artificial intelligence engineer

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities<ul><li>
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models</li><li>
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel</li><li>
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations</li><li>
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases</li><li>
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services</li><li>
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy</li><li>
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions</li><li>
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics</li><li>
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment</li><li>
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities</li></ul>
Requirements<ul><li>
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered</li><li>
2 or more years of hands-on experience building production AI systems or intelligent automation solutions</li><li>
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks</li><li>
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications</li><li>
Experience with vector databases and semantic search implementations is strongly preferred</li><li>
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications</li><li>
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial</li><li>
Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines</li></ul>
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas<ul><li>
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis</li><li>
Multi-agent orchestration including planner, executor, critic, and memory agent patterns</li><li>
Knowledge retrieval systems including enterprise RAG, document Q&amp;A, and semantic search</li><li>
Process automation integrating CRM, ERP, and communication tools end-to-end</li><li>
Agent safety, guardrails, and human-in-the-loop oversight mechanisms</li><li>
MCP server development for extending agent capabilities</li></ul>
Soft Skills<ul><li>
Strong problem-solving ability and analytical thinking</li><li>
Ability to translate complex business needs into practical technical solutions</li><li>
Effective collaboration and communication in a team-oriented environment</li><li>
Intellectual curiosity and commitment to staying current with AI research and trends</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

AI Engineer – Generative AI and Automation

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

Booz Allen Hamilton

<div>AI/ML Engineer and Data Scientist
The Opportunity:
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors&mdash;from fraud detection to cancer research to national intelligence&mdash;we need you to help find the answers in the data.
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide teammates and lead the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
3+ years of experience with statistical and general-purpose programming languages for data analysis</li><li>
3+ years of experience analyzing structured and unstructured data sources</li><li>
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining</li><li>
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources</li><li>
Experience with natural language processing, text mining, or machine learning techniques</li><li>
Experience with REST APIs, webhooks, and automation middleware</li><li>
Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms</li><li>
Knowledge of AI and ML workflows leveraging existing AI and ML tools</li><li>
TS/SCI clearance</li><li>
Bachelor&rsquo;s degree</li></ul>
Nice If You Have:<ul><li>
Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL</li><li>
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL</li><li>
Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2</li><li>
Master's degree</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI/ML Engineer and Data Scientist

Vantage Data Centers

<div><h1 class="jobSectionHeader">About Vantage Data Centers</h1> 
Vantage Data Centers powers, cools, protects and connects the technology of the world&rsquo;s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.
Information Technology Department
The Information Technology Department architects and operates the digital foundation powering Vantage Data Centers' global operations while pioneering the intelligent transformation of how we work. Our integrated IT/AI organization delivers enterprise-grade infrastructure, networking, cybersecurity, and end-user services with operational excellence, while simultaneously developing artificial intelligence capabilities that drive measurable business value. We are transforming our service delivery model around ITIL best practices, comprehensive automation frameworks, and governance structures that enable both stability and innovation. Our teams collaborate across Infrastructure, Network, Service Desk, IT Engineering, and Artificial Intelligence functions, emphasizing service over technology and recognizing that success is measured by business outcomes rather than technical implementations. This is an exceptional time to join as we fundamentally reshape how technology serves the organization, creating an environment where operational discipline and innovative experimentation work as complementary forces.
Artificial Intelligence Team
The Artificial Intelligence Team exists to amplify human potential through intelligent technology. We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market. Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence. Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution.
Position Overview
This position is based remotely in the United States.
The AI Solutions Engineer, Global is a hands-on technical builder within Vantage&rsquo;s Accelerators team, responsible for transforming validated business requirements into working AI prototypes that demonstrate tangible value within aggressive 6-week development cycles. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage&rsquo;s data center operations.
Essential Job Functions<ul><li>
Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization.</li><li>
Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform.</li><li>
Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity.</li><li>
Apply SDLC best practices&mdash;version control, code reviews, automated testing, and CI/CD&mdash;within a rapid prototyping environment to balance quality and speed.</li><li>
Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams.</li><li>
Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements.</li><li>
Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability.</li><li>
Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.</li></ul>
Duties<ul><li>
Develop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automation.</li><li>
Integrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutions.</li><li>
Build custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365.</li><li>
Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performance.</li><li>
Implement APIs, webhooks, and integrations connecting AI solutions with enterprise platforms (Microsoft 365, SharePoint, Power Platform, Salesforce, and operational systems).</li><li>
Rapidly evaluate and experiment with emerging AI technologies, focusing on solutions suitable for production environments.</li><li>
Participate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growth.</li><li>
Embed security, privacy, and governance controls from the outset, meeting enterprise compliance standards.</li><li>
Create automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrations.</li><li>
Troubleshoot and resolve complex technical and integration issues while documenting learnings.</li><li>
Package prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrations.</li><li>
Support handoff to Development teams through architecture walkthroughs, documentation, and knowledge transfer.</li><li>
Stay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping efforts.</li><li>
Handle additional duties as assigned by Management.</li></ul>
Job Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred.</li><li>
Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms).</li><li>
Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code.</li><li>
Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform.</li><li>
Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint).</li><li>
Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design.</li><li>
Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures.</li><li>
Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity.</li><li>
Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor.</li><li>
Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus.</li><li>
Knowledge of security, data privacy, and enterprise compliance standards.</li><li>
Strong problem-solving and debugging skills, particularly in complex, integrated environments.</li><li>
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li><li>
Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments.</li><li>
Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.</li><li>
Travel required is expected to be up to 5% but may increase over time as the business evolves.</li></ul>
Physical Demands and Special Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.
Additional Details<ul><li>
Salary Range: $130,000-135,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)</li><li>
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.</li><li>
Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.</li></ul>
#LI-Remote #LI-CD1
We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other&rsquo;s strengths and respecting each other&rsquo;s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations. 
Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.
Vantage Data Centers is an Equal Opportunity Employer
Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.</div>

AI Solutions Engineer, Global

PeopleTec

<div>Responsibilities:
<div>
PeopleTec is currently seeking an AI Data Engineer to support our El Paso, TX location.</div><div></div><div> 
Duties:</div><ul><li>
Develop and maintain Palantir software solutions to support business needs.</li><li>
Design, test, and implement AI models to improve business processes.</li><li>
Stay up to date with the latest advances in machine learning infrastructure and operations to develop and maintain efficient systems.</li><li>
Drive implementation, testing, releases, and monitoring for data processing pipelines and machine learning products.</li><li>
Collaborate with cross-functional teams to identify business needs and provide technical solutions.</li><li>
Analyze and interpret data to extract meaningful insights using Palantir and AI tools.</li><li>
Ensure data quality and integrity throughout the development process.</li><li>
Conduct research on new Palantir and AI technologies to stay current with industry trends.</li><li>
Provide technical guidance and support to other team members.</li><li>
Apply knowledge of Agile software development using Scrum.</li><li>
Demonstrate familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.</li><li>
Analyze business workflows and apply algorithmic thinking to design solutions that meet specific customer needs.</li><li>
Exhibit strong communication and interpersonal skills.</li><li>
Work independently and make decisions with minimal supervision.</li></ul>
Qualifications:
<div>
Required Skills/Experience:</div><ul><li>
Proven experience in Palantir software development and Artificial Intelligence.</li><li>
Experience designing and implementing ML infrastructure to train and deploy large language models.</li><li>
3+ years&rsquo; experience in software development.</li><li>
2+ years&rsquo; experience developing and implementing AI models using machine learning algorithms.</li><li>
Familiarity with Palantir software, including Palantir Gotham, Palantir Foundry, and Palantir Metropolis.</li><li>
Strong knowledge of programming languages such as Java, Python, JavaScript, and React.</li><li>
Proficiency with major deep learning frameworks.</li><li>
Ability to analyze complex data sets and extract meaningful insights.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and teamwork skills.</li><li>
Must be authorized to work in the US.</li><li>
Must be able to obtain and hold a DoD Secret Security Clearance, with the possibility to upgrade to Top Secret/SCI.</li><li>
Willing to work in El Paso, TX.</li></ul><div>
Education Requirements:</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field (4 years of experience may be considered in lieu of a degree).</li></ul><div>
Estimated Time To Hire:</div><ul><li>
August 2026</li></ul>
Overview:
<div>
People First. Technology Always.</div><div></div><div> 
PeopleTec, Inc. is an employee-owned small business founded in Huntsville, AL that provides exceptional customer support by employing and retaining a highly skilled workforce.</div><div></div><div> 
Culture: The name &quot;PeopleTec&quot; was deliberately chosen to remind us of our core value system - our people. Our company's foundation was built on placing our employees and customers first. With an award-winning atmosphere, we have matured into a company that boasts the best and brightest across multiple technical fields.</div><div></div><div> 
Career: At PeopleTec, we value your long-term goals. Whether it's through our continuing-education opportunities, our robust training programs, or our &quot;People First&quot; benefits package, PeopleTec truly believes that our best investments are our people.</div><div></div><div> 
Come Experience It.
</div><div>#cjpost #dpost</div><div></div><div> 
EEO Statement</div><div></div><div> 
PeopleTec, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, applicationhelp@peopletec.com and/or phone number (256.319.3800) to contact us about your interest in employment with PeopleTec, Inc.</div><div></div><div> 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. PeopleTec, Inc. participates in E-Verify.</div></div>

AI Data Engineer

LCG Inc.

<div>Location: Rockville, MD (Onsite, 3 days per week) - No exceptions

Required Clearance: Ability to obtain Public Trust

Sponsorship: No sponsorship assistance is available for this position now or in the future.

Position Description:

LCG is seeking an AI Engineer to support our client at NIH in advancing AI-driven modernization initiatives across software development, research enablement, and enterprise operations.

This role will focus on implementing AI-assisted development capabilities, enabling codebase intelligence, accelerating modernization of legacy applications, and integrating AI into enterprise workflows. The AI Engineer will play a key role in leveraging tools such as GitHub Copilot, large language models (LLMs), and emerging AI frameworks to improve developer productivity, reduce technical debt, and enhance system understanding across a complex application portfolio.

The position will collaborate with development teams, DevSecOps engineers, and business stakeholders to identify, implement, and scale AI use cases that align with Client's modernization roadmap.

Key Responsibilities

AI-Assisted Development &amp; Engineering
<ul>
<li>Implement and operationalize AI-assisted development tools (e.g., GitHub Copilot, LLM-based assistants) across engineering teams.
</li><li>Enable full codebase understanding by indexing repositories and supporting natural language queries across legacy systems.
</li><li>Support AI-driven code refactoring, modernization, and technical debt reduction efforts across Java and .NET applications.
</li><li>Assist in legacy-to-modern transformation initiatives, including translating legacy code into modern APIs and cloud-native architectures.
</li></ul>AI Use Case Development &amp; Integration
<ul>
<li>Design and implement AI-driven solutions such as:
</li><li><ul><li>Code analysis and summarization tools
</li><li>Requirements extraction from legacy systems
</li><li>Test generation and code quality automation
</li><li>Knowledge bots leveraging enterprise data sources (ServiceNow, SharePoint, etc.)
</li></ul></li><li>Integrate AI capabilities with enterprise platforms using APIs and emerging standards (e.g., Model Context Protocol &ndash; MCP).
</li><li>Support development of AI-powered assistants for operational and research workflows.
</li></ul>AI Enablement &amp; Developer Productivity
<ul>
<li>Drive adoption of AI tools to reduce time spent on debugging, documentation, onboarding, and code reviews.
</li><li>Partner with development teams to identify bottlenecks and apply AI solutions to improve efficiency.
</li><li>Establish best practices for AI usage, including prompt engineering, validation, and responsible AI usage.
</li></ul>Data, Models, and Platform Support
<ul>
<li>Support AI/ML workloads leveraging cloud services (e.g., AWS SageMaker).
</li><li>Assist in enabling AI-driven analytics, reporting, and research workflows.
</li><li>Ensure secure handling of sensitive data in compliance with federal and NIH guidelines.
</li></ul>Training, Adoption, and Governance
<ul>
<li>Support AI literacy initiatives and role-based training for developers and business users.
</li><li>Define governance practices for AI usage, including data handling, validation, and compliance.
</li><li>Collaborate with stakeholders to identify and prioritize AI use cases across the portfolio.</li>
</ul>
Qualifications

Education

Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Required Experience
<ul>
<li>5+ years of experience in software engineering, data engineering, or related technical roles.
</li><li>Hands-on experience with AI/ML or Generative AI tools (e.g., OpenAI, Copilot, Claude, etc.).
</li><li>Strong programming experience in languages such as Python, Java, or .NET.
</li><li>Experience working with APIs and integrating third-party platforms.
</li><li>Familiarity with modern software development practices and SDLC.
</li></ul>Preferred Experience
<ul>
<li>Experience with AI-assisted development tools (GitHub Copilot or similar).
</li><li>Experience working with cloud-based AI/ML platforms (AWS SageMaker preferred).
</li><li>Exposure to enterprise system integrations (ServiceNow, SharePoint, Power BI, etc.).
</li><li>Experience working in federal or healthcare research environments.
</li><li>Understanding of data security, compliance, and FedRAMP environments.</li>
</ul>
Compensation and Benefits

The projected compensation range for this position is $100,000 to $130,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience. 
 
LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.

Devoted to Fair and Inclusive Practices
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com.

Securing Your Data

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.</div>

AI Engineer, Senior (GenAI / AI Modernization)

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 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.
</div>

Mid/Senior - Data Scientist

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