prompt engineer

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

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

Times Consultant

We are seeking a highly skilled and experienced AI Video Creation &amp; Prompt Engineering Specialist to join our team. The ideal candidate should have hands-on expertise in modern AI video tools and a strong understanding of prompt engineering to generate high-quality, engaging content.Key Responsibilities<ul><li>Create high-quality AI-generated videos using tools such as Runway, Pika, Synthesia, or similar platforms</li><li>Develop and optimize prompts for text-to-video, image-to-video, and generative AI workflows</li><li>Edit and refine AI-generated outputs to meet professional standards</li><li>Collaborate with the content team to produce engaging visual content</li><li>Stay updated with the latest AI tools, trends, and workflows</li></ul>Required Skills &amp; Experience<ul><li>Proven experience in AI video tools (Runway, Pika, Synthesia, HeyGen, etc.)</li><li>Strong knowledge of prompt engineering (ChatGPT, Midjourney, Stable Diffusion, etc.)</li><li>Understanding of storytelling, video editing, and visual composition</li><li>Ability to turn ideas into compelling AI-generated visuals</li><li>Experience in social media or YouTube content creation is a plus</li></ul>Preferred Qualifications<ul><li>Background in media, design, animation, or AI-related fields</li><li>Portfolio showcasing AI-generated video projects</li><li>Knowledge of tools like Adobe Premiere Pro / After Effects is a plus</li></ul>How to ApplyPlease share:<ul><li>Your portfolio</li><li>Tools you have worked with</li><li>Sample AI-generated videos</li><li>Brief explanation of your prompt workflow</li></ul>Form Link: https://forms.gle/tAYKEi81MD8uQbr2AJob Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Video Creator &amp; Prompt Engineering : 3 years (Required)</li></ul>Work Location: In person

AI Video Creator & 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

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

Openkyber

<div>We are looking for FullStack AI Engineer for our client in Malvern, PA Job Title: FullStack AI Engineer Job Location: Malvern, PA Job Type: Contract Job Description: Pay Range: $65hr - $70hr Solution Design Implementation Design and implement endtoend generative AI solutions leveraging services like Amazon Bedrock including Agents Knowledge Bases and Guardrails. Model Development Optimization Finetune and customize large language models LLMs and other generative models GANs VAEs for specific business needs ensuring optimal performance and scalability. Prompt Engineering RAG Apply prompt engineering methodologies and build RetrievalAugmented Generation RAG systems to enhance model accuracy reliability and contextual understanding. Build CICD pipelines to automate the model lifecycle including training deployment monitoring and retraining. Cloud Infrastructure IaC Develop and manage robust cloud infrastructure using Infrastructure as Code IaC tools like AWS CloudFormation AWS CDK or Terraform. Collaboration Documentation Work with product managers to integrate AI capabilities into existing systems and create technical documentation best practices and tutorials. Security Compliance Ensure all AI solutions meet AWS best practices for security compliance scalability and cost optimization. Proficiency in Python is essential along with experience in languages like Java or TypeScript. Handson experience with core AWS services including S3 Lambda EC2 DynamoDB API Gateway Step Functions Glue and Athena Strong understanding and experienc in orchestration frameworks like LangChain. Technical Concepts Expertise in Generative AI architectures LLMs vector databases statistical methods and data processing. Strong problemsolving analytical and communication skills for working in crossfunctional teams and interacting with customers.
For applications and inquiries, contact: hirings@openkyber.com</div>

OCI AI Infrastructure Engineer

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