ai developer

Everforth ECS

<div><p>Everforth ECS is seeking an <b><i>AI Developer </i></b>to work <b><i>remotely</i></b>.</p>
<p>
</p><p>Everforth ECS is seeking a highly skilled <b>AI Developer </b>with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li>AI/ML Model Development</li>
<li>Design, build, fine tune and train machine learning and deep learning models using Python.
</li><li>Perform data preprocessing, feature engineering, and model optimization.
</li><li>Evaluate models using domain appropriate metrics and improve performance iteratively.
</li><li>Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
</li><li>Full-Stack Development
</li><li>Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
</li><li>Build responsive and user-friendly front-end interfaces for AI-powered applications.
</li><li>Integrate AI models into web and mobile applications.
</li><li>Ensure scalability, security, and performance of deployed solutions.
</li><li>Collaboration &amp; Documentation
</li><li>Work closely with data scientists, developers, frontend developers, and product managers.
</li><li>Document model architectures, APIs, and deployment processes.
</li><li>Participate in code reviews and maintain high coding standards.</li>
</ul>
<div><i>Salary Range: $130,000 - $145,000</i></div>
<div><i>
General Description of Benefits</i>
</div>Requirements:
<ul><li><b><i>Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
</i></b></li><li><b><i>Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.</i></b></li>
<li>3+ years of experience in AI/ML development and full-stack application building.
</li><li>Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
</li><li>Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
</li><li>Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
</li><li>Experience with databricks</li>
<li>DevOps &amp; Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).</li>
<li>General knowledge of Geospatial technology
</li><li>Version Control: Proficiency with GitHub workflows.
</li><li>Mathematics &amp; AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms.
</li><li>Knowledge of data visualization tools (Matplotlib, Plotly, D3.js).
</li><li>Familiarity with microservices architecture.
</li><li>Prior experience in AI product development from concept to deployment.
</li></ul><br>
Req Benefits:
<div>Benefits - Everforth ECS</div></div>

AI Developer - Model Creation & Full Stack

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
  </li>
  <li>
   Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
  </li>
  <li>
   Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
  </li>
  <li>
   Build clean, scalable, and maintainable backend services and APIs using Python.
  </li>
  <li>
   Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
  </li>
  <li>
   Integrate conversational AI solutions with enterprise systems and third-party services.
  </li>
  <li>
   Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
  </li>
  <li>
   Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
  </li>
  <li>
   Collaborate within an Agile development environment and mentor junior team members when needed.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
  </li>
  <li>
   Strong hands-on experience with Python and software engineering best practices.
  </li>
  <li>
   Proven experience developing conversational AI solutions using RASA.
  </li>
  <li>
   Hands-on experience with Google Cloud Platform (GCP) services.
  </li>
  <li>
   Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
  </li>
  <li>
   Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
  </li>
  <li>
   Proficiency with Git and collaborative software development workflows.
  </li>
  <li>
   Excellent analytical, problem-solving, and communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with Docker and Kubernetes.
  </li>
  <li>
   Knowledge of Terraform or other Infrastructure-as-Code tools.
  </li>
  <li>
   Experience implementing CI/CD pipelines and MLOps workflows.
  </li>
  <li>
   Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
  </li>
 </ul>
 <p>
 </p>
</div>


AI/ML Developer Level II

WPBrigade

<p><b>About the Role:</b></p><p>We are looking for a <b>AI/Python Intern</b> to join our innovative AI team. The intern will assist in building, fine-tuning, and deploying <b>Generative AI models</b> for text, image, and other creative applications. This role offers hands-on experience with state-of-the-art AI tools and frameworks, including <b>OpenAI models, LLMs, diffusion models, and prompt engineering techniques</b>.</p><p><b>Key Responsibilities:</b></p><ul><li>Support in research and experimentation with <b>Generative AI</b> models (LLMs, Stable Diffusion, GPT, etc.).</li><li>Assist in <b>prompt engineering</b>, <b>fine-tuning</b>, and <b>custom model training</b> using available datasets.</li><li>Develop Python scripts and APIs to integrate AI features into applications.</li><li>Work with datasets for text, image, or audio generation tasks.</li><li>Collaborate with developers, designers, and data scientists to create AI-driven solutions.</li><li>Document project progress, model performance, and test results.</li><li>Stay updated on new trends and advancements in the field of Generative AI.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree ( completed) in <b>Computer Science, AI, Data Science, or related fields</b>.</li><li>Strong programming skills in <b>Python</b>.</li><li>Familiarity with <b>Machine Learning</b> and <b>Deep Learning</b> concepts.</li><li>Basic understanding of chatbots creation</li><li>Strong analytical and problem-solving mindset.</li></ul><p>Job Types: Full-time, Internship</p><p>Pay: From Rs25,000.00 per month</p><p>Work Location: In person</p>

AI/Python Developer Internship

Procore Technologies

<div>
 <strong>
  Job Ad
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Senior Software Engineer - Agentic Foundation
 </strong>
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 <br/>
 <br/>
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 <br/>
 <br/>
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
  </li>
  <li>
   Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
  </li>
  <li>
   Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
  </li>
  <li>
   Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
  </li>
  <li>
   Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
  </li>
  <li>
   Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
  </li>
  <li>
   Master generative tools and agentic workflows to actively build the automated future of construction software.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we&rsquo;re looking for:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
  </li>
  <li>
   Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
  </li>
  <li>
   Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
  </li>
  <li>
   Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
  </li>
  <li>
   Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
  </li>
  <li>
   Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
  </li>
  <li>
   Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
  </li>
 </ul>
</div>


Senior Software Engineer, Agentic Foundation

VGA Holdings

<p><b>About the Role </b></p><p>We are looking for an experienced AI Solutions Architect / Developer to join our team and lead the design, implementation, and continuous improvement of AI-powered features within our education platform. This is a hands-on technical role requiring someone who can work independently, review existing AI implementations, identify architectural improvements, and build scalable AI solutions from the ground up.</p><p>The ideal candidate is comfortable working across the entire AI stack&mdash;from prompt engineering and RAG pipelines to model training, embeddings, vector databases, backend integration, and production deployment.</p><p><b>Key Responsibilities:</b></p><ul><li>Review and improve our existing AI implementation.</li><li>Identify architectural issues, performance bottlenecks, and security vulnerabilities.</li><li>Design efficient AI workflows that minimize token usage and API costs.</li><li>Build and maintain Retrieval-Augmented Generation (RAG) pipelines.</li><li>Integrate Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, Qwen, or similar models into our in-house platform.</li><li>Design prompt engineering strategies and evaluation frameworks. Implement human-in-the-loop feedback systems for continuous AI improvement.</li><li>Build and maintain embedding pipelines and vector databases.</li><li>Develop AI services, APIs, and backend integrations.</li><li>Evaluate new AI technologies and recommend improvements.</li><li>Document AI architecture, workflows, implementation details, and best practices. Collaborate with software developers, QA engineers, and product teams to deliver production-ready AI solutions.</li><li>Troubleshoot production AI issues and optimize response quality, latency, and cost.</li></ul><p><b>Experience:</b></p><ul><li>5+ years of software development experience</li><li>with at least 2 years of hands-on experience building production AI systems.</li></ul><p><b>Required Skills: </b></p><p><b>Artificial Intelligence</b></p><ul><li>Large Language Models (LLMs)</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>Embeddings</li><li>Vector Databases</li><li>Semantic Search</li><li>AI Evaluation</li><li>AI Guardrails</li><li>AI Safety</li><li>AI Observability</li></ul><p><b>Model Development </b></p><ul><li>Fine-tuning</li><li>LoRA / QLoRA</li><li>Model Training</li><li>Dataset Preparation</li><li>Synthetic Data Generation</li><li>Model Evaluation</li><li>Reinforcement Learning from Human Feedback (RLHF) knowledge is a plus</li></ul><p><b>AI Frameworks</b></p><ul><li>Experience with one or more:</li><li>LangChain</li><li>LlamaIndex</li><li>DSPy</li><li>CrewAI</li><li>AutoGen</li><li>Semantic Kernel</li></ul><p><b>Vector Databases</b></p><p>Experience with one or more:</p><ul><li>pgvector</li><li>Pinecone</li><li>Weaviate</li><li>Qdrant</li><li>Milvus</li><li>ChromaDB</li></ul><p><b>Backend Development</b></p><p>Experience with:</p><ul><li>Python (preferred)</li><li>FastAPI</li><li>REST APIs</li><li>PostgreSQL</li><li>SQL</li><li>Docker</li><li>Git</li></ul><p><b>Cloud &amp; Infrastructure</b></p><p>Experience with:</p><ul><li>AWS</li><li>Google Cloud</li><li>GPU deployments</li><li>Docker</li><li>Kubernetes (preferred)</li></ul><p><b>What We're Looking</b> <b>For</b>:</p><p>The successful candidate should be able to:</p><ul><li>Work independently with minimal supervision.</li><li>Take ownership of AI architecture and implementation.</li><li>Review existing code and improve it.</li><li>Identify bugs before they become production issues.</li><li>Write clean, maintainable, and well-documented code.</li><li>Think critically and propose better technical solutions.</li><li>Communicate technical concepts clearly with both technical and non-technical stakeholders.</li><li>Work effectively both independently and within a collaborative development team.</li><li>Stay up to date with the rapidly evolving AI ecosystem.</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience building AI products, preferably for Education (EdTech).</li><li>Experience with multi-agent AI systems. Knowledge of child psychology or educational assessment.</li><li>Experience deploying open-source LLMs locally.</li><li>Experience with Hugging Face ecosystem.</li><li>Experience building AI evaluation pipelines. Knowledge of MCP (Model Context Protocol). Experience with speech recognition (Whisper), OCR, or computer vision.</li></ul><p>Interested Applicants can share their CV via;</p><ul><li>email: info@vgaholdings.com</li><li>WhatsApp: +973 6663 3334 <b>(NO CALLS)</b></li></ul><p>Work Location: In person</p>

AI Solutions Architect

GreenGrowth CPAs

<p></p><div><div><b>About the Company</b><br>
We aim become one of thep 100 CPA firms in the US through a culture of continuous improvement, positioning ourselves as the go-to partner for businesses nationwide and setting the standard for excellence in accounting.<br>
<br>
This is an <b>onsite</b>, salaried position located in Irvine, CA.<br>
<br>
<b>About the Role</b><br>
We're not just adopting AI - we're building it into the DNA of financial services. At GreenGrowth CPAs, we&rsquo;re looking for an AI Engineer who&rsquo;s ready lead the charge in transforming how financial operations are automated, predicted, and intelligently scaled. If you thrive in fast-moving environments, love experimenting with LLMs, and want work somewhere where your ideas will shape the roadmap - this is your chance. This role comes with a base salary, equity opportunity, and the ability own AI innovation at a company that&rsquo;s scaling rapidly.<br>
<br>
<b>Responsibilities</b><br>
You&rsquo;ll own the full lifecycle of intelligent systems from concept deployment focused on automation, predictive analytics, and seamless user experiences.<br>
<br>
<b>Build &amp; Launch AI Solutions:</b><br>
Design and deploy ML models<ul><li> automate financial workflows (think: invoicing, forecasting, expense classification).</li>
Develop NLP applications like document parsing, chatbot<li>ols, and summarization engines.</li>
Embed AI directly into client-facing and internal<li>ols alongside product + engineering.</li></ul><b>
Scale the Infrastructure:</b><br>
<ul><li>
Build secure, scalable AI pipelines for training, deployment, and retraining.</li>
Choose the best-fit frameworks and cloud<li>ols (AWS, Azure, GCP).</li>
Monitor model performance and retrain regularly<li> keep systems sharp.</li></ul><b>
Collaborate &amp; Innovate:</b><br>
Partner with finance, ops, and product teams<ul><li> identify high-impact AI use cases.</li>
Experiment with new<li>ols (LLMs, vector databases, multimodal models&mdash;you name it).</li>
Help shape our internal data strategy and make insights visible with dashboards and reporting<li>ols.</li></ul><b>
Build Smart &amp; Safe:</b><br>
<ul><li>
Ensure all AI systems comply with privacy laws (GDPR, CCPA, etc.).</li><li>
Build in transparency and explainability from day one.</li><li>
Help us stay ahead of AI/ML trends in fintech and SaaS.</li><li>
Maintain and expand our internal platform, a Python/Flask/Postgresql monolith app running on AWS lightsail/Ubuntu Linux.</li></ul><b>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s degree in Engineering, Computer Science or a related field.</li></ul><b>
Required Skills</b><br>
Proficiency in Python, Postgresql, html/css/Javascript, AWS Devops, Tailwindcss, GoogleScripts, N8N, Zapier, exposure<ul><li> Quickbooks Intuit API preferred.</li>
Exposure Openai, Anthropic, Groq, or Gemini APIs<li> create AI wrapper apps.</li><li>
Strong experience in automating accounting processes, preferred.</li><li>
Proven experience as a full stack developer, Automation or AI Engineer or similar role.</li><li>
Strong programming skills in languages such as Python, Ruby, or Javascript.</li><li>
Knowledge of software development methodologies and best practices.</li><li>
Familiarity with databases, SQL, and scripting.</li><li>
Excellent problem-solving and analytical skills.</li>
Ability<li> work independently and as a part of a team.</li><li>
Excellent spoken and written English.</li></ul><b>
Who We're Looking For</b><br>
Someone who wants be early on something big, not just maintain legacy<ul><li>ols.</li>
Learns fast, builds faster, and isn&rsquo;t afraid<li> ask hard questions.</li><li>
Gets energy from experimentation and autonomy.</li><li>
Wants skin in the game with equity and long-term impact.</li></ul><b>
Pay Range and Compensation Package</b><br>
<ul><li><b>
Base Salary:</b> $70,000 &ndash; $80,000 base compensation</li><li><b>
Health &amp; Wellness:</b> Comprehensive medical, vision, and dental benefits</li><li><b>
Time Off:</b> Unlimited PTO and observed paid holidays</li><li><b>
Retirement:</b> 3% non-elective contribution a company 401(k)</li></ul>
The journey doesn't stop here! We have a plethora of benefits unveil during our interview. If you're hungry for growth and thrive in a culture of care and innovation, .<br>
<br>
Join GreenGrowth CPAs, where your work truly matters.<br>
<br>
GreenGrowth CPAs is an equal opportunity employer that prohibits discrimination and harassment, makes hiring decisions based on job-related qualifications, provides reasonable accommodations for applicants and employees (including for disabilities and sincerely held religious practices), and complies with federal and California law.</div><p></p><div><div><div><div><div><div><div><p><br>
</p></div></div><div></div>
</div></div></div></div><div></div><div><div>Department</div>
<div>IT</div>
<div>Location</div>
<div>Anaheim, California, USA</div></div></div></div>

AI Engineer (Tax)

Intégral

<div>Overview:
<div><b>
Agentic Engineer</b></div><div><b>
Location: Tysons Corner, VA (Hybrid)</b></div><div></div><div><br>
At Integral Federal, we invest in our people&mdash;equipping them with the tools, expertise, and culture of innovation needed to deliver measurable results. Committed to exceeding expectations and delivering mission impact, our team thrives on solving complex challenges, optimizing performance, and ensuring long-term success for our clients.</div><div></div><div><b><br>
The Role:</b> We are looking for a curious builder to join our team and develop AI Agents. You will design, build, and deploy autonomous agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure.</div><div></div><div><br>
We do not require a Master&rsquo;s degree, a Bachelor&rsquo;s degree, or any degree at all. We care about your understanding of modern AI architectures and your drive to repetitively solve problems. If you are the type of developer who loves tinkering with multi-agent workflows, experimenting with the Model Context Protocol (MCP), and testing the limits of new foundation models, you belong here.</div><div></div><div><b><br>
Work Authorization</b>: Candidates must be authorized to work in the U.S. without the need for an employer-sponsored visa now or in the future.</div>
Responsibilities:
<ul><li>Design and build autonomous AI agents using the latest large language models (LLMs) and orchestration frameworks.</li><li>
Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources.</li><li>
Move beyond prototypes by building rigorous evaluation (Evals) pipelines and implementing LLM observability to ensure agents run reliably without hallucinating or getting stuck in infinite tool-calling loops.</li><li>
Deploy AI solutions across multi-cloud environments, utilizing the best tools available on AWS, Google Cloud (GCP), and Microsoft Azure.</li><li>
Translate complex, ambiguous problems into functional, robust, production-ready code.</li><li>
Stay plugged into the bleeding edge of the AI landscape, bringing new tools, papers, and open-source projects to the team's attention.</li><li>
Work closely with other engineers to securely and efficiently integrate agentic workflows into our existing infrastructure.</li></ul>
Qualifications:
<div><b>
What You Must Bring (Required):</b></div><div></div><ul><li><b><br>
Proof of Capability:</b> Personal projects, GitHub repositories, or open-source contributions demonstrating your ability to build AI apps or agents. (Please include links in your application).</li><li><b>
LLM &amp; Agent Experience</b>: Hands-on experience working directly with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and building agentic loops (tool calling, memory management, reasoning).</li><li><b>
Protocol Knowledge:</b> Familiarity with or a strong desire to master the Model Context Protocol (MCP) for tool integration.</li><li><b>
Cloud Fluency:</b> Experience deploying applications or running experiments on at least one major cloud provider (AWS, GCP, or Azure) and a willingness to learn the others.</li><li><b>
Builder&rsquo;s Mindset:</b> An insatiable curiosity, a high tolerance for ambiguity, and the grit to troubleshoot novel problems.</li></ul><div></div><div><b><br>
Bonus Points (Preferred):</b></div><br>
<div></div><ul><li>
Experience fine-tuning models or working with local, open-weight models.</li><li>
Experience testing models to create a baseline and identify drift</li><li>
Experience building custom tools, robust RAG pipelines, or complex data ingestion pipelines from scratch.</li></ul><div>
Salary range: $90,000 - $175,000</div><div>
The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions.</div><div>
Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.</div>
Company Overview:
<div>
Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure.</div><div></div><div><br>
Integral is headquartered in McLean, VA and serves clients throughout the country.</div><div></div><div><br>
We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal!</div><div></div><div><br>
Our package also includes:</div><ul><li>Medical, Dental &amp; Vision Insurance</li><li>Flexible Spending Accounts</li><li>Short-Term and Long-Term Disability Insurance</li><li>Life Insurance</li><li>Paid Time Off &amp; Holidays</li><li>Earned Bonuses &amp; Awards</li><li>Professional Training Reimbursement</li><li>Employee Assistance Program</li></ul><div></div><div><br>
Equal Opportunity Employer/Protected Veteran/Disability</div></div>

Agentic Engineer

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