ai prompt engineer

Freedom Care

<div>Started in 2016, FreedomCare (FC) is a Healthcare company that is innovating and revolutionizing the way home care is delivered. We bring dignity and support to patients needing care in their homes and to the caregivers who care for them. We're the largest consumer-directed home care agency in NY State, and are continually expanding our areas of focus including operations in other states and tech-based innovations.
We pride ourselves on our values which drive the level of care that we deliver to our patients:
<ul>
<li>Here For You (An attitude of service, empathy, and availability)</li>
<li>Own It (Drive and ownership)</li>
<li>Do the Right Thing (High integrity)</li>
<li>Be Positive (Great attitude and a can-do positive approach to challenges)</li>
</ul>
Join our team and make a positive impact on the lives of others! We are looking for an Assistant Manager of Training Delivery &amp; Excellence for our People &amp; Culture team.

Must be willing to travel: This role is remote and requires occasional travel to any FreedomCare location nationally when necessary.
Department &amp; Position Overview:

As we scale, we're focused on improving how work gets done across operations and service delivery. AI will play a key role in reducing manual effort, improving decision making, and driving more consistent outcomes across these workflows. FreedomCare is a healthcare organization operating in a highly regulated environment, how we design and apply AI must also align with compliance, accuracy, and auditability requirements. We're looking for a highly technical individual contributor to own how AI is applied across the business.

The AI Prompt Engineer will focus on designing, building and optimizing prompts, agents and AI driven workflows implemented at the company. You will work across teams to integrate AI into real business processes to streamline processes, improve output quality, and reduce operational friction. This hands-on role is expected to both build and improve solutions.

Everyday You Will:

Apply AI to Core Business Workflows
<ul>
<li>Identify and implement AI solutions across key areas
</li><li>Improve how teams handle high volume, repetitive tasks by embedding AI into existing processes</li>
<li>Partner with business leaders to prioritize and solve operational bottlenecks
</li></ul>Prompt Engineering &amp; AI Optimization
<ul><li>Design, test and refine prompts to drive accurate, consistent, and high-quality outputs from AI systems
</li><li>Build and optimize AI agents and copilots used by internal teams
</li><li>Analyze output quality and continuously iterate to improve performance, reliability, and alignment with business needs</li>
</ul>
Build &amp; Integrate Solutions
<ul><li>Develop tools, automations and systems to support AI-driven workflows</li>
<li>Integrate AI into existing platforms and tools using APIs and scripting
</li><li>Connect data sources and systems to enable end-to-end automation
</li></ul>Drive Measurable Impact
<ul><li>Define and track metrics to evaluate AI output quality and workflow performance (i.e. turnaround time, accuracy, throughout and team efficiency)
</li><li>Analyze results to identify gaps and continuously improve prompts, agents and workflows</li>
<li>Quantify impact of AI solutions and communicate results to stakeholders</li>
<li>Ensure solutions are scalable, reliable, and aligned with compliance requirements</li>
</ul>
Enable Adoption Across Teams
<ul><li>Partner closely with cross-functional teams to effectively implement solutions
</li><li>Train teams on how to use AI tools and embed them into daily workflows
</li><li>Document best practices and standardize how AI is used across the business
</li></ul>What Success Looks Like
<ul><li>You've identified and implemented high impact AI use cases within core workflows, reducing manual effort or turnaround time</li>
<li>Teams are effectively using AI-enabled workflows you've built, with clear improvement in output quality and consistency
</li><li>You've established baseline metrics (i.e. accuracy, turnaround time, throughout) and can clearly demonstrate where
</li><li>AI is driving improvements AI outputs are not only faster, but reliable and consistent within a regulated environment, minimizing rework and downstream issues
</li><li>You've created a framework to approach identifying, testing, and scaling AI use cases across the business</li>
</ul>
Ideal Candidate will Possess
<ul>
<li>5+ years of experience in software engineering, automation or technical solution roles</li>
<li>Hands-on experience applying AI or LLMs to real world workflows (not just experimentation)
</li><li>Strong technical skills (Python, APIs, scripting, system integrations)
</li><li>Experience building internal tools, automations, or workflow solutions
</li><li>Ability to analyze outputs systematically improve performance</li>
<li>Experience working with high-volume operations</li>
</ul>
Nice to Have
<ul><li>Experience with automation platforms</li>
<li>Familiarity with AI agents, copilots, or workflow orchestration tools</li>
<li>Experience working in healthcare, service operations, or other regulated environments</li>
</ul>
Why work at FreedomCare?

We are here for you and committed to providing a best-in-class employee experience. We offer competitive compensation, medical benefits, retirement plans, wellness programs, fun company events and ongoing learning opportunities to grow your career.

This is a place where your voice matters, where we build great relationships, and your work has meaning and a tangible positive impact on others!

At FreedomCare, we celebrate diversity and are committed to creating an inclusive environment for all employees. We are an Equal Opportunity Employer and do not discriminate based upon race, religion, color, national origin, ancestry, age, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, status as a protected veteran, status as an individual with a disability, citizenship or immigration status, or other applicable legally protected characteristics.

#INDLV</div>

AI Prompt Engineer

Faj IT Solutions

About Us FAJ Group, based in Dubai, UAE, was founded in 2010 as a small company focused on technical services and equipment sales.We have since grown into a dynamic organization with over four subsidiaries in two sectors: International Training Academy and IT solutions. Our growth spans trading (including e-commerce), technical services, and various appliances and electronics.Company Name: FAJ IT SolutionsFor more details,Company Name: FAJ IT SolutionsLocation: 3rd Floor, HB Tower, Gulberg Greens Executive Block, IslamabadSend your CV via WhatsApp at +92 341 1410485A Prompt Engineer, or Prompt Designer, provides support for businesses in creating and managing AI prompts to ensure accurate, productive automated AI processes. Duties commonly listed in a Prompt Engineer job description include analyzing and researching AI technologies to stay abreast of best practices, creating and editing prompts and developing algorithms to support positive machine learning outcomes.Prompt Engineer duties and responsibilitiesPrompt Engineers are typically concerned with how processes, employees and customers interact with artificial intelligence. They work to create better prompts and support more proactive and helpful automated content within the scope of a variety of processes, including content generation, customer service chatbots and data analysis.Some potential duties to ensure are in a Prompt Engineer job posting include:<ul><li>Designing or writing prompts to support specific AI outcomes</li><li>Collaborating with teams to refine prompts to develop better prompt processes to support desired outcomes</li><li>Analyzing AI performance and making process and algorithm updates for performance improvement</li><li>Continued research and education on the ever-changing AI field to ensure updated best practices</li><li>Preparing data for use in updating or training machine learning processes</li><li>Providing and explaining reports regarding AI outcomes and performance</li><li>Collaborating with cross-functional teams to understand risks, ethical concerns and other issues related to AI use</li><li>Highlight required technical skills: Specify the programming languages, AI frameworks, and tools the candidate should be proficient in, such as Python, TensorFlow, or GPT-3.</li><li>Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.</li><li>Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.</li><li>Continuous Testing and Improvement</li><li>Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.</li></ul>Collaboration and Delivery<ul><li>Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.</li><li>Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.</li><li>Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.</li></ul>Requirements:<ul><li>Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.</li><li>Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).</li><li>Ability to define consistent, persona-driven conversational styles across multiple agents and products.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).</li><li>Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.</li><li>Basic programming skills (Python preferred) for testing and prototyping prompts.</li></ul>Work Location: In person

Ai Prompt Engineer Graphic Designer (Animation, AI Reels & Social Media)

The Que Studio

Job Title: AI Content &amp; Prompt EngineerWe are looking for a smart, creative, and forward-thinking AI Content &amp; Prompt Engineer to join our growing team. The ideal candidate will be responsible for using artificial intelligence tools to improve productivity, create high-quality content, automate workflows, and develop effective prompts that support marketing, sales, operations, and brand growth.Key Responsibilities:<ul><li>Develop and optimize prompts for AI tools such as OpenAI ChatGPT and other platforms</li><li>Create marketing content, captions, proposals, sales replies, and internal documents using AI tools</li><li>Build AI systems to improve workflow efficiency and team productivity</li><li>Research and implement new AI tools relevant to the business</li><li>Assist in automating repetitive tasks and communication processes</li><li>Train team members on effective AI usage and best practices</li><li>Review AI-generated outputs for quality, accuracy, and brand tone</li><li>Support management with innovation ideas and digital transformation initiatives</li></ul>Requirements:<ul><li>Strong understanding of AI tools, prompt writing, and automation workflows</li><li>Excellent writing and communication skills in Arabic and English preferred</li><li>Creative thinking with strong problem-solving ability</li><li>Organized, proactive, and results-driven mindset</li><li>Ability to adapt quickly to new technologies</li><li>Experience in marketing, operations, content creation, or business systems is a plus</li><li>Basic knowledge of no-code tools and integrations is an advantage</li></ul>What We Offer:<ul><li>Competitive salary based on experience</li><li>Opportunity to work on innovative and future-focused projects</li><li>Career growth opportunities</li><li>Dynamic and ambitious work environment</li></ul>If you are passionate about AI, innovation, and creating smarter business systems, we would love to hear from you.Pay: From KD450.000 per monthWork Location: In person

Prompt Enginner AI

Talent 360

<div>Overview 
Vezloo is seeking a Prompt Engineer specializing in adversarial testing of Generative AI systems. This role focuses on designing and executing structured prompt-based attack scenarios to evaluate model safety, robustness, and compliance across multiple risk domains. You will contribute to strengthening AI systems by identifying vulnerabilities and documenting model behavior under challenging inputs.
Key Responsibilities<ul><li>
Design and develop adversarial prompts across multiple risk categories, including but not limited to:
</li><li>Harmful or unsafe content generation
</li><li>Bias and fairness issues
</li><li>Misinformation and factuality manipulation
</li><li>Privacy leakage and sensitive data exposure
</li><li>Policy bypass and safety guardrail evasion
</li><li>Execute structured attack scenarios against GenAI systems, such as:
</li><li>Prompt injection techniques
</li><li>Jailbreaking attempts
</li><li>Multi-turn conversational manipulation
</li><li>Role-play and context distortion strategies
</li><li>Analyze model outputs to identify failures, inconsistencies, or policy violations
</li><li>Document findings clearly with actionable insights for model improvement
</li>Collaborate with evaluation teams to refine testing frameworks and coverage strategies 
<li>
</li></ul> 
 
Requirements 
<ul><li>
English proficiency level C1 or C2 (written and spoken)
</li><li>Proven experience in Generative AI model evaluation or assessment
</li><li>Strong hands-on experience in prompt engineering and structured prompt design
</li><li>Familiarity with adversarial testing concepts in AI systems
</li><li>Ability to think analytically and simulate edge-case user behaviors
</li><li>Access to a Mac device running the latest macOS</li></ul> 

Benefits 
<ul><li>
Fully remote work environment
</li><li>Opportunity to work on cutting-edge AI technologies
</li><li>Collaborative and inclusive team culture
</li><li>Professional growth and development opportunities</li></ul></div>

Prompt Engineer

Diginet Global (Pvt) Ltd

Job Description:Identify trending topics on social media, find popular articles/blogs, generate fresh content ideas, and create high-quality AI prompts to produce MSN-ready articles.Main Responsibilities<ul><li>Track trends across X, MSN, Yahoo, Reddit, etc.</li><li>Discover trending articles, blogs, and news pieces</li><li>Brainstorm and expand content ideas</li><li>Write precise, effective prompts for AI writing tools</li><li>Review &amp; refine AI-generated drafts for MSN standards</li><li>Report weekly on trends and performance</li></ul>Requirements<ul><li>2+ years in social media, content research, or digital marketing</li><li>Strong experience with AI text-generation tools &amp; prompt engineering</li><li>Excellent research and analytical skills</li><li>Good English writing &amp; communication</li><li>Familiar with Google Trends, SEO basics, and social analytics tools</li><li>Self-motivated, fast learner, detail-oriented</li></ul>Pay: Rs60,000.00 per monthWork Location: In person

Blog Writer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.
Mission
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.
What This Role Owns<ul><li>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</li><li>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>
Prompt versioning: templates in configuration, editable without code changes</li><li>
Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>
Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul>
Key Decisions<ul><li>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</li><li>
Confidence threshold tuning based on evaluation results</li><li>
Context window packing &mdash; what data fits within token budgets</li><li>
Fallback behavior when APIs degrade</li><li>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</li><li>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</li></ul>
Does Not Do<ul><li>
Define AI architecture or agent design patterns (Principal AI Engineer)</li><li>
Build the agentic platform itself (external partner)</li><li>
Build the backend API or data pipelines</li><li>
Fine-tune or train models</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.
</div><div><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>
Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>
Python &mdash; async API calls, retry logic, exponential backoff</li><li>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>
Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>
Token budgeting and context window management</li><li>
AI observability &mdash; output quality monitoring, anomaly detection</li><li>
FastAPI and Docker</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

AI Engineer

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Kuwait
 
 , we are hiring an AI Penetration Tester to join VMPT team and lead hands-on security testing for LLM/GenAI, ML, and AI-enabled applications (chatbots, RAG, AI agents, model APIs, and AI-assisted business workflows). The role blends traditional penetration testing + secure code review + vulnerability assessment with AI red teaming focused on modern AI risks such as prompt injection and insecure output handling as documented by OWASP&rsquo;s Top 10 for LLM Applications.
 
 
 Candidate is expected to have experience in assessing
 
 Python-based AI development and Azure AI / Azure OpenAI / Microsoft Foundry-hosted model endpoints
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 AI / LLM penetration Testing &amp; Red Teaming
 
 
 <ul>
 <li>
 Plan and execute AI penetration tests for LLM/GenAI and ML solutions across the bank (AI apps, AI gateways, model endpoints, orchestration layers, RAG pipelines, plugins/tools).
 </li>
 <li>
 Design test cases aligned to OWASP Top 10 for LLM Applications (e.g., prompt injection, insecure output handling, sensitive info disclosure, supply-chain risks).
 </li>
 <li>
 Perform adversarial testing using threat-informed techniques and references such as MITRE ATLAS (adversary tactics/techniques for AI systems).
 </li>
 <li>
 Validate security of agentic workflows (tool invocation, function calling, permissions, memory, connectors) and verify least privilege + authorization boundaries.
 </li>
 </ul>
 
 
 Automation &amp; Tooling
 
 
 <ul>
 <li>
 Build Python-based test harnesses for repeatable AI security testing (fuzzing prompts, jailbreak suites, regression tests, evaluation scoring).
 </li>
 <li>
 Use and extend PyRIT (Python Risk Identification Tool) or equivalent frameworks to probe for jailbreaks/harms and automate adversarial scanning.
 </li>
 <li>
 Where applicable, leverage Microsoft Foundry capabilities such as the AI Red Teaming Agent (preview) that integrates PyRIT red teaming features.
 </li>
 </ul>
 
 
 Secure code review &amp; AppSec
 
 
 <ul>
 <li>
 Conduct secure code review (particularly Python) for AI application layers: prompt templates, RAG retrieval logic, output post-processing, input validation, secrets handling, authZ checks, and logging.
 </li>
 <li>
 Identify and help fix design flaws enabling data leakage, prompt manipulation, unsafe tool usage, or insecure output flows.
 </li>
 </ul>
 
 
 Traditional PT
 
 
 <ul>
 <li>
 Perform web/API/cloud penetration testing for AI-enabled applications (auth, session, API abuse, SSRF, injection, misconfigurations, secrets).
 </li>
 <li>
 Run vulnerability assessments, triage findings, define severity, and validate remediation (re-test).
 </li>
 </ul>
 
 
 
 
 
 Education and Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Cybersecurity, Software Engineering, or related discipline.
 </li>
 <li>
 3&ndash;7 years in penetration testing / application security / red teaming.
 </li>
 <li>
 Demonstrated experience testing LLM/GenAI systems (prompt injection, jailbreaks, data exfiltration patterns, agent/tool abuse).
 </li>
 <li>
 Strong hands-on Python for security automation and test harness development.
 </li>
 <li>
 Practical experience with Azure security concepts (identity, networking, secrets, logging) and exposure to Azure AI / Azure OpenAI / Foundry style deployments.
 </li>
 <li>
 Strong report writing, clear communication, ability to work with developers on remediation.
 </li>
 </ul>
 
 
 A Must Certificates (at least one)
 
 
 <ul>
 <li>
 OffSec OSCP / OSCP+
 </li>
 <li>
 GIAC GPEN
 </li>
 <li>
 Microsoft Certified: Azure Security Engineer Associate (AZ-500)
 </li>
 <li>
 ISC2 CCSP
 </li>
 </ul>
 
 
 Strongly Preferred
 
 
 <ul>
 <li>
 OffSec OSWE (advanced web exploitation / white-box testing)
 </li>
 <li>
 Burp Suite Certified Practitioner (BSCP)
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate (AI-102) (helps align with Azure AI implementation patterns).
 </li>
 </ul>
 
 
 Tools &amp; Technologies Skills
 
 
 <ul>
 <li>
 Python, Git, CI/CD integration
 </li>
 <li>
 Burp Suite, common PT toolchains (Kali, scanners, API tooling)
 </li>
 <li>
 Azure security controls (identity, key management, logging/monitoring)
 </li>
 <li>
 AI red teaming tooling (e.g., PyRIT / Foundry scans)
 </li>
 </ul>
 
 
</div>

AI Penetration Testing Specialist

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