prompt engineer

Freedom Care

<div><p>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.
</p><p>We pride ourselves on our values which drive the level of care that we deliver to our patients:</p>
<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>
<p>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.</p>
<p><i>
Must be willing to travel: This role is remote and requires occasional travel to any FreedomCare location nationally when necessary.
</i></p><p><b>Department &amp; Position Overview:</b></p>
<p>
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.</p>
<p>
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.</p>
<p><b>
Everyday You Will:</b></p>
<p>
Apply AI to Core Business Workflows</p>
<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><p>Prompt Engineering &amp; AI Optimization
</p><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>
<p>Build &amp; Integrate Solutions
</p><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><p>Drive Measurable Impact
</p><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>
<p>Enable Adoption Across Teams
</p><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><p><b>What Success Looks Like</b>
</p><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>
<p><b>Ideal Candidate will Possess</b></p>
<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>
<p><b>Nice to Have
</b></p><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>
<p><b>Why work at FreedomCare?</b></p>
<p>
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.</p>
<p>
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!</p>
<p><i>
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.</i></p>
<p><i>
#INDLV</i></p></div>

AI Prompt Engineer

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><p>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.</p><p><b>
What we are building &mdash; now:</b></p><ul><li><p>
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)</p></li><li><p>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</p></li><li><p>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</p></li><li><p>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</p></li><li><p>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</p></li><li><p>
AI-enabled situational awareness and crisis management systems</p></li><li><p>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing</p><p>
governance operations the organization requires</p></li></ul><p><b>
How we work:</b></p><ul><li><p>
Small team, high ownership &mdash; every engineer owns a module end-to-end</p></li><li><p>
Two-week sprints with demonstrated output at every review</p></li><li><p>
Ship and improve &mdash; working systems beat perfect designs</p></li><li><p>
Core team owns all architecture and product decisions; external capacity executes within defined scope</p></li><li><p>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</p></li><li><p>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</p></li><li><p>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</p></li></ul>
</div><div><p>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.</p><p><b>
Mission</b></p><p>
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.</p><p>
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.</p><p><b>
What This Role Owns</b></p><ul><li><p>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</p></li><li><p>
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</p></li><li><p>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</p></li><li><p>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</p></li><li><p>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</p></li><li><p>
Prompt versioning: templates in configuration, editable without code changes</p></li><li><p>
Observability: every LLM call logged with input hash, model version, output, latency, token count</p></li><li><p>
Fallback logic: graceful degradation when LLM APIs are unavailable</p></li><li><p>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</p></li><li><p>
Confidence threshold tuning based on evaluation results</p></li><li><p>
Context window packing &mdash; what data fits within token budgets</p></li><li><p>
Fallback behavior when APIs degrade</p></li><li><p>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</p></li><li><p>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Define AI architecture or agent design patterns (Principal AI Engineer)</p></li><li><p>
Build the agentic platform itself (external partner)</p></li><li><p>
Build the backend API or data pipelines</p></li><li><p>
Fine-tune or train models</p></li><li><p>
Define governance policies (Governance Lead)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
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.</p>
</div><div><ul><li><p>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</p></li><li><p>
Prompt engineering for classification &mdash; zero-shot and few-shot</p></li><li><p>
Python &mdash; async API calls, retry logic, exponential backoff</p></li><li><p>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</p></li><li><p>
Structured output &mdash; JSON schema enforcement, Pydantic validation</p></li><li><p>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</p></li><li><p>
Token budgeting and context window management</p></li><li><p>
AI observability &mdash; output quality monitoring, anomaly detection</p></li><li><p>
FastAPI and Docker</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

AI Engineer

Openkyber

<div><p>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.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

OCI AI Infrastructure Engineer

instrument

<div></div><div><div><p>Instrument is a digitally native design and technology company built to help brands unlock their full potential. Since 2005, our team of makers, thinkers, and storytellers has partnered with leading brands like Google, Nike, Uber, ŌURA, and Eventbrite to craft digital experiences that create impact and drive results.</p><p>
Unlike traditional agencies, we don&rsquo;t just design&mdash;we build. Our work lives at the intersection of taste and technology, powered by curiosity, thoughtful curation, and a commitment to delivering the most fitting solution for every brief. We bring this to life across three core offerings: Brand, Marketing, and Product.</p><p>
As a member of our freelance network, you&rsquo;ll collaborate with our teams to bring bold ideas to life&mdash;whether launching new brands, building digital products, or shaping experiences that move people. We welcome collaborators from all backgrounds and experiences who share our curiosity, creativity, and care for craft.</p><p>
We believe great work comes from diverse perspectives and shared purpose. If you&rsquo;re passionate about learning, experimenting, and making work that matters, we&rsquo;d love to hear from you.</p><p>
The Project: We are developing a highly complex, stateful, multi-agent simulation engine driven by generative AI. This is a greenfield project exploring new forms of non-linear, narrative-based user interaction at scale. Unlike typical stateless web apps, this system requires persistent &quot;memory&quot; for thousands of unique, evolving user sessions. We are building an architecture where multiple AI agents orchestrate complex logic, maintain long-term context, and react to user inputs in real-time.</p><p>
The Role: You will serve as the Sr. AI Engineer, focusing on the core intelligence and agentic logic that drives the application. You will be responsible for designing the multi-agent architecture that manages our core interactive loops, dynamic scenario generation, and global system state aggregation. You will be the team&rsquo;s primary authority on how we talk to large language models, ensuring that our agents are fast, reliable, and strictly scoped to their specific domains to minimize latency and hallucination.</p><p>
This is a part-time contract role (20 hrs/week) from 4/13&ndash;5/29, with a strong likelihood of extension through October at full-time hours.</p></div><div><div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><div>
<ul>
<li><p><b>Agent Design &amp; Orchestration:</b> Build and manage the logic for complex multi-agent workflows. You will design the systems that handle user onboarding (profile generation), dynamic scenario creation, and real-time interactive simulation loops.</p>
</li>
<li><p><b>Context Engineering:</b> Architect state management for the LLMs to prevent &quot;context rot&quot; and hallucination. You will strictly govern what each agent knows, structuring context dynamically to maximize token caching and minimize latency.</p>
</li>
<li><p><b>Advanced Prompting &amp; Evals Infrastructure:</b> Write, test, and version-control robust system instructions for standalone LLMs and multi-agent workflows. You will design, implement, and own a rigorous evaluations (evals) framework to programmatically score both individual prompt performance and end-to-end agent lifecycles. You will establish the CI/CD-style testing loops required to iterate on model behavior predictably and safely at scale.</p>
</li>
<li><p><b>Moderation and Security Risk Mitigation:</b> Design and implement pipelines in collaboration with our backend team that moderate harmful or offensive user inputs while also mitigating prompt injection attacks and undesired LLM outputs.</p>
</li>
<li><p><b>Full-Stack Integration:</b> Work closely with backend and frontend teams to seamlessly integrate AI outputs into the user interface, ensuring smooth data flow from the models down to the client.</p>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2><ul><li><div>
<ul>
<li><p><b>Core Engineering Foundation:</b> Strong traditional programming background. You must understand software architecture and be capable of writing production-grade code. You cannot rely solely on AI coding assistants or vibe coding.</p>
</li>
<li><p><b>Generative AI Experience:</b> 1&ndash;3 years of deep, hands-on experience building and deploying LLM-backed applications in production.</p>
</li>
<li><p><b>Language Proficiency:</b> Strong proficiency in <b>Python</b>. Strong proficiency in <b>TypeScript</b> and familiarity with modern reactive frontend frameworks (preferably Angular v21).</p>
</li>
<li><p><b>Agent Frameworks:</b> Hands-on experience with modern agent harnesses (e.g., LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Google ADK). Strong preference for candidates with experience using ADK<i>.</i></p>
</li>
<li><p><b>Context &amp; Latency Optimization:</b> Deep understanding of how LLMs process information. You must have proven experience optimizing token usage, leveraging caching, prompt and context engineering, and designing systems that fetch only the exact context an agent needs at any given moment.</p>
</li>
<li><p><b>Risk Mitigation:</b> Hands-on experience with designing and employing guardrails for agents&rsquo; actions and outputs while also mitigating prompt injection attacks.</p><b>
</b></li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Ideally You Are</b></h2><ul><li><div>
<ul>
<li><p><b>A Pioneer:</b> You thrive in an emerging tech landscape where best practices are still being written, and you are excited to help define them.</p>
</li>
<li><p><b>A Precision Communicator:</b> You understand that a single ambiguous word in a system prompt can derail an entire multi-agent workflow.</p>
</li>
<li><p><b>Latency-Obsessed:</b> You don't just care that the model gets the right answer; you care about how many milliseconds it took to generate it, and you actively design to reduce that overhead, especially when combined with content moderation and prompt injection mitigation strategies.</p>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Core Tech Skills</b></h2><ul><li><div>
<ul>
<li><div><b>Android</b></div><b>
</b></li>
<li><div>Augmented Reality / Virtual Reality (AR/VR)</div>
</li>
<li><div>AWS</div>
</li>
<li><div>Back-end</div>
</li>
<li><div>Creative Technologist</div>
</li>
<li><div>Database</div>
</li>
<li><div>Dev-Ops</div>
</li>
<li><div>Django</div>
</li>
<li><div>E-Commerce</div>
</li>
<li><div>Front-end</div>
</li>
<li><div>Full-stack *</div>
</li>
<li><div>GCP *</div>
</li>
<li><div>iOS</div>
</li>
<li><div>Java</div>
</li>
<li><div>Javascript *</div>
</li>
<li><div>Leader</div>
</li>
<li><div>Marketing</div>
</li>
<li><div>Media</div>
</li>
<li><div>Mobile</div>
</li>
<li><div>Node</div>
</li>
<li><div>Objective-C</div>
</li>
<li><div>Product Development</div>
</li>
<li><div>Product Manager</div>
</li>
<li><div>Prototyping *</div>
</li>
<li><div>Python *</div>
</li>
<li><div>QA</div>
</li>
<li><div>React</div>
</li>
<li><div>Swift</div>
</li>
<li><div>Systems Architecture *</div>
</li>
<li><div>Tech Producer</div>
</li>
<li><div>Typescript *</div>
</li>
<li><div>Unity</div>
</li>
<li><div>UX *</div>
</li>
<li><div>Wagtail</div>
</li>
</ul></div></li><li><div>Additional Hard Skills/Knowledge:</div></li>
<li><div>
<ul><li><div><b>Prompt Engineering</b></div><b>
</b></li>
<li><div>Context Engineering</div>
</li>
<li><div>LLM APIs</div>
</li>
<li><div>LLM Agents</div>
</li>
<li><div>Agent Orchestration Harness (e.g. OpenAI Agents SDK / Claude Agent SDK / Google ADK / LangGraph / CrewAI)</div>
</li>
<li><div>AI Evals</div>
</li>
<li><div>AI security, guardrails, and risk management</div>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Pay Range</b></h2><ul><li><div>
<ul><li>The expected pay range for this role is $61 -$78 per hour based on the US 3 pay range for a W-2 temporary engagement
</li><li>Our company has three regional pay bands that it adheres to depending on your location, we reference them as US 1, US 2, and US 3</li></ul>
<ul><li>US 3 is our base pay. Examples of cities in US 3 are Portland, Houston and Miami.</li></ul>
<ul><li>US 2 pay is 7.5% higher than US 3 to meet the market rates. Examples of cities in US 2 are Los Angeles, Chicago and Seattle</li></ul>
<ul><li>US 1 pay is 15% higher than US 3 to meet market rates. Examples of cities in US 1 are Brooklyn and San Francisco</li></ul>
<ul><li>If you are curious which region you are in, please apply and get connected with our recruiting team!</li></ul></div></li></ul></div></div></div><div></div>

Senior AI Engineer (Contract)

Flip

<div>
 <strong>
  TITLE:
 </strong>
 Software Engineer
 <br/>
 <br/>
 <strong>
  Reporting To:
 </strong>
 Software Engineer Lead
 <br/>
 <br/>
 <strong>
  LOCATION
 </strong>
 : Marina del Rey, CA (Onsite M - F)
 <br/>
 <br/>
 <strong>
  Who The Flip Is Flip?
  <br/>
  <br/>
 </strong>
 Ever call your favorite eCommerce brand or healthcare provider, and have a crazy good Voice AI answer? That's Flip. Hundreds of brands from Under Armour and Tory Burch in retail to Experity and Fast Pace Health in healthcare trust Flip to have millions of phone calls with their customers every month.
 <br/>
 <br/>
 We've built our company on the idea that the best way to grow is to have a reference list as long as our customer list, and a constant belief that the team is the best thing we've built. Both are true today and increasingly so every day.
 <br/>
 <br/>
 Many on our team would tell you this is their favorite place they've ever worked, and the hardest they've ever worked. It's ideal for people who want to go all-in, do the work, ride the roller coaster, and have a great Flippin time doing it. We're a small and mighty team of 50 today with offices in NYC, LA, and the UK.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 At Flip, you'll create user experiences, design and implement new features, and oversee entire pipelines of the Flip assistant. You'll also get deep into the data, interact with our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!
 <br/>
 <br/>
 You will get to work on intricate Python-based systems that interface with a wide range of external APIs, develop optimized LLM interfaces, handle complex dialogue management and flows, shape conversational workflows, and ensure low-latency, high-availability voice experiences.
 <br/>
 <br/>
 <strong>
  Who You Are, As An Engineer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You're able to dive into the deep end of a complex Python codebase, and quickly understand what's going on from the syntax.
  </li>
  <li>
   You write clean, pythonic, well-tested, and maintainable code, building off existing functionality appropriately, and adopting established code style.
  </li>
  <li>
   You can perform thorough yet swift PR code reviews &ndash; for code written by the R&amp;D team and your own.
  </li>
  <li>
   You are fast yet meticulous, proactive yet careful, autonomous yet unafraid to ask for help.
  </li>
  <li>
   You own your work and take responsibility, fostering trust with all your colleagues.
  </li>
  <li>
   You are able to multitask, actually and literally.
  </li>
  <li>
   You constantly monitor performance and can troubleshoot production issues across services and integrations in a timely manner.
  </li>
  <li>
   You strive to always push the product forwards, and generally not concerned about theoretical engineering perfection when it doesn't matter.
  </li>
  <li>
   You really, really care about the customer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are, As A Person
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a BS in Computer Science, Mathematics or Engineering, or related scientific or technical discipline.
  </li>
  <li>
   You are an exceptional programmer, and have a strong proficiency in Python (minimum of 3-5 years): you can write pythonic code and have experience working with asyncio, decorators, advanced class usage (dataclasses, inheritance), an array of modules, and frameworks like FastAPI or Pipecat.
  </li>
  <li>
   Familiarity with REST APIs, authentication methods (OAuth2, JWT, Bearer Tokens, etc), and third-party integrations.
  </li>
  <li>
   You have a good working knowledge of data analytics and metrics pipelines, and have worked with data analytics systems such as Omni, Tableau, Looker, Grafana, etc.
  </li>
  <li>
   You put in the time and dedication to write, iterate, deploy, and monitor work you're proud of.
  </li>
  <li>
   You can effectively communicate with non-technical teammates and clients when needed.
  </li>
  <li>
   You are eager and willing to support your teammates &ndash; just like they will be with you!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonuses
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself.
  </li>
  <li>
   You have experience with Pipecat, or TTS and STT pipelines in general.
  </li>
  <li>
   You have experience working with AWS cloud services, Google Cloud, Kubernetes, and/or Ansible, and know your way around a terminal.
  </li>
  <li>
   You have an entrepreneurial drive, and know what it's really like to work at a successful startup.
  </li>
  <li>
   You can work onsite in our NYC/LA office &ndash; Partnering closely with the rest of the R&amp;D Team, and Product and Customer Success Managers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We're international, spanning the US, UK, and Canada
  </li>
  <li>
   We've raised +$30M to date including our recent $20M Series A - backed by Ridge, Next Coast, ScOp, Bullpen Capital, Data Point and Forum Ventures, as well as founders &amp; executives from Amazon Alexa, Ada, Attentive, and Simon Data
  </li>
  <li>
   Comprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the year
  </li>
  <li>
   In office 5 days/week
   <br/>
   <br/>
  </li>
 </ul>
 #FlippinLegend
 <br/>
 <br/>
 Final compensation may vary based on location, experience, and qualifications. This role is also eligible for equity, in accordance with company policy, and subject to board approval.
 <br/>
 <br/>
 Compensation Range:
 <br/>
 <br/>
 $110,000&mdash;$150,000 USD
 <br/>
 <br/>
 Our customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.
</div>


Software Engineer

<div>
 <strong>
  TITLE:
 </strong>
 Software Engineer
 <br/>
 <br/>
 <strong>
  Reporting To:
 </strong>
 Software Engineer Lead
 <br/>
 <br/>
 <strong>
  LOCATION
 </strong>
 : Brooklyn, New York (Onsite M-F)
 <br/>
 <br/>
 <strong>
  Who The Flip Is Flip?
  <br/>
  <br/>
 </strong>
 Ever call your favorite eCommerce brand or healthcare provider, and have a crazy good Voice AI answer? That's Flip. Hundreds of brands from Under Armour and Tory Burch in retail to Experity and Fast Pace Health in healthcare trust Flip to have millions of phone calls with their customers every month.
 <br/>
 <br/>
 We've built our company on the idea that the best way to grow is to have a reference list as long as our customer list, and a constant belief that the team is the best thing we've built. Both are true today and increasingly so every day.
 <br/>
 <br/>
 Many on our team would tell you this is their favorite place they've ever worked, and the hardest they've ever worked. It's ideal for people who want to go all-in, do the work, ride the roller coaster, and have a great Flippin time doing it. We're a small and mighty team of 50 today with offices in NYC, LA, and the UK.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 At Flip, you'll create user experiences, design and implement new features, and oversee entire pipelines of the Flip assistant. You'll also get deep into the data, interact with our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!
 <br/>
 <br/>
 You will get to work on intricate Python-based systems that interface with a wide range of external APIs, develop optimized LLM interfaces, handle complex dialogue management and flows, shape conversational workflows, and ensure low-latency, high-availability voice experiences.
 <br/>
 <br/>
 <strong>
  Who You Are, As An Engineer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You're able to dive into the deep end of a complex Python codebase, and quickly understand what's going on from the syntax.
  </li>
  <li>
   You write clean, pythonic, well-tested, and maintainable code, building off existing functionality appropriately, and adopting established code style.
  </li>
  <li>
   You can perform thorough yet swift PR code reviews &ndash; for code written by the R&amp;D team and your own.
  </li>
  <li>
   You are fast yet meticulous, proactive yet careful, autonomous yet unafraid to ask for help.
  </li>
  <li>
   You own your work and take responsibility, fostering trust with all your colleagues.
  </li>
  <li>
   You are able to multitask, actually and literally.
  </li>
  <li>
   You constantly monitor performance and can troubleshoot production issues across services and integrations in a timely manner.
  </li>
  <li>
   You strive to always push the product forwards, and generally not concerned about theoretical engineering perfection when it doesn't matter.
  </li>
  <li>
   You really, really care about the customer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are, As A Person
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a BS in Computer Science, Mathematics or Engineering, or related scientific or technical discipline.
  </li>
  <li>
   You are an exceptional programmer, and have a strong proficiency in Python (minimum of 3-5 years): you can write pythonic code and have experience working with asyncio, decorators, advanced class usage (dataclasses, inheritance), an array of modules, and frameworks like FastAPI or Pipecat.
  </li>
  <li>
   Familiarity with REST APIs, authentication methods (OAuth2, JWT, Bearer Tokens, etc), and third-party integrations.
  </li>
  <li>
   You have a good working knowledge of data analytics and metrics pipelines, and have worked with data analytics systems such as Omni, Tableau, Looker, Grafana, etc.
  </li>
  <li>
   You put in the time and dedication to write, iterate, deploy, and monitor work you're proud of.
  </li>
  <li>
   You can effectively communicate with non-technical teammates and clients when needed.
  </li>
  <li>
   You are eager and willing to support your teammates &ndash; just like they will be with you!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonuses
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself.
  </li>
  <li>
   You have experience with Pipecat, or TTS and STT pipelines in general.
  </li>
  <li>
   You have experience working with AWS cloud services, Google Cloud, Kubernetes, and/or Ansible, and know your way around a terminal.
  </li>
  <li>
   You have an entrepreneurial drive, and know what it's really like to work at a successful startup.
  </li>
  <li>
   You can work onsite in our NYC/LA office &ndash; Partnering closely with the rest of the R&amp;D Team, and Product and Customer Success Managers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We're international, spanning the US, UK, and Canada
  </li>
  <li>
   We've raised +$30M to date including our recent $20M Series A - backed by Ridge, Next Coast, ScOp, Bullpen Capital, Data Point and Forum Ventures, as well as founders &amp; executives from Amazon Alexa, Ada, Attentive, and Simon Data
  </li>
  <li>
   Comprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the year
  </li>
  <li>
   In office 5 days/week
   <br/>
   <br/>
  </li>
 </ul>
 #FlippinLegend
 <br/>
 <br/>
 Final compensation may vary based on location, experience, and qualifications. This role is also eligible for equity, in accordance with company policy, and subject to board approval.
 <br/>
 <br/>
 Compensation Range:
 <br/>
 <br/>
 $110,000&mdash;$150,000 USD
 <br/>
 <br/>
 Our customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.
</div>


Carpe Diem

<p>Carpe Diem Team is Hiring AI Video Creator to join our Team</p><p>About Us: Carpe Diem is a dynamic and rapidly expanding organization with a team of 600+ dedicated professionals. We proudly serve 400+ active clients, delivering unparalleled solutions and services. As we continue to grow, we're seeking a highly skilled AI Video Creator to enhance our efforts and further our mission.</p><p><b>Position Overview</b></p><p>Generate and edit high-performing short-form video content using AI generation and editing tools. Use prompt engineering to create original video content with tools like Sora, Veo 3, Runway, and Higgsfield, and edit into scroll-stopping reels that drive engagement and conversions.</p><p>Experience: 1-2 Years relevant field</p><p>Job Type: Full Time</p><p>Salary: Market Competitive + Short and Long Term Benefits</p><p>Timings: 11:00 AM to 08:00 PM</p><p><b>Responsibilities</b></p><ul><li>Generate AI videos using prompt-based tools (Sora, Veo 3, Runway, Higgsfield, Kling AI)</li><li>Write and optimize prompts for video generation models</li><li>Edit AI-generated footage into polished reels using CapCut and similar tools</li><li>Implement viral content frameworks: hook patterns, pacing, text overlays, transitions</li><li>Adapt content for platform requirements (Instagram Reels, TikTok, YouTube Shorts)</li><li>Document successful prompt formulas and creative frameworks</li><li>Stay current on new AI video generation models and capabilities</li></ul><p><b>Required Skills</b></p><ul><li>1-2+ years experience with AI video generation tools (HeyGen, Kling, Higgsfield)</li><li>Strong prompt engineering abilities - understanding how to describe scenes, motion, style, lighting</li><li>Video editing proficiency in AI-powered platforms (CapCut, Descript, Runway)</li><li>Deep understanding of Instagram/TikTok/YouTube Shorts algorithms and formats</li><li>Ability to visualize concepts and translate them into effective prompts</li><li>Knowledge of cinematography basics (camera angles, composition, lighting) for prompt writing</li><li>Fast iteration mindset - test, analyze, refine</li><li>Portfolio demonstrating AI-generated video work</li></ul><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs200,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your current Salary?</li><li>What is your age?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Work Location: Remote</p>

AI Video Creator

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