight controller, and GCS software to qualify an intelligent, robust aircraft system. This role demands an engineer capable of overseeing system-level verification and validation, designing complex test scenarios, and ensuring that subsystem testing meets rigorous standards before proceeding to full system integration. You will marshal our aircraft software through full system verification &amp; validation. Your work will directly impact the reliability and performance of our aircraft, preparing them for operational excellence in the field.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>What you'll do:</b></h3><div><div><div>
<ul><li>Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software.</li>
<li>Participate in design reviews for new features and design detailed test plans based on their requirements</li>
<li>Conduct and manage system verification and validation events, culminating in verified flight readiness.</li>
<li>Write test analyzers in Python to report and benchmark performance and qualification metrics of the system</li>
<li>Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements</li>
<li>Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flight</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Required qualifications:</b></h3><div><div><div>
<ul><li>10+ years of work experience in testing complex integrated software systems</li>
<li>Demonstrated expertise &amp; experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing</li>
<li>Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems</li>
<li>Great understanding of system architecture, requirement derivation, and test planning across the V-model</li>
<li>Experience with automating test cases in an existing test framework</li>
<li>Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures</li>
<li>Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment</li>
<li>B.S., M.S, or PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred qualifications:</b></h3><div><div><div>
<ul><li>Experience with autonomous or robotic systems</li>
<li>Experience with simulation software and hardware emulation</li>
<li>Background in a fast-paced, R&amp;D or startup environment</li>
<li>Proficiency in build test automation</li>
<li>Proficiency in Python or C++</li>
</ul></div></div></div></div></div><div><div>$180,000 - $270,000 a year</div><div>
#LI-SM1</div>
<div>#LE</div></div>
<div><div>Full-time regular employee offer package:</div>
<div>Pay within range listed + Bonus + Benefits + Equity</div>
<div></div>
<div>Temporary employee offer package:</div>
<div>Pay within range listed above + temporary benefits package (applicable after 60 days of employment)</div>
<div></div>
<div>Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.</div>
<div></div>
<div>###</div>
<div></div>
<div>Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Staff Engineer, Systems Test (R5430)

Apple

<p>At Apple, creative ideas grow into extraordinary products, services, and user experiences. As AI continues to unlock entirely new device capabilities, building the next generation of intelligent system experiences starts with understanding the context of the user.<br>
<br>
The Intelligence Platform Data Foundations team builds the data modeling, persistence, and synchronization infrastructure that brings personalization to intelligent experiences across iPhone, Mac, Apple Watch, Vision Pro, and more.<br>
<br>
This is your opportunity to design the foundational systems powering features like Spotlight Search, Siri, and Apple Intelligence by integrating the user's personal context while fiercely protecting their privacy. If you love working at the intersection of high-performance systems and real customer impact, we'd love to meet you.<br>
<br>
<b>Description</b><br>
<br>
You will design, build, and optimize the data persistence and synchronization systems that bring personalized context to Apple Intelligence across every Apple device while keeping that data private and on device. You'll work across the Apple OS stack, from low-level storage and system frameworks up to the experiences customers touch every day, solving large-scale indexing and processing problems where performance, memory, and battery all matter.<br>
<br>
You'll partner closely with machine learning and feature teams to bring named entities and user-interaction signals into the platform, championing strong-typing best practices and Apple's exceptionally high bar for user privacy along the way.<br>
<br>
As a senior member of the team, you will take end-to-end ownership of critical components of the platform, from initial design through long-term maintenance and evolution. You will propose and drive new designs and architectures that shape the platform's technical direction, and provide design guidance and technical expertise to partner engineering teams across the company. You will also help modernize how we build - raising the bar for engineering and code-review practices and automating them with the latest agentic coding tools.<br>
<br>
To succeed, you'll be a strong systems and backend engineer and a creative problem solver who thrives in a fast-paced, collaborative environment, enjoys learning across domains, and takes pride in shipping reliable code that runs on the devices millions of people rely on.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and optimize on-device data persistence and synchronization systems spanning iOS, macOS, visionOS, watchOS, and tvOS.<br>
<br>
Solve large-scale indexing and data-processing problems with performant, resource-efficient solutions across the full stack.<br>
<br>
Partner with machine learning and feature teams to onboard named entities and user-behavior data streams into the platform.<br>
<br>
Champion strong-typing best practices and enforce Apple's high bar for user privacy across every layer of the data platform.<br>
<br>
Diagnose and resolve correctness, performance, and reliability issues with foundational system services in a distributed, multi-device environment.<br>
<br>
Provide design guidance and technical expertise to partner engineering teams across the company.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience building database or search integrations.<br>
<br>
Experience with distributed systems and data synchronization across devices or nodes.<br>
<br>
Familiarity with machine learning concepts and experience collaborating with ML teams.<br>
<br>
Experience with performance profiling and tracing tools.<br>
<br>
Experience with macOS or iOS development.<br>
<br>
Familiarity with data serialization formats and schema/strong-typing design.<br>
<br>
Passion for building privacy-preserving, high-performance foundational technologies underlying intelligent system experiences.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
B.S. or M.S. in Computer Science, or equivalent experience.<br>
<br>
Expertise in at least one compiled language (C/C++/Objective-C, Swift, Go, Java, Rust, etc.)<br>
<br>
Extensive experience with backend and systems-level programming<br>
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Demonstrated experience building production data infrastructure such as databases, storage, serialization, or synchronization systems.<br>
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Strong skills in concurrency and multi-threaded software design.<br>
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Ability to write reliable, resilient, performant, and well-tested code.<br>
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Strong problem-solving, debugging, and technical communication skills.<br>
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Experience delivering production software within large engineering projects.<br>
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<b>Pay &amp; Benefits</b><br>
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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 $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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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<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Software Engineer - Intelligence Platform Data Foundations, Proactive

Dechert LLP

<p></p><div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div><b>ESSENTIAL JOB FUNCTIONS:</b>
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div><b>SKILLS:</b>
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div><b>INTERESTS:</b>
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div><b>EDUCATION AND EXPERIENCE:</b>
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

AI Engineer

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