ai software engineer

Jaseci Labs

AI Software Engineer - Jaseci LabsAbout UsWe're a cutting-edge AI technology company partnering with enterprise clients to deliver production-grade GenAI solutions. Our high talent-density team comprises Professors and Ph.D.s from University of Michigan and other universities to develop innovative production-grade software that serves millions of users and creates substantial business value.We&rsquo;re building in the open and pushing the frontier of agentic AI. As the creators of the Jaseci ecosystem and the Jac programming language (https://www.jaseci.org/), we&rsquo;re redefining how developers build intelligent systems&mdash;bringing AI, orchestration, and application logic into a single unified stack. Our open-source platform is used to rapidly prototype and deploy scalable, production-grade AI agents, and we&rsquo;re actively shaping a new paradigm for AI-native software development.Position OverviewWe're seeking talented AI Software Engineers to join our team in Ann Arbor and Detroit, Michigan. As an AI Software Engineer, you'll help develop and deploy advanced AI systems for enterprise clients like Ally Bank, contributing to open-source technology while working in a collaborative environment with industry experts and academic leaders.Key Responsibilities<ul><li>Design, develop, and deploy production-grade AI software systems</li><li>Collaborate with enterprise customers to understand requirements and deliver solutions that scale to millions of users</li><li>Work alongside academic and industry leaders in the AI space, including professors and Ph.D.s from the University of Michigan</li><li>Implement cutting-edge GenAI technologies into usable, scalable applications</li><li>Help create solutions that generate millions of dollars in value for enterprise customers</li></ul>Qualifications<ul><li>Strong programming skills (Python, JavaScript, or similar languages)</li><li>Experience with tools and open-source AI/ML models like Hugging Face, OpenAI API, or LangChain</li><li>Experience in AI/ML model training and evaluation: training data preparation and evaluation for ML models</li><li>Familiarity with model quantization and fine-tuning techniques like LoRA or prompt tuning is preferred</li><li>Experience with building software with GenAI models is required</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and collaboration abilities. Experience working in enterprises is preferred.</li><li>Eagerness to learn and adapt to emerging technologies</li></ul>For Internship Candidates<ul><li>Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, or related field</li><li>Basic understanding of AI concepts and programming fundamentals</li><li>We offer a clear intern-to-full-time pathway for exceptional performers</li></ul>For Full-Time Candidates<ul><li>Undergraduate or graduate degree in Computer Science, Data Science, or related field</li><li>Previous experience with AI/ML projects or coursework</li><li>Software development experience</li></ul>What We Offer<ul><li>Opportunity to work on AI systems that solve real-world problems for enterprise clients</li><li>Mentorship from industry professionals and University of Michigan faculty</li><li>Collaborative environment with leading AI researchers and engineers</li><li>In-person office in downtown Ann Arbor and Detroit.</li><li>Tremendous career growth opportunities in a rapidly evolving field</li><li>Competitive compensation and benefits</li></ul>Join us in developing the next generation of AI solutions that transform how enterprises operate and serve their customers!Job Type: Full-timePay: $60,000.00 - $115,000.00 per yearWork Location: Hybrid remote in Detroit, MI 48226

AI Software Engineer

Advansys Intelligent Solutions

<div>
 
 About The Role
 
 
 
 We are seeking an experienced
 
 AI Software Engineer
 
 to lead the development of intelligent software solutions across our industrial applications. This role bridges modern AI technologies (LLMs, predictive analytics, edge AI) with scalable software engineering practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with Development Managers to identify AI/ML opportunities
 </li>
 <li>
 Conduct feasibility studies for AI-enhanced system upgrades
 </li>
 <li>
 Design scalable, microservices-based software architectures
 </li>
 <li>
 Architect AI inference systems optimized for cloud deployment
 </li>
 <li>
 Design and implement Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Develop predictive maintenance models using sensor data
 </li>
 <li>
 Implement real-time anomaly detection solutions
 </li>
 <li>
 Contribute to digital twin and energy optimization initiatives
 </li>
 <li>
 Write secure, clean, and production-grade code
 </li>
 <li>
 Review code with focus on AI safety, performance, and scalability
 </li>
 <li>
 Manage project timelines and deliverables
 </li>
 <li>
 Document AI model behavior, limitations, and system architecture
 </li>
 <li>
 Train staff on AI-assisted workflows and system usage
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or related field
 </li>
 <li>
 3-7 years of professional software development experience
 </li>
 <li>
 Strong expertise in Object-Oriented Design, Microservices architecture, and scalable system design
 </li>
 <li>
 Advanced programming skills in Python (preferred) plus one of: Node.js, Java, or C#
 </li>
 <li>
 Hands-on experience integrating AI/ML models into production systems
 </li>
 <li>
 Experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
 </li>
 <li>
 Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Familiarity with AI frameworks such as LangChain, Semantic Kernel, TensorFlow, or PyTorch
 </li>
 <li>
 Experience with SQL (SQL Server or PostgreSQL) and vector databases (ChromaDB, Pinecone, or pgvector)
 </li>
 <li>
 Cloud deployment experience (Azure AI Studio, Azure Cognitive Services, or AWS Bedrock)
 </li>
 <li>
 Knowledge of CI/CD pipelines, Git, and Agile methodologies
 </li>
 <li>
 Experience conducting code reviews and mentoring developers
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Annual bonus
 </li>
 <li>
 Health insurance and wellness programs
 </li>
 <li>
 Professional development and training opportunities
 </li>
 </ul>
</div>

<div>About the Role
We are seeking an experienced AI Software Engineer to lead the development of intelligent software solutions across our industrial applications. This role bridges modern AI technologies (LLMs, predictive analytics, edge AI) with scalable software engineering practices.
Key Responsibilities<ul><li>
Collaborate with Development Managers to identify AI/ML opportunities
</li><li>Conduct feasibility studies for AI-enhanced system upgrades
</li><li>Design scalable, microservices-based software architectures
</li><li>Architect AI inference systems optimized for cloud deployment
</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines
</li><li>Develop predictive maintenance models using sensor data
</li><li>Implement real-time anomaly detection solutions
</li><li>Contribute to digital twin and energy optimization initiatives
</li><li>Write secure, clean, and production-grade code
</li><li>Review code with focus on AI safety, performance, and scalability
</li><li>Manage project timelines and deliverables
</li><li>Document AI model behavior, limitations, and system architecture
</li>Train staff on AI-assisted workflows and system usage 
<li>
</li></ul> 
 
Requirements 
<ul><li><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Artificial Intelligence, or related field
</li><li>3&ndash;7 years of professional software development experience
</li><li>Strong expertise in Object-Oriented Design, Microservices architecture, and scalable system design
</li><li>Advanced programming skills in Python (preferred) plus one of: Node.js, Java, or C#
</li><li>Hands-on experience integrating AI/ML models into production systems
</li><li>Experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
</li><li>Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines
</li><li>Familiarity with AI frameworks such as LangChain, Semantic Kernel, TensorFlow, or PyTorch
</li><li>Experience with SQL (SQL Server or PostgreSQL) and vector databases (ChromaDB, Pinecone, or pgvector)
</li><li>Cloud deployment experience (Azure AI Studio, Azure Cognitive Services, or AWS Bedrock)
</li><li>Knowledge of CI/CD pipelines, Git, and Agile methodologies
</li><li>Experience conducting code reviews and mentoring developers
</li><li>Strong analytical, problem-solving, and communication skills</li></ul></li></ul> 

Benefits 
<ul><li>
Annual bonus
</li></ul><ul><li>Health insurance and wellness programs
</li><li>Professional development and training opportunities</li></ul></div>

Streamline Healthcare Solutions

<div>Job Description:
About Streamline Healthcare Solutions
Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar.
Streamline&rsquo;s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation&rsquo;s premier behavioral health organizations using the latest web-based technology.
Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry.
Summary of the Lead AI Software Engineer
This senior-level role focuses on designing and delivering AI/ML solutions for the healthcare industry&mdash;spanning LLM-powered applications, retrieval-augmented generation (RAG), and predictive models. You will co-design AI solutions with the AI Architect and own product-level design and end-to-end implementation (data pipelines, training/fine-tuning, evaluation &amp; guardrails, deployment, and monitoring) within enterprise standards. The role is Azure-first and requires hands-on experience with OpenAI or Anthropic models, Microsoft Copilot, GitHub Copilot, and strong competence with SQL Server (SSMS) and Visual Studio. A commitment to HIPAA-compliant handling of PHI, Responsible AI, and measurable clinical and business outcomes is essential. Healthcare domain experience&mdash;either clinical or revenue cycle management&mdash;is required.
This position is remote and based in the United States. The salary range is $150,000 - $200,000, DOE. Employment visa sponsorship is not available for this role.
Responsibilities of the Lead AI Software Engineer
<ul><li>Co-design AI solutions with the AI Architect and own product-level solutioning and delivery within enterprise AI architecture, standards, and governance.
</li><li>Lead end-to-end implementation for your product/squad:
<ul><li>RAG over EHR/claims/clinical text using embeddings and vector search.
</li><li>Model development and training/fine-tuning (LLMs and classical ML), evaluation frameworks, and guardrails (hallucination reduction, safety, PII/PHI handling).
</li><li>Production deployment with containerization/orchestration, and GPU-aware inference where applicable.
</li></ul></li><li>Establish and operate MLOps: experiment tracking and model registry, CI/CD for ML, canary/A/B testing, and monitoring for latency, accuracy, drift, bias, and cost.
</li><li>Own reliability, security, and cost for your product&rsquo;s AI services: define SLOs, participate in on-call/incident response, manage token/GPU budgets, and optimize prompts, embeddings, caching, and indexing.
</li><li>Build and maintain data pipelines (e.g., Spark/Databricks or equivalent) and ensure robust SQL Server performance and data quality; collaborate with DBAs and data engineers using SSMS.
</li><li>Ensure HIPAA compliance and Responsible AI practices across development and operations; partner with security and compliance to meet policy requirements.
</li><li>Collaborate with product management, domain experts, and compliance to translate requirements into safe, reliable, high-impact AI services.
</li><li>Conduct reviews emphasizing code quality, experiment rigor, reproducibility, and evaluation discipline; mentor engineers and data scientists.
</li><li>Participate in architecture reviews; propose improvements and contribute reusable components (RAG templates, evaluation harnesses) back to the shared AI platform.
</li><li>Leverage Microsoft Copilot and GitHub Copilot to improve developer productivity, code quality, and documentation, aligning with organizational governance.
</li></ul>Education and Experience Requirements for the Lead AI Software Engineer
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field.
</li><li>Healthcare domain experience: either clinical (e.g., care delivery, clinical documentation, quality) or revenue cycle management (e.g., coding, claims, denials, prior auth).
</li><li>10+ years in software engineering; 5+ years building and shipping ML/AI solutions; 2+ years leading AI/ML initiatives or teams.
</li><li>Azure AI Foundry (Azure AI Studio) knowledge for developing, evaluating, and operationalizing LLM solutions; familiarity with Azure AI resources and deployment patterns.
</li><li>Proficiency with SQL Server Management Studio (SSMS) for SQL development, performance tuning, and troubleshooting; strong T-SQL fundamentals.
</li><li>Proficiency with Visual Studio and experience integrating AI services into .NET/C# applications or services where needed.
</li><li>Hands-on experience using OpenAI or Anthropic models (e.g., GPT-4.x/4o, Claude 3.x), including prompt engineering, function/tool calling, and evaluation.
</li><li>Experience with Microsoft Copilot and GitHub Copilot in professional workflows (coding assistance, test generation, documentation) with awareness of usage policies and data boundaries.
</li><li>Strong Python and ML ecosystem: PyTorch/TensorFlow, transformers/Hugging Face, embeddings, LLM orchestration (e.g., LangChain or LlamaIndex), and vector databases (e.g., FAISS, Azure AI Search, Pinecone).
</li><li>MLOps: MLflow/W&amp;B (or equivalent), Docker, Kubernetes, CI/CD for ML, model registries, monitoring (drift, performance, bias), A/B testing, and rollback strategies.
</li><li>Cloud AI on Azure (preferred): Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, with solid understanding of IAM, secrets, and encryption.
</li><li>Demonstrated security, privacy, and compliance competence: HIPAA, PHI/PII handling and de-identification (e.g., Presidio), Responsible AI practices.
</li><li>Excellent communication and cross-functional collaboration, including with clinical stakeholders and compliance teams.
</li></ul>Preferred Education and Experience Requirements for the Lead AI Software Engineer
<ul><li>Experience with FHIR and HL7 data standards; clinical NLP (entity extraction, summarization, coding/RCM use cases); and/or medical imaging (DICOM).
</li><li>Databricks (Delta Lake, Spark), Airflow (or similar orchestration), and Azure-native data services (e.g., Data Factory, Synapse).
</li><li>GPU/CUDA experience; inference optimization (quantization, distillation); prompt/token budgeting and caching strategies for LLM workloads.
</li><li>Governance &amp; ethics: model cards, datasheets for datasets, bias/fairness evaluations, and red-teaming.
</li><li>Familiarity with .NET microservices and API design to integrate AI services into enterprise systems. 
</li></ul> 
Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.</div>

Lead AI Software Engineer

Litera

<div>
 
 Job Description
 
 
 
 
 
 Join the Legal Tech Revolution at Litera
 
 
 
 
 Are you ready to shape the future of how law is practiced? At Litera, we&rsquo;re on a mission to Raise The Bar&trade;️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We&rsquo;ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world&rsquo;s largest law firms as our clients. If you&rsquo;re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that&rsquo;s elevating the craft of law.
 
 
 As part of our strategic growth and commitment to fostering collaboration and operational excellence, we are transitioning to a hybrid working model.
 
 
 This position is based in Denver, Colorado and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week. This hybrid approach enables us to build a collaborative and innovative work environment while maintaining the flexibility that supports both productivity and work-life balance. We are actively seeking talented individuals to join our team in this exciting new phase of growth.
 
 
 
 Available Office Locations: Denver, Colorado
 
 
 
 
 
 The Opportunity:
 
 
 
 
 The Generative AI Innovation team is transforming the way Litera and its clients leverage their data for competitive advantage. As an AI Engineer on this team, you will consult and collaborate with numerous engineering and non-engineering teams at Litera to design and develop GenAI features and solutions for both our market products and internal processes. You will function as a company GenAI expert, helping Litera to fully leverage the ever-expanding capabilities of this set of technologies. This is your chance to be a key member of a pioneering team with a market leading company.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Collaborate with Litera development teams to design and develop innovative GenAI -based products and features.
 </li>
 <li>
 Collaborate with non-engineering teams at Litera to leverage GenAI technologies and techniques to help develop solutions that improve the internal processes at the company.
 </li>
 <li>
 Research, evaluate, and document new technologies as they appear on the market.
 </li>
 <li>
 Function as a source for expert level knowledge of generative AI and other new technologies.
 </li>
 <li>
 Socialize new technologies throughout the company.
 </li>
 <li>
 Function as an evangelist for leveraging GenAI to responsibly benefit the company and our clients.
 </li>
 <li>
 Coach and mentor both developers and others to help develop GenAI skills and knowledge.
 </li>
 <li>
 Write clean, maintainable code that is extensible with minimum number of defects.
 </li>
 <li>
 Collaborate with cross-functional teams (PM, QA) to complete tasks.
 </li>
 <li>
 Manage individual task priorities, estimates, deadlines, and deliverables.
 </li>
 <li>
 Demonstrate knowledge of software and security best practices (i.e., object oriented design patterns, OWASP Top 10, SOLID design principles).
 </li>
 <li>
 Perform other duties as assigned
 
 
 </li>
 </ul>
 
 
 Role progression:
 
 
 
 
 
 Within 1 month, you will:
 
 
 
 <ul>
 <li>
 Complete our Engineering onboarding plan.
 </li>
 <li>
 Establish relationships with members of the GenAI innovation team.
 </li>
 <li>
 Become familiar with Litera product offerings.
 </li>
 <li>
 Begin technology research tasks.
 
 
 </li>
 </ul>
 
 Within 3 months, you will:
 
 
 
 <ul>
 <li>
 Collaborate with team members on development tasks.
 </li>
 <li>
 Produce documentation and evaluation of new technologies and their potential value for Litera.
 </li>
 <li>
 Communicate with other groups in the organization to evaluate the possibility of leveraging GenAI to address current process challenges and inefficiencies.
 
 
 </li>
 </ul>
 
 Within 6 months, you will:
 
 
 
 <ul>
 <li>
 Collaborate with other team members to design and develop robust features and products using GenAI and other new technologies.
 </li>
 <li>
 Translate product and feature ideas into technical designs and development tasks.
 </li>
 <li>
 Conduct sessions and webinars to disseminate new technology knowledge throughout the Engineering department.
 </li>
 <li>
 Define new opportunities for leveraging GenAI to improve Litera products and organizational processes.
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 3+ years of software development experience with strong competence in backend development
 
 
 1+ years of ML/AI development experience including competence with:
 
 
 <ul>
 <li>
 Large Language Models
 </li>
 <li>
 Prompt Engineering
 </li>
 <li>
 LLM fine-tuning
 </li>
 <li>
 Embeddings/vectorization/semantic similarity
 </li>
 <li>
 RAG
 
 
 </li>
 </ul>
 3+ years of experience with the following technologies:
 
 
 <ul>
 <li>
 .NET/.NET Core, ASP.NET Core, Web/REST APIs
 </li>
 <li>
 Python, ideally with LangChain/LangGraph
 
 
 </li>
 </ul>
 2+ years of experience with the following technologies:
 
 
 <ul>
 <li>
 SQL Azure (preferred) or SQL Server
 </li>
 <li>
 PostgreSQL (preferred)
 </li>
 <li>
 Unit testing frameworks (i.e., Unknit, MSTest)
 </li>
 <li>
 2+ years of experience with the following tools:
 </li>
 <li>
 GitHub
 </li>
 <li>
 Jira / Confluence
 </li>
 <li>
 Microsoft Visual Studio Code (preferred) or Microsoft Visual Studio
 
 
 </li>
 </ul>
 Preferred skills/experience include:
 
 
 <ul>
 <li>
 Experience with PyTorch, TensorFlow, scikit-learn
 </li>
 <li>
 Competence with random forest, histogram gradient modeling
 </li>
 <li>
 Experience with semantic agent development using Semantic Kernel and/or
 </li>
 <li>
 Competence using GitHub Copilot
 
 
 </li>
 </ul>
 Education in Computer Science or Software Engineering (or related experience)
 
 
 Strong visioning and problem solving skills
 
 
 Independent thinker, collaborative teammate
 
 
 Excellent at multi-tasking and able to handle competing priorities
 
 
 
 
 Why Join Litera?
 
 
 
 
 <ul>
 <li>
 The company culture: We emphasize helping each other grow, doing the right thing always, and being part of a journey to amplify impact, creating an exciting and fulfilling work environment
 </li>
 <li>
 Commitment to Employees: Our people commitment is based on what employees love most about being part of the team, focusing on tools that matter to the difference-makers in the legal world and amplifying their impact
 </li>
 <li>
 Global, Dynamic, and Diverse Team: Our is a global company with ambitious goals and unlimited opportunities, offering a dynamic and diverse work environment where employees can grow, listen, empathize, and problem-solve together
 </li>
 <li>
 Comprehensive Benefits Package: Experience peace of mind with our health insurance, retirement savings plans, generous paid time off, and a supportive work life balance. We invest in your well-being and future, ensuring a rewarding career journey.
 </li>
 <li>
 Career Growth and Development: We provide career paths and opportunities for professional development, allowing employees to progress through various technical and leadership roles
 
 
 </li>
 </ul>
 
 Pay Transparency Notice for Location(s) Applicants:
 
 
 
 The annual salary range for this position is $125,000 to $170,000. Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications. Litera offers a comprehensive benefits package including health, dental, and vision insurance, 401(k) with company contribution, and incentive and recognition programs. All benefits are subject to eligibility requirements.
 
 
 Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
</div>

Boeing

<div>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Senior Machine Learning / AI Software Engineer to join the Special Projects Dallas (SPD) P-8A Advanced Airborne Sensor (AAS) Software Engineering team located in Richardson, TX. This position will focus on supporting the Boeing Defense, Space &amp; Security (BDS) business organization.
The Boeing Company in Richardson, TX is looking for a Senior Machine Learning / Artificial Intelligence Software Engineer to design, develop, document, and deploy robust, ethical, and scalable AI/ML solutions for aerospace systems. The role requires hands-on ownership across the ML lifecycle: data collection and preprocessing, model design and training, verification and validation, safety risk management, production integration, and ongoing monitoring and improvement. The successful candidate will collaborate closely with cross-functional teams and domain experts, apply best-practice engineering and testing methodologies, and stay current with emerging tools, frameworks, and regulatory/ethical considerations in support for the P-8A Advanced Airborne Sensor (AAS) Mission Systems contracts.
Position Responsibilities:<ul><li>
Design and implement appropriate AI/ML algorithms and models using standard methods and tools, with attention to ethical implications and potential biases.</li><li>
Oversee the collection, cleaning, preprocessing and analysis of large datasets to ensure data quality, reliability and identification of patterns, trends, and insights.</li><li>
Train, evaluate, and optimize model performance, generalization, and computational efficiency.</li><li>
Test, document, debug, and validate AI/ML models and associated software systems following engineering standards.</li><li>
Consult on training, evaluation and optimization of performance and capabilities of Artificial Intelligence models</li><li>
Oversee Safety Risk Management processes for Artificial Intelligence models in accordance with organizational standards.</li><li>
Provide subject matter expertise on integration and deployment of standard efficient and scalable Artificial Intelligence models into production environments.</li><li>
Oversee monitoring, validation and improvement of standard in production Artificial Intelligence models.</li><li>
Consult and collaborates with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms.</li><li>
Influence current and emerging technologies, tools, frameworks, and regulations in the Artificial Intelligence environment and contributes to Artificial Design Practice(s).</li><li>
Research, prototype, and adopt current and emerging technologies, tools, frameworks, and regulatory guidance relevant to AI/ML and aerospace applications.</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
Bachelor&rsquo;s Degree in an engineering discipline or 24 years equivalent related experience</li><li>
Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and common data tooling (e.g., pandas, NumPy).</li><li>
Experience with data engineering tasks: data collection, cleaning, preprocessing, feature engineering, and working with large-scale datasets.</li><li>
Solid understanding of ML fundamentals: supervised and unsupervised learning, deep learning, model evaluation metrics, regularization, and hyperparameter tuning.</li><li>
Hands-on experience building end-to-end ML solutions from data ingestion through production deployment and maintenance.</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
Master&rsquo;s degree or higher in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent experience)</li><li>
Significant experience designing and deploying ML systems in production, preferably in regulated domains.</li><li>
Strong knowledge of ML algorithms (supervised, unsupervised, deep learning), model evaluation, and optimization techniques.</li><li>
Proficiency with data engineering: cleaning, feature engineering, and working with large-scale datasets.</li><li>
Experience with ML frameworks and tooling (e.g., TensorFlow, PyTorch, scikit-learn), containerization, CI/CD, and cloud or on-prem deployment pipelines.</li><li>
Experience with GPU utilization</li><li>
Experience with real-time requirements regarding computational efficiency</li><li>
Familiarity with safety engineering processes, risk assessment, and methods to assess and mitigate model bias and ethical risk.</li><li>
Excellent coding skills in relevant languages (e.g., Python, C++/Java as applicable), and software engineering best practices (testing, documentation, version control).</li><li>
Strong communication and collaboration skills; ability to work across cross-functional teams and present technical results to stakeholders.</li></ul>
Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Travel:
Occasional travel may be required but would be less than 10%.
CodeVue Coding Challenge:
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Pay &amp; Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range: $273,700 - $370,300 
Applications for this position will be accepted until Mar. 26, 2026 
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
This position offers relocation based on candidate eligibility.
Security Clearance
This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</div>

Senior Machine Learning / AI Software Engineer

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

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