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Biohub

<div><div><p>Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.</p></div><h2 class="jobSectionHeader"><b>
The Team</b></h2>
<p>
The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.</p>
<p>
Our Vision</p>
<ul>
<li>We pursue large scientific challenges that cannot be pursued in conventional environments</li>
<li>We enable individual investigators to pursue their riskiest and most innovative ideas</li>
<li>The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond</li>
</ul>
<p>Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.</p>
<h2 class="jobSectionHeader"><b>
The Opportunity</b></h2>
<p>
We are seeking an R&amp;D Engineer to support the deployment, operation, and continuous improvement of an advanced automated laboratory platform. This role is responsible for ensuring reliable execution of complex workflows through the integration of robotics, instrumentation, and control systems.</p>
<p>
You will play a key role in building and maintaining the infrastructure that enables scalable and efficient experimental operations.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Develop scalable, modular automation architectures to support evolving experimental needs across multiple hardware platforms</li>
<li>Partner with computational teams to enable closed-loop / data-driven experimentation</li>
<li>Evaluate and support installation, configuration, and integration of laboratory automation systems and instrumentation</li>
<li>Optimize high-throughput experimental pipelines</li>
<li>Program and coordinate robotic systems and instrument control software</li>
<li>Perform routine maintenance, calibration, and validation of equipment</li>
<li>Implement real-time monitoring and logging systems for workflow performance and data quality</li>
<li>Monitor system reliability and implement improvements to increase efficiency and uptime</li>
<li>Troubleshoot hardware and workflow issues to ensure consistent system performance</li>
<li>Collaborate with scientific teams to translate experimental needs into automated processes</li>
<li>Provide technical support and training to users of the platform</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2>
<ul><li>BS or MS in Mechanical Engineering, Electrical Engineering, Bioengineering, Robotics, or a related field</li>
<li>Hands-on experience with laboratory automation systems, robotics, or complex instrumentation</li>
<li>Experience with hardware integration and control systems</li>
<li>Programming or scripting experience (e.g., Python or vendor-specific platforms)</li>
<li>Strong troubleshooting skills and attention to detail</li>
<li>Ability to manage and maintain complex systems in a dynamic environment</li>
<li>Effective communication skills and a collaborative mindset</li>
<li>Strong problem-solving skills and a systems-level mindset</li>
<li>Interest in data-driven experimentation and automated platforms</li>
</ul><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<p>
The Chicago, IL base pay range for a new hire in this role is $130,000 - $163,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.</p>
<p>
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.</p>
<h2 class="jobSectionHeader"><b>
Better Together</b></h2>
<p>
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be onsite for at least 100% of the working month, approximately 5 days a week.</p>
<h2 class="jobSectionHeader"><b>
Benefits for the Whole You</b></h2>
<p>
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.</p>
<ul>
<li>Provides a generous employer match on employee 401(k) contributions to support planning for the future.</li>
<li>Paid time off to volunteer at an organization of your choice.</li>
<li>Funding for select family-forming benefits.</li>
<li>Relocation support for employees who need assistance moving</li>
</ul>
<p>If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.</p>
<p>
#LI-Onsite</p></div>

R&D Engineer, Laboratory Automation & Robotics

The Hartford

<div>Data Engineer - GE08AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>The Hartford is seeking an Applied AI Engineer within EB Applied AI and Analytics to define, build, deploy, and sustain enterprise-scale applied AI solutions with significant business impact. This role carries accountability for complex, multi-domain AI systems in production and serves as a technical authority and strategic problem solver across the applied AI portfolio, while remaining hands-on with critical components.</p><p><b>
Team Description</b></p><p>
The Employee Benefits Applied AI and Analytics (EB AIA) team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB AIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agentic AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design, build, and maintain AI components and data pipelines that support applied AI use cases</p></li><li><p>
Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference</p></li><li><p>
Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices</p></li><li><p>
Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs</p></li><li><p>
Support deployment, monitoring, and maintenance of AI services and workflows in production environments</p></li><li><p>
Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability</p></li><li><p>
Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases</p></li><li><p>
Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
3&ndash;6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, IT, MIS, or a related discipline</p></li><li><p>
Working experience with Python and SQL</p></li><li><p>
Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines</p></li><li><p>
Exposure to deploying applications or data workflows in AWS, Azure, or GCP</p></li><li><p>
Ability to work effectively within defined architectural, security, and engineering</p></li></ul><p><i>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
</i></p><p><i>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</i></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI/ML Engineer, EB Applied AI and Analytics

Ahead

<div><div>AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.</div>
<div></div>
<div>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</div>
<div></div>
<div>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</div>
<div></div>
<div><b><i>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</i></b></div><div></div><div><b><br>
LAUNCH &ndash; Join AHEAD's Associate Development Program</b></div>
<div></div>
<div>Our Mission: to attract and develop a diverse community of THE top IT consulting talent in the country and build AHEAD&rsquo;s next generation of leaders.</div>
<div></div>
<div>LAUNCH serves as the foundation to develop our talent into high potential leaders at AHEAD. By exposing you to a variety of career paths and building your acumen across different practices in the business, we&rsquo;re accelerating your growth and career trajectory at AHEAD.
</div>
<div></div><div>Our development program is built on a foundation of technical training, completion of certifications, and shadowing, all supported by an ecosystem of AHEADians that will be part of your Launch journey, every step of the way! You&rsquo;ll grow and develop key skills that will support your development as a technical and consulting expert. If you&rsquo;re ready to begin an exciting career in IT Consulting, LAUNCH is where you should be!</div>
<div></div>
<div><b>Associate AI Engineer</b></div>
<div>(Internally known as an Associate Technical Consultant)</div>
<div></div>
<div>As an Associate Engineer in LAUNCH, you will start out in a 3-month training program within our Digital Solutions Group (DSG) practice focused on AI solutions. Upon completion of LAUNCH, you will have the opportunity to work on client projects based on skillset, personal interest, and business needs.</div>
<h3 class="jobSectionHeader"><b>Who we&rsquo;re looking for: Think Big, Learn, and Be Curious
</b></h3><ul><li>Innovative Thinkers</li>
<li>Enthusiastic Collaborators</li>
<li>Creative Problem Solvers</li>
<li>Curious Self &ndash; Starters</li>
</ul><h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul>
<li>Ability to communicate effectively across teams, and build positive relationships</li>
<li>Demonstrate ability to work on teams, collaborate on projects, and contribute to the overall successful delivery of projects</li>
<li>Demonstrate drive and proactiveness to get things done, be solutions&ndash;oriented, and enjoy solving complex problems</li>
<li>Demonstrate resourcefulness, curiosity, creativity, courage, critical thinking, and a desire to use technology to search for new and innovative solutions to problems</li>
<li>Exercise sound reasoning, ingenuity, and inclusive perspectives to analyze issues, solve problems and make recommendations</li>
<li>Ability to execute, manage competing priorities, and deliver to deadlines</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><ul>
<li>Working knowledge of AI/ML fundamentals, including model types (transformers, embeddings, diffusion), data pipelines, and inference workflows</li>
<li>Proficiency in Python, with exposure to frameworks such as FastAPI, Flask</li>
<li>Familiarity with GenAI tooling (OpenAI, Anthropic, Gemini, etc.) and vector stores (Pinecone, FAISS, Weaviate)</li>
<li>Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)</li>
<li>Understanding of MLOps concepts&mdash;version control (Git, DVC), CI/CD, observability, and deployment best practices</li>
<li>Experience in at least one of the following:</li>
<li>Academic or personal AI/ML projects</li>
<li>Internship or co-op in software or data engineering</li>
<li>Technical bootcamp or certificate program in AI, ML, or cloud computing</li>
<li>Certifications such as AWS Cloud Practitioner, Microsoft MS-900, or GCP Cloud Engineer are a plus</li>
<li>Excellent communication, teamwork, and problem-solving abilities</li>
<li>U.S. work authorization required
</li></ul><h3 class="jobSectionHeader"><b>Experience in at least one of the below:</b></h3><ul>
<li>Graduated with a degree in technical discipline by 6/8/26</li>
<li>Prior intern, co-op, or research experience in IT, software, or relevant field is a plus</li>
<li>Successful completion in a technical&ndash;related bootcamp</li>
</ul><div>We are unable to consider candidates who require visa sponsorship for this role.</div><div></div><div><i><br>
The compensation range indicated in this posting reflects the On-Target Earnings (&ldquo;OTE&rdquo;) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate&rsquo;s relevant experience, qualifications, and geographic location.</i></div>
<div></div>
<div><b>Why AHEAD:</b></div>
<div></div>
<div>Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.</div>
<div></div>
<div>We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.</div>
<div></div>
<div><b>USA Employment Benefits include:</b></div>
<ul><li>Medical, Dental, and Vision Insurance</li></ul>
<ul><li>401(k)</li></ul>
<ul><li>Paid company holidays</li></ul>
<ul><li>Paid time off</li></ul>
<ul><li>Paid parental and caregiver leave</li></ul>
<ul><li>Plus more! See benefits https://www.aheadbenefits.com/ for additional details.</li></ul>
<div></div>
<div><b>Use of AI:</b></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.</div>
<div></div>
<div>If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com.</div>
<div></div>
<div>You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.</p></div>

Associate AI Engineer

<div>Sr Data Engineer - GE07BE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise.<br>
<br>
We are looking for talent who embraces our core values:<br>
<br>
<b>Solution-Oriented:</b> We build solutions, not just models, focusing on end-to-end business problems and systems design.<br>
<b>Trust and Transparency:</b> We collaborate closely with partners, mindful of their capacity to absorb change.<br>
<b>Reliability:</b> Our products come with full monitoring solutions to ensure they deliver as expected.<br>
<b>Influence through Humility:</b> We listen carefully to our customers and become partners in problem-solving.<br>
<b>Practical and Evolutionary:</b> We deliver minimally viable products first and expand their sophistication over time based on feedback.<br>
<br>
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.<br>
<br>
<b>Responsibilities:</b><br>
<br>
Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.</p><p>
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
</p><p>Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.</p><p>
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.</p><p>
Develop and promote best practices in AI, ML, and data engineering across teams.</p><p>
Architect and design end-to-end solutions at a component level.</p><p>
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.</p><p>
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.</p><p>
Provide technical mentorship and career growth opportunities for team members.</p><p>
Review work of systems-level engineers to calibrate deliverables against project and business expectations.</p><p><br>
<br>
<b>Qualifications:</b></p><ul><li><p><br>
Bachelor's degree in Computer Science, Computer Engineering, or a technical field.</p></li><li><p>
8+ years building and shipping software and/or platform solutions for enterprises.
</p></li><li><p>Programming experience with Python is preferred.</p></li></ul><ul><li><p>
3+ years of experience with Terraform.</p></li><li><p>
Experience building libraries, frameworks or platforms used across multiple teams is a plus.</p></li><li><p>
Proven experience with Google Cloud Platform (GCP).</p></li><li><p>
Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.</p></li><li><p>
Proven experience in working with other cloud providers such as AWS cloud is a plus.</p></li><li><p>
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.</p></li><li><p>
Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.</p></li><li><p>
Knowledge of distributed NoSQL database systems and data engineering, ETL technology.</p></li><li><p>
Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.</p></li></ul><ul><li><p>
Experience with IR, vector embedding, and Hybrid/Semantic search technologies.</p></li><li><p>
Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.</p></li><li><p>
Experience with embeddings, ANN/KNN, vector stores, database optimization, &amp; performance tuning is a plus.</p></li><li><p>
Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.</p></li><li><p>
Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.</p></li><li><p>
Foundational understanding of Natural Language Processing and Deep Learning.</p></li><li><p>
Excellent problem-solving skills and the ability to work in a collaborative team environment.</p></li><li><p>
Excellent communication skills.</p></li></ul><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$117,200 - $175,800<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI Platform Engineer (Google Cloud Platform)

Hudson Manpower

<div><p><b>Job Overview:</b></p><p>
We are seeking a highly skilled <b>Senior Generative AI Engineer</b> with a strong background in <b>.NET technologies</b> and <b>AI/ML</b>. The ideal candidate will have hands-on experience building and deploying <b>Generative AI solutions</b>, working with <b>LLMs</b>, and designing scalable applications using modern architectures.<br>
<br>
<b>Employment Type:</b> W2 Only<br>
<b>Work Authorization:</b> US Citizens Only</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Develop and deploy Generative AI solutions, including PoCs, MVPs, and production-grade applications</li><li>
Design and implement <b>RAG (Retrieval-Augmented Generation)</b> based solutions</li><li>
Build and manage <b>agentic AI workflows</b> using modern frameworks</li><li>
Work on real-world <b>application scenario-based problem solving</b></li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li></ul><p><b><br>
Technical Skills Required:</b></p><p><b>
Core Technologies:</b></p><ul><li>
.NET Core</li><li>
Microservices Architecture</li><li>
Web API Development</li><li>
AWS &amp; Azure</li></ul><p><b><br>
AI / Generative AI Skills:</b></p><ul><li>
Strong foundation in <b>AI, Machine Learning, and Deep Learning</b></li><li>
Hands-on experience with <b>Generative AI (GenAI)</b></li></ul><p><b><br>
Programming &amp; Tools:</b></p><ul><li>
Proficiency in <b>Python</b></li><li>
Experience with:<ul><li>
Hugging Face</li><li>
LangChain</li><li>
OpenAI APIs</li></ul></li></ul><p><b><br>
LLM Expertise:</b></p><ul><li>
Experience building, fine-tuning, evaluating, and deploying <b>Large Language Models (LLMs)</b></li><li>
Exposure to both <b>open-source and commercial LLMs</b></li></ul><p><b><br>
Agentic AI &amp; Workflow Orchestration:</b></p><ul><li>
Experience with frameworks such as:<ul><li>
LangGraph</li><li>
CrewAI</li><li>
OpenAI Agents</li></ul></li></ul><p><b><br>
Additional Skills:</b></p><ul><li>
Experience working with <b>multi-modal data</b></li><li>
Familiarity with <b>intelligent agent-based systems</b></li></ul></div>

Generative AI/ML Engineer (.NET Focus) - USC/GC/GC-EAD || W2 Role

Applied Machine Learning Engineer – ML & AI Systems

Allied Benefit Systems

<div>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 The Software Engineer I is responsible for maintaining and developing software applications. This position will also be responsible for problem solving, coding, debugging, testing, and troubleshooting through the application development process. This role requires technical expertise and gives you the opportunity to engineer systems and build reliable and secure services for healthcare.
 <br/>
 <br/>
 <strong>
  Essential Functions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work in an agile environment
  </li>
  <li>
   Contribute to success of project by completing daily scrum tasks.
  </li>
  <li>
   Design, develop, test and release software changes and enhancements.
  </li>
  <li>
   Maintain TDD to improve quality and support CI/CD.
  </li>
  <li>
   Work closely with QA to help build out automation tests.
  </li>
  <li>
   Meet Allied&rsquo;s expectations for productivity, quality, and goal accomplishment.
  </li>
  <li>
   Work closely with managers to complete assigned tasks.
  </li>
  <li>
   Adhere to, and apply all applicable privacy and security laws, including but not limited to HIPAA, HITECH and any regulations promulgated thereto.
  </li>
  <li>
   Attend continuing education classes as required, including but not limited to HIPAA training.
  </li>
  <li>
   Other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  EDUCATION
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS degree in Computer Science, Information Systems, OR equivalent degree or equivalent work experience required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2 to 4 years&rsquo; experience developing software using Microsoft&rsquo;s platform
  </li>
  <li>
   Strong understanding of SOLID and OOP
  </li>
  <li>
   Ability to collaborate well with team members
  </li>
  <li>
   Understanding of SDLC lifecycle
  </li>
  <li>
   Extensive experience coding in C#, ASP.NET/MVC, Web APIs, WCF
  </li>
  <li>
   Experience with SQL Server Development &ndash; creating and modifying stored procedures
  </li>
  <li>
   Excellent ability to debug and troubleshoot all areas of the technology stack
  </li>
  <li>
   Experience maintaining RESTful APIs
  </li>
  <li>
   Maintain high standards of data quality and integrity
  </li>
  <li>
   Excellent verbal and written communication skills
  </li>
  <li>
   Exposure to Agile Development Methodology
  </li>
  <li>
   Familiarity with Azure or AWS cloud environments
  </li>
  <li>
   Familiarity with Joget
  </li>
  <li>
   Familiarity with legacy systems like VB6 and classic ASP
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  POSITION COMPETENCIES
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Accountability
  </li>
  <li>
   Analytical Problem Solving
  </li>
  <li>
   Collaboration
  </li>
  <li>
   Execution and Delivery
  </li>
  <li>
   Quality and Risk Management
  </li>
  <li>
   Systems Thinking
  </li>
  <li>
   Technical/Functional Expertise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  PHYSICAL DEMANDS
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is an office environment requiring extended sitting and computer work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WORK ENVIRONMENT
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Remote
   <br/>
   <br/>
  </li>
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 Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.
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 The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
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 Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.
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 Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.
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Software Engineer I

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