applied ai engineer

NVIDIA

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

Applied AI Engineer

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data integration. 
 
The focus of this role is the advancement of AI capabilities in the IT Service Management (ITSM) space. The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business teams to deliver scalable, intelligent solutions using Databricks and Azure. 
 
Come join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Key Responsibilities:<ul><li>
Contribute to software projects emphasizing AI systems in VSCode/Pycharm, GitHub, and Databricks.</li><li>
Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure Kubernetes Service.</li><li>
Maintain and extend internal APIs, SDKs, and clients that support our projects.</li><li>
Actively participate in architecting software and cloud solutions.</li><li>
Communicate clearly with adjacent teams and stakeholders and manage expectations.</li></ul>
Why Join Us:<ul><li>
Work on high-impact AI and ML projects with real enterprise data.</li><li>
Collaborative team environment.</li><li>
Exposure to cutting-edge tools and technologies.</li><li>
Opportunity to contribute to strategic initiatives with visibility across the organization.</li></ul><h1 class="jobSectionHeader"> 
Use your skills to make an impact 

</h1>Required Qualifications:<ul><li>
3+ years of strong, hands-on experience with Python.</li><li>
Comfort thinking in terms of engineering systems, not coding scripts.</li><li>
Familiarity with Databricks (including Unity Catalog, MLflow, and notebooks).</li><li>
Strong experience with GitHub (commits, pull requests, integrations).</li><li>
Ability to lead technical walkthroughs and articulate design decisions.</li><li>
Experience deploying apps, servers, or ML models in a production setting.</li></ul>
Preferred Qualifications:<ul><li>
Experience creating CICD workflows in GitHub and/or ADO.</li><li>
Familiarity with ServiceNow data models.</li><li>
Familiarity with RAG architecture, vector databases, or agentic orchestration.</li><li>
Familiarity with developing APIs and clients. Bonus points for MCP experience.</li><li>
JavaScript familiarity.</li><li>
Excellent communication skills.</li></ul>
Additional Notes:<ul><li>
An active GitHub is required and will be requested if selected to move forward.</li><li>
Selected candidates may be asked to complete a small take-home assessment prior to being interviewed and may be asked to do a project walkthrough and pair programming in the interview.</li><li>
This is an advanced engineering role requiring a very technical skillset. Candidates with hands-on experience building, deploying, and supporting AI solutions and software will be most successful in this position.</li></ul>
Work Style:
This position's work style is remote from any of the locations listed below. You must reside in close proximity to one of these locations.
Market Location Options:<ul><li>
Louisville, KY</li><li>
Dallas/Frisco, TX</li><li>
Washington, DC (Arlington, VA)</li><li>
Fort Lauderdale, FL</li><li>
Tampa, FL</li><li>
Atlanta, GA</li><li>
Charlotte, NC</li><li>
Chicago, IL</li><li>
Nashville, TN</li></ul>
Work at Home Requirements To ensure Home or Hybrid Home/Office employees&rsquo; ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Senior Applied AI Engineer

Apple

Imagine building AI infrastructure at Apple - systems that power how products are made, how engineers think, and ultimately how hundreds of millions of people experience technology every day. 
 
Here is your opportunity to join an engineering team moving Apple's algorithms programs into the AI era. We are developing AI systems that enhance the way engineers work by incorporating human judgment and integrating with data and tools. Our aim is to seamlessly incorporate AI into our processes. 
 
We are looking for a software engineer who thrives at the intersection of data systems, AI tooling, and developer experience. You'll design and build platforms that connect AI to the deep organizational context it needs to be genuinely useful - and put those capabilities directly into the hands of the engineers shipping Apple's next-generation sensing technologies. Some of what you build will power internal workflows; some may evolve into products and tools that reach far beyond our team. 
 
Description 
 
You will work alongside machine learning scientists, algorithm engineers, hardware teams, designers, and human factors researchers to build the AI-native platforms and data systems that accelerate how Apple ships its next generation of devices. We're a small, high-impact group with an ambitious roadmap - you'll have outsized influence on the architecture and direction of what we build. 
 
The algorithms behind Apple's most beloved features span software, hardware, and design - and the AI infrastructure you build will serve all of them. You'll be at the center of a uniquely cross-functional environment where world-class talent in each discipline depends on the platforms you create to move faster and make better decisions. The best ideas here have a way of starting as internal tools and growing into something bigger - you'll help shape that trajectory. 
 
You might have built a chatbot that needed to reason over internal docs, designed an agent that orchestrated multi-step tool calls, or created a pipeline that turned unstructured data into searchable knowledge. What matters is that you've gone beyond tutorials - you've shipped AI-powered tools that real users depend on.&quot;,&quot;responsibilities&quot;:&quot;Build novel AI-powered platforms that fundamentally change how engineers explore, analyze, and act on complex program data 
 
Design data infrastructure that brings together diverse knowledge sources - making the right context available to AI and engineers at the right time, with appropriate access controls 
 
Create reproducible analysis workflows with full provenance tracking, so that AI-generated insights can be trusted, iterated on, and shared across disciplines 
 
Develop agentic pipelines that automate multi-step research and analysis while keeping engineers in the loop to steer and validate 
 
Build infrastructure for continuous, automated intelligence - from CI-integrated analysis to background monitoring that surfaces what matters 
 
Design collaboration systems that help cross-functional teams (SW, HW, Design, Human Factors) accumulate and leverage shared institutional knowledge 
 
Partner with algorithm teams shipping features for iPhone, Apple Watch, iPad, and future products to understand their data challenges and deliver tooling that compounds in value over time 
 
Preferred Qualifications 
 
Experience building macOS or iOS client applications 
 
Background in workflow orchestration, experiment tracking, or reproducibility tooling 
 
Experience designing data models, storage layers, or integration APIs for complex domains 
 
Experience integrating LLMs with external tools and APIs (tool-use patterns, MCP, function calling) or building custom integrations between LLMs and external systems 
 
Familiarity with access-controlled or policy-aware data systems 
 
Experience with vector databases or embedding pipelines (Pinecone, Chroma, pgvector, or similar) 
 
Track record building developer tools, CLIs, or internal platforms that engineers rely on daily 
 
Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) or self-hosted model serving 
 
Contributions to open-source projects in AI/ML infrastructure 
 
Comfort navigating large, established codebases and shipping iteratively within them 
 
Minimum Qualifications 
 
3+ years of software engineering experience 
 
Proficiency in Python and at least one of: Swift, TypeScript, or another systems-level language 
 
Experience designing and building backend services, data pipelines, or platform infrastructure 
 
Hands-on experience building with modern AI/agent frameworks 
 
Strong software architecture and API design sensibilities - you think in systems, not scripts 
 
Experience building retrieval pipelines (RAG, embeddings, vector search) or knowledge retrieval systems 
 
Strong communicator who works effectively across disciplines 
 
Experience evaluating and iterating on AI system outputs - you've built evaluation pipelines, measured quality, and know that shipping AI means shipping feedback loops 
 
Sharp problem-solving instincts and a bias toward shipping 
 
BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Jadeer

<div><h2 class="jobSectionHeader">About the Role</h2>
We are looking for an Applied AI Engineer to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
This is an AI-first engineering role, where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and deploy AI-powered applications using LLMs.</li><li>
Build and optimize RAG and GraphRAG pipelines.</li><li>
Develop AI agents and multi-agent workflows for business automation.</li><li>
Design and manage knowledge graphs using GraphDB technologies.</li><li>
Integrate enterprise data sources with AI applications.</li><li>
Engineer prompts, workflows, and agent orchestration for reliable AI systems.</li><li>
Evaluate and optimize AI models for quality, latency, scalability, and cost.</li><li>
Build production-ready APIs and AI services.</li><li>
Collaborate with cross-functional teams to deliver AI-driven products.</li><li>
Stay up to date with the latest AI models, frameworks, and best practices.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.</li><li>
3+ years of experience developing AI-powered or data-intensive applications.</li><li>
Strong proficiency in Python.</li><li>
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).</li><li>
Experience implementing Retrieval-Augmented Generation (RAG).</li><li>
Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.</li><li>
Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.</li><li>
Experience integrating AI models through APIs and SDKs.</li><li>
Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).</li><li>
Strong analytical, debugging, and problem-solving skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with GraphRAG architectures.</li><li>
Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.</li><li>
Experience with Model Context Protocol (MCP).</li><li>
Prompt engineering and AI evaluation frameworks.</li><li>
Knowledge of semantic search and hybrid retrieval.</li><li>
Experience with FastAPI, Django, or Flask.</li><li>
Familiarity with Kubernetes, CI/CD pipelines, and microservices.</li><li>
Experience building knowledge graphs and ontology design.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Opportunity to build cutting-edge AI products.</li><li>
Collaborative and innovative engineering environment.</li><li>
Exposure to the latest AI technologies and frameworks.</li><li>
Professional growth and continuous learning opportunities.</li><li>
Competitive salary and benefits package.</li></ul><h2 class="jobSectionHeader">
Join Our Team</h2>
If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!</div>

Applied AI Engineer (AI-First / Vibe Coding)

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

SpaceX

<div><div>SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.</div>
APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX &ndash; we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems&mdash;including large language models and agentic systems&mdash;that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required &ndash; rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:
<ul>
<li>Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations</li>
<li>Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities</li>
<li>Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production</li>
<li>Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions</li>
<li>Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment</li>
<li>Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost</li>
<li>Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree</li>
<li>1+ years of experience in full stack development</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>Hands-on experience evaluating, deploying, and integrating AI models into production systems</li>
<li>Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features</li>
<li>Proven track record of shipping real-world AI products from prototype through production deployment and iteration</li>
<li>Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs</li>
<li>Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)</li>
<li>Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment</li>
<li>Previous experience in AI product design, development, integration, testing, and productionization</li>
<li>Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code</li>
<li>Programming experience in Python, C#.NET, Go, Scala, Java, or similar</li>
<li>Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)</li>
<li>Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)</li>
<li>Demonstrated ability to stay current with rapidly evolving AI technologies and best practices</li>
<li>Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>You may be asked to work extended hours/weekends dependent on launch cadence</li>
<li>This role requires you to be onsite. Remote and/or hybrid work will not be considered</li>
<li>Ability to pass Air Force background check for Cape Canaveral</li>
</ul><div>
ITAR REQUIREMENTS:
<ul>
<li>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</li>
</ul>
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.</div></div>

Application Software Engineer, Applied AI

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

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