intelligent systems engineer

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
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 Creating custom AI applications that will impact millions of citizens
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 Generating high-quality training data for national LLMs
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 Upskilling and advisory services to spread the impact of AI
 
 
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 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
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 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
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 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
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 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
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 What You Will Do
 
 
 
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 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
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 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
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 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
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 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
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 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
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 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
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 Ideally, You Have
 
 
 
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 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
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 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
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 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
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 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
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 </ul>
 
 Nice to Haves
 
 
 
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 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
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 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
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 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
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 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
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 </ul>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, Global Public Sector

Confidential

Role: : QA EngineerLocation: RemoteDuration: Long Term Contract Job Description:Overview:We are seeking a skilled  Quality Assurance (QA) Engineer with 3–7 years of experience in testing, QA, and reporting within the dynamic fields of Conversational AI and Agentic AI/LLMs. The ideal candidate will be passionate about ensuring the quality of cutting-edge AI systems, with a particular focus on conversational platforms, intelligent agents, and large language models (LLMs).  Mandatory Skills-Experience into any Manual and Automation testing.Experience into Conversational AI/ Chatbot.Experience into either Agentic AI or LLM (any one) Key Responsibilities:Develop and execute test cases, scripts, and procedures for both Conversational AI applications and Agentic AI/LLM systems. Collaborate with product managers, developers, and stakeholders to maintain quality standards throughout the product lifecycle. Conduct functional, regression, integration, and performance testing on Conversational AI platforms, agentic AI frameworks, and LLM-based solutions. Identify, document, and track defects using JIRA, providing detailed insights and reports on testing outcomes. Analyze business and technical requirements to design test strategies tailored to Conversational AI and Agentic AI/LLM use cases. Evaluate the usability, effectiveness, and scalability of AI-driven applications, offering actionable feedback. Generate comprehensive test reports and summaries for stakeholders, highlighting key findings and recommendations. Continuously improve QA methodologies to meet the evolving demands of Conversational AI and Agentic AI technologies.  Required Qualifications:3–7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs. Strong understanding of standard testing practices, methodologies, and tools for AI applications. Hands-on experience with JIRA for defect tracking and project management. Proficiency in Excel for data analysis and reporting. Knowledge of functional and non-functional testing, including performance and security testing. In-depth familiarity with LLMs, agentic AI systems, and conversational technologies. Proven ability to work effectively in cross-functional teams within fast-paced environments. Excellent problem-solving and analytical skills.  Desired Qualifications: Experience with automated testing tools and scripting languages. Exposure to natural language processing (NLP) testing and validation of intelligent agents. Familiarity with version control systems.  Personal Attributes:Exceptional attention to detail and a strong commitment to quality. Excellent communication skills, both written and verbal. Self-driven and motivated to innovate within the AI domain. Ability to prioritize and manage multiple tasks in a dynamic, fast-evolving environment

QA Engineer

Davidson Technologies, Inc.

<div>Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.
Davidson is seeking a results-driven Quality/Process Control Engineer in Huntsville, Alabama (Contingent upon award) to assess and improve manufacturing processes for electromechanical components.
You will be evaluating existing manufacturing processes, developing process control strategies, and ensuring that processes comply with industry specifications and regulations.
To ensure success, you should demonstrate extensive experience in optimizing control processes and specialization in a related field.
Your schedule will typically consist of four 10-hour shifts, allowing you to enjoy extended weekends for work-life balance. 
Quality/Process Control Engineer Responsibilities:<ul><li>
Experience with Engineering Drawings</li><li>
Conducting quality audits and documenting/tracking findings</li><li>
Experience with configuration management</li><li>
Root Cause/Corrective Action (RCCA) investigations and resolutions</li><li>
Knowledge of audit requirements [AS9100/ISO]</li><li>
Experience with equipment commissioning process</li><li>
Exhibits good communication, analytical, and organizational skills, within a fast-paced, collaborative team environment</li></ul> 
Tool Knowledge<ul><li>
Microsoft Suite</li></ul> 
Quality/Process Control Engineer Requirements:<ul><li>
Bachelor's degree in engineering, or in an industry-related field of specialization.</li><li>
Specialization in process control systems preferred.</li><li>
At least three years' experience in process control engineering in a related industry.</li><li>
Extensive industry-specific process control knowledge.</li><li>
Excellent leadership, collaboration, and communication skills.</li><li>
Superb analytical and strategic thinking abilities.</li><li>
Great organizational, time management, and record keeping skills.</li></ul> 
Clearance:<ul><li>
Must possess a DoD Secret Clearance &amp; be a U.S. Citizen</li></ul></div>

Quality/Process Control Engineer - Huntsville, Alabama

Intelligent Waves

<div>Overview:
<div><div>
Intelligent Waves is seeking a Data Storage Engineer (SME) to partner on a large enterprise IT contract for a Department of War (DoW) organization to support storage operations across multiple geographic locations. The Storage Engineer SME provides senior technical leadership for enterprise storage services within the organization's IT Department. This role architects, implements, and sustains highly available storage platforms supporting mission-critical I3TS workloads across primary, alternate, and regional environments. The engineer drives performance optimization, capacity planning, and resilient backup and recovery strategies to meet recovery objectives, continuity requirements, and operational service levels. This position ensures storage operations align with organizational and federal compliance requirements and coordinates closely with EOC, infrastructure, network, and security teams.</div><div></div><div> 
 Location: Fort Belvoir, VA 
✈️ Travel: None
️ Clearance Requirement: TS/SCI
 Compensation Range: $100,000-$109,000.00</div><div>
Intelligent Waves delivers mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network &amp; systems engineering, software development, and cognitive human performance.</div><div></div> 
ANYTIME. ANYWHERE. ANY DOMAIN.
Since 2006, we have proudly served federal agencies including the Department of Defense. Our ability to operate globally in a wide range of environments, coupled with our deep understanding of customer needs and requirements, enables us to provide cost-effective solutions to support the most complex missions.
Adherence to all customer site protocols is mandatory for employees.</div>
Responsibilities:
<div><div><div><div><div><div><h3 class="jobSectionHeader">Storage Administration</h3><ul><li>
Install, configure, and administer enterprise storage platforms including NetApp, PowerFlex, Quantum, and other vendor solutions</li><li>
Configure and manage volume snapshots and assist customers with point-in-time file restores</li><li>
Schedule and monitor volume replication processes to support disaster recovery operations</li><li>
Build and maintain capacity management dashboards to improve visibility into storage utilization, system health, resilience, and lifecycle planning</li></ul><h3 class="jobSectionHeader">
Backup &amp; Recovery</h3><ul><li>
Install, configure, and administer Rubrik server and client software</li><li>
Schedule, monitor, and maintain backup policies and recovery operations</li><li>
Generate backup and storage status reports as required</li><li>
Develop and implement Disaster Recovery (DR) and Continuity of Operations (COOP) plans in accordance with customer requirements</li></ul><h3 class="jobSectionHeader">
File Services &amp; Storage Integration</h3><ul><li>
Create, manage, and secure SMB file shares</li><li>
Coordinate with server administrators to create, secure, and mount NFS exports</li></ul><h3 class="jobSectionHeader">
Server Administration</h3><ul><li>
Install, configure, maintain, and administer Linux and Windows servers supporting storage operations, including Rubrik, Media, DSM, and Master servers</li></ul><h3 class="jobSectionHeader">
Change &amp; Maintenance Coordination</h3><ul><li>
Coordinate with Change Management teams to schedule and deconflict hardware maintenance, firmware upgrades, system updates, and configuration changes</li></ul></div></div></div></div><div>
</div></div></div>
Qualifications:
<div><div><div><div><div><div><div>
Education, Clearance &amp; Experience<ul><li>
Active TS/SCI clearance</li><li>
Bachelor&rsquo;s degree with 8&ndash;12 years of relevant experience, or Master&rsquo;s degree with 6&ndash;10 years of relevant experience; additional experience may be considered in lieu of a degree</li><li>
Extensive experience administering enterprise storage platforms, preferably including Dell Storage Center, Dell Compellent, and Data Domain</li></ul><h4 class="jobSectionHeader">
Storage Administration &amp; Engineering</h4><ul><li>
Strong SAN administration experience, including LUN provisioning, Fibre Channel zoning, and storage-to-server mapping</li><li>
Experience managing NAS environments, including NFS and SMB file sharing</li><li>
Experience integrating enterprise storage solutions with VMware ESX environments</li><li>
Knowledge of data migration strategies, snapshots, and volume replication technologies</li><li>
Experience managing file and share permissions within Active Directory environments</li><li>
Proficiency in storage monitoring, performance tuning, and capacity management</li><li>
Understanding of cloud storage management and related technologies</li></ul><h4 class="jobSectionHeader">
Backup, Recovery &amp; Systems Administration</h4><ul><li>
Extensive experience administering Veritas and Rubrik backup solutions</li><li>
Experience supporting Disaster Recovery (DR) and Continuity of Operations (COOP) storage backup and recovery solutions across data centers and cloud environments</li><li>
Working knowledge of Unix/Linux operating systems</li></ul><h4 class="jobSectionHeader">
Automation &amp; Technical Skills</h4><ul><li>
Experience with scripting and automation technologies such as PowerShell</li><li>
Ability to work independently in a 24/7/365 operational environment</li></ul><h4 class="jobSectionHeader">
Certifications</h4><ul><li>
Must meet DoD 8570.01 IAT Level II certification requirements (Security+ CE, CCNA Security, GSEC, SSCP, or equivalent) along with an applicable Computing Environment (CE) certification</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Industry certifications such as NetApp, EMC, or equivalent storage certifications</li><li>
Experience supporting enterprise backup and recovery operations across both on-premises and cloud environments</li></ul></div></div></div></div></div></div></div></div><div></div>

Data Storage Engineer (SME)

Smvsoft LLC

Founding Engineer - Applied AI San francisco, CA (Full time)- In-Office$180k-$230k per annumNO C2CAbout the RoleHiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.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.Key Responsibilities<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>RequirementsMust-Have<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>Nice-to-Have<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>Pay: $180,000.00 - $230,000.00 per yearWork Location: In person

Founding Engineer - Applied AI

Volga Partners

<div>Location 
Islamabad, Islamabad Capital Territory, Pakistan
Office Location 
House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly Salary 
PKR 250,000 - PKR 400,000 per month (commensurate with experience and technical expertise)
Work Setup: Hybrid<ul><li>
3 days in office</li><li>
2 days remote</li></ul>
Working Hours 
07:00 PM to 04:00 AM PKT 
About Volga Partners
Volga Partners is a global leader in Generative AI (GenAI) innovation, building intelligent systems, custom LLM applications, and advanced automation solutions for organizations worldwide. We design, develop, and deploy AI-powered technologies that help organizations solve complex business challenges across industries including finance, healthcare, legal, and technology.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners combines diverse expertise, innovation, and technical excellence to deliver impactful AI solutions at scale.
We are seeking an experienced AI &amp; Backend Engineer to help build and scale production-grade AI applications used by global clients. This role is ideal for engineers who have already worked on AI-powered solutions and are comfortable taking ownership of technical initiatives from architecture through deployment.
You will work directly with leadership, product teams, and engineering stakeholders to develop scalable backend systems, Retrieval-Augmented Generation (RAG) pipelines, LLM-powered applications, and intelligent automation solutions.
This role is designed for experienced engineers who can contribute independently and are seeking long-term growth, ownership, and exposure to cutting-edge AI technologies. 
Why Join Volga Partners<ul><li>
Build real-world AI applications used by global organizations.</li><li>
Work with modern LLM technologies and AI orchestration frameworks.</li><li>
Own projects from design through production deployment.</li><li>
Influence technical architecture and product direction.</li><li>
Collaborate directly with leadership and engineering teams.</li><li>
Join a growing organization focused on the future of Generative AI.</li></ul>
Key Responsibilities<ul><li>
Design and implement scalable backend services and microservices using Python and/or Node.js.</li><li>
Build and deploy production-ready AI solutions, including copilots, chatbots, and workflow automation systems.</li><li>
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Integrate and manage large language models, including OpenAI, Anthropic, and open-source models.</li><li>
Design secure, performant APIs and backend infrastructure.</li><li>
Process and structure enterprise data for AI workflows.</li><li>
Improve reliability, performance, latency, and cost efficiency of AI systems.</li><li>
Collaborate with product and engineering stakeholders to deliver quality solutions.</li></ul>
Qualifications
Required<ul><li>
4+ years of professional software engineering experience, with a documented track record of building and managing scalable backend architectures.</li><li>
At least 3 years of hands-on experience building AI or LLM-powered solutions into production environments.</li><li>
Demonstrated experience building and supporting scalable backend applications.</li><li>
Experience deploying AI or LLM-powered solutions into production environments.</li><li>
Strong proficiency in Python and/or JavaScript/TypeScript.</li><li>
Experience with RAG architectures, vector databases, embeddings, or AI orchestration frameworks.</li><li>
Experience working with APIs, cloud environments, and modern development practices.</li><li>
Ability to work independently and take ownership of technical solutions from design through deployment.</li></ul>
Preferred<ul><li>
Experience with OpenAI, Anthropic, LangChain, or LlamaIndex.</li><li>
Experience with Pinecone, Chroma, or other vector databases.</li><li>
AWS experience.</li><li>
Experience building agentic AI workflows or automation systems.</li><li>
Experience working with complex enterprise data environments.</li></ul>
Important
This is not an entry-level AI role. We are seeking engineers who have prior experience building AI-powered solutions and can contribute independently in a fast-paced environment with minimal supervision. 
What We Offer<ul><li>
Monthly salary of PKR 250,000 - PKR 400,000 based on experience and technical expertise.</li><li>
Opportunity to build and own production of AI applications used by global clients.</li><li>
Direct exposure to Generative AI, LLM systems, RAG frameworks, and intelligent automation solutions.</li><li>
High-impact role with visibility to leadership and influence over technical decisions.</li><li>
A collaborative and fast-paced environment focused on execution and innovation.</li><li>
90-day probationary period.</li></ul>
Benefits Eligibility
Upon successful completion of the statutory probationary period, employees become eligible for:<ul><li>
Company-sponsored medical insurance, subject to company policy.</li><li>
Paid Time Off (PTO) in accordance with the company's service-based PTO policy.</li><li>
Holiday pay for designated company-observed holidays, subject to company policy.</li><li>
Career growth opportunities, increased ownership, and continued professional development within a rapidly growing AI-focused organization.</li></ul></div>

AI & Backend Engineer - Production AI & LLM Systems | Pakistan

hatch IT

<div>hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role:

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
<h3 class="jobSectionHeader">
Responsibilities:</h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications:</h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div>Benefits:

Expression offers competitive salaries and benefits, such as:
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</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>

AI/ML Engineer

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