senior ai engineer

EPAM Systems

<div><p>We're looking for a <b>Senior AI Engineer (Python</b>) to join our team in Doha, Qatar, in an onsite working mode.</p><p>
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.</p><p><b>
Responsibilities</b></p><ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul><p><b>Requirements</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul><p><b>
We offer</b></p><ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

Cognizant

<b>Location:</b> Remote
<br><b>Employment Type:</b> Full-Time
<br><b>Job ID:</b> 000 68997532
<br>Senior AI Engineer – ServiceNow Delivery Acceleration
<br>About the role
<br>As a Senior AI Engineer – ServiceNow Delivery Acceleration, you will make an impact by designing, building, and optimizing AI‑powered implementation solutions that transform how ServiceNow professional services engagements are delivered. You will be a valued member of the Delivery Acceleration team and work collaboratively with product managers, solution architects, consultants, and platform stakeholders to accelerate delivery, improve quality, and enhance customer experience.
<br><br>
<b>In this role, you will:</b><br>
Design and develop AI agent workflows that generate ServiceNow configurations, implementation plans, user stories, test scripts, and deployment artifacts from customer requirements.
<br>Lead prompt engineering efforts for large language model–based solutions, including prompt chaining, structured output generation, evaluation frameworks, and iterative quality optimization.
<br>Build reusable prompt libraries, templates, and orchestration patterns that embed implementation best practices and delivery standards into AI‑powered workflows.
<br>Align AI solutions to the professional services lifecycle, ensuring outputs support scoping, estimation, delivery execution, and go‑live readiness.
<br>Design integrations, APIs, and automation workflows that connect AI outputs with ServiceNow, internal delivery platforms, and enterprise systems.
<br>Establish quality metrics for AI outputs, analyze performance trends, and drive continuous improvement across accuracy, rework, speed, and customer acceptance.
<br>Collaborate with global cross‑functional teams in an agile, sprint‑based environment to deploy scalable, governed, and production‑ready AI capabilities.
<br>Work model
<br>We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.
<br>What you need to have to be considered
<br>5+ years of experience in software engineering, AI/ML engineering, or technical consulting within enterprise software environments.
<br>2+ years of hands‑on experience building production solutions using large language models, prompt engineering, and AI agent frameworks.
<br>Demonstrated expertise in prompt engineering techniques such as chain‑of‑thought reasoning, structured output generation, few‑shot/zero‑shot prompting, context management, and prompt evaluation.
<br>Strong understanding of professional services, delivery operations, including how engagements are scoped, estimated, staffed, and delivered.
<br>Experience with API design, system integration, and data pipelines that connect AI outputs to enterprise workflows.
<br>Proficiency in Python, JavaScript, TypeScript, or similar languages used in AI engineering and automation.
<br>Understanding of ServiceNow platform architecture, configuration patterns, and enterprise implementation approaches.
<br>Strong communication skills with the ability to translate technical AI capabilities into clear business value for stakeholders.
<br>These will help you stand out
<br>Experience building autonomous implementation, code generation, or AI‑driven delivery acceleration solutions.
<br>Familiarity with ServiceNow implementation methodologies and professional services best practices.
<br>Experience with AI agent orchestration frameworks and multi‑step workflow automation.
<br>Knowledge of responsible AI practices, validation frameworks, governance, and enterprise risk controls.
<br>ServiceNow certifications such as CSA, CIS, or related credentials.
<br>Experience with estimation platforms, resource management tools, or delivery automation systems.
<br>Background in consulting or enterprise professional services environments.
<br><br>
<b>Salary and Other Compensation:</b><br>
Applicants will be accepted till 7/06/2026
<br>Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
<br><ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
The annual salary for this position will be in the range of $134K-$158K depending on experience and other qualifications of the successful candidate.
<br>This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
<br><b>Benefits :</b> Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
<br>Medical/Dental/Vision/Life Insurance
<br>Paid holidays plus Paid Time Off
<br>401(k) plan and contributions
<br>Long-term/Short-term Disability
<br>Paid Parental Leave
<br>Employee Stock Purchase Plan
<br><b>Disclaimer:</b> The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
<br>Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
<br>If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
<br>Apply Now!
<br>#LI-IK1

Senior AI Engineer – ServiceNow Delivery Acceleration

Ruby Labs

<div><h1 class="jobSectionHeader"><b>About us</b></h1><p>
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/</p><p></p><h1 class="jobSectionHeader"><b>
About the role</b></h1><p>
At Ruby Labs we are looking for a Senior AI Engineer to own and drive the quality, reliability, and evolution of our AI systems in production.</p><p>
This is a high-ownership role. You will be responsible for end-to-end delivery of major AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse, Mixpanel and OpenRouter. You&rsquo;ll work in a modern stack built on Next.js, TypeScript, Node.js, and Redis, collaborating closely with product, growth, data, and billing teams. Increasingly, this includes building agentic, tool-using AI systems &mdash; defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services and business systems.</p><p>
Our engineering organization uses a squad-based structure. You will operate within an AI engineering squad, contributing as a senior technical voice and driving engineering quality within your area of the product.</p><p></p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li><p>
Take complete ownership and deliver major AI engineering features within agreed timelines.</p></li><li><p>
Own AI output quality, structure, and predictability across all user-facing AI interactions.</p></li><li><p>
Design, implement, and maintain output-type-based AI systems, including segmentation, routing, and enforcement.</p></li><li><p>
Ensure consistent output structure and formatting across different LLMs for the same request type.</p></li><li><p>
Integrate and orchestrate multiple LLM providers via OpenRouter, managing model selection, fallback strategies, and cost optimisations.</p></li><li><p>
Design and orchestrate tool-using and agentic AI workflows, defining clean tool contracts (including MCP-based tools), function-calling interfaces, and reliable AI-to-system integrations.</p></li><li><p>
Build and maintain complex, multi-step LLM workflows, including with orchestration frameworks such as LangChain or LlamaIndex, for advanced reasoning, context reuse, and retrieval.</p></li><li><p>
Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic.</p></li><li><p>
Own the deployment and release of LLM experiments, prompt management, and Langfuse-based evaluation pipelines.</p></li><li><p>
Run A/B tests across models, analyse results, and present data-driven impact assessments of AI features and experiments.</p></li><li><p>
Monitor AI system metrics, quality signals, latency, and release health using Langfuse and other observability tools.</p></li><li><p>
Deep-debug complex LLM chains using Langfuse traces, identifying bottlenecks and optimising for cost, latency, and context-window usage, and build output-scoring systems to root-cause hallucinations and logic errors.</p></li><li><p>
Write clean, scalable, and maintainable TypeScript code across the Next.js and Node.js stack.</p></li><li><p>
Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behaviour in production, including reliable tool execution and AI-to-service integrations.</p></li><li><p>
Ensure high code quality through testing, code reviews, and clear engineering standards.</p></li><li><p>
Monitor, troubleshoot, and improve production performance, reliability, and system health.</p></li><li><p>
Drive maintainability and technical quality through solid architecture, refactoring, and disciplined release practices.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><ul><li><p>
6+ years of backend/full-stack software engineering experience, including production-grade TypeScript/Node.js. Experience with Next.js and/or Python is a plus.</p></li><li><p>
2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates.</p></li><li><p>
Deep hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) in production environments.</p></li><li><p>
Experience with Agentic AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking.</p></li><li><p>
Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms.</p></li><li><p>
Experience with AI gateways and model routing solutions, such as OpenRouter or equivalent technologies.</p></li><li><p>
Solid understanding of Redis and relational databases, such as PostgreSQL.</p></li><li><p>
Exceptional ownership mindset and personal responsibility for engineering quality and delivery.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Nice to have</b></h1><ul><li><p>
Experience with AI-centered development tools such as Cursor, Claude Code, Windsurf, or similar platforms.</p></li><li><p>
Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches.</p></li><li><p>
Experience working in high-pressure startup environments with rapid product iteration cycles.</p></li><li><p>
Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool contracts for AI agents.</p></li><li><p>
Experience with edge and serverless runtimes, such as Cloudflare Workers, and supporting services including KV, Durable Objects, Queues, R2, and D1.</p></li><li><p>
Experience with payments, billing and checkout flows, or orchestration platforms.</p></li><li><p>
Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance.</p></li><li><p>
Working proficiency in Python for data science, evaluation scripts, or AI tooling.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Location</b></h1><p>
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately &plusmn; 4 hours of CET. This ensures optimal collaboration and communication during working hours.</p><p></p><h1 class="jobSectionHeader"><b>
Benefits</b></h1><p>
Discover the perks of being part of our vibrant team! We offer:</p><ul><li><p><b>
Remote Work Environment:</b> Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
</p></li><li><p><b>Unlimited PTO:</b> Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
</p></li><li><p><b>Paid National Holidays:</b> Celebrate and relax on national holidays with paid time off to unwind and recharge.
</p></li><li><p><b>Company-provided MacBook:</b> Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
</p></li><li><p><b>Flexible Independent Contractor Agreement:</b> Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0</p></li></ul><p>
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!</p><p></p><h1 class="jobSectionHeader"><b>
Interview Process</b></h1><p>
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:</p><ul><li><p>
Recruiter Screening (40 minutes)</p></li><li><p>
Technical Interview (60 minutes)</p></li><li><p>
Second Interview (30 minutes)</p></li><li><p>
Final Interview (20 minutes)</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Life at Ruby Labs</b></h1><p>
At Ruby Labs, we move fast, aim high, and expect the same from our team. We&rsquo;re not here to play small&mdash;we&rsquo;re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.</p><p>
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you&rsquo;re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.</p><p>
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more&mdash;more responsibility, more growth, and more success.</p><p></p><p>
#LI-Remote</p></div>

Senior AI Software Engineer

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

Interact Technology Solutions

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Senior AI Data Engineer
 </strong>
 is responsible for designing, building, and optimizing enterprise-scale data and AI infrastructure to support machine learning models, generative AI applications, and real-time analytics. The role drives the development of end-to-end data pipelines, from ingestion to production-ready AI data products, ensuring scalability, performance, and compliance across multi-cloud environments.
 <br/>
 <br/>
 <strong>
  Accountability &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools (e.g., Apache Spark, dbt).
  </li>
  <li>
   Architect and implement Lakehouse data platforms (Delta Lake, Apache Iceberg, Apache Hudi) following Medallion architecture (Bronze/Silver/Gold).
  </li>
  <li>
   Develop real-time streaming pipelines using Apache Kafka, Apache Flink, and Spark Structured Streaming.
  </li>
  <li>
   Build and optimize AI/GenAI data pipelines for LLM training, fine-tuning, and inference (tokenization, dataset curation, prompt engineering datasets).
  </li>
  <li>
   Design and implement Retrieval-Augmented Generation (RAG) pipelines, including embedding workflows and vector database integration.
  </li>
  <li>
   Manage feature stores for real-time and batch machine learning use cases.
  </li>
  <li>
   Integrate data pipelines with AI/ML platforms (Databricks MLflow, Azure ML, AWS SageMaker, Vertex AI, OpenAI/Azure OpenAI).
  </li>
  <li>
   Implement data orchestration workflows using Apache Airflow or similar tools with CI/CD pipelines.
  </li>
  <li>
   Ensure data quality, governance, and security using frameworks such as Great Expectations and data catalog tools.
  </li>
  <li>
   Deploy and manage infrastructure using Infrastructure-as-Code tools (Terraform, Bicep, CDK).
  </li>
  <li>
   Collaborate with Data Scientists, ML Engineers, and Solution Architects to deliver production-ready AI solutions.
  </li>
  <li>
   Lead technical design decisions, mentor junior engineers, and contribute to data platform strategy.
  </li>
  <li>
   Maintain documentation, data contracts, and operational runbooks for all pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  1
 </strong>
 &ndash; Required Experience
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
  </li>
  <li>
   4&ndash;5 years of experience in data engineering, with strong exposure to AI/ML data infrastructure.
  </li>
  <li>
   Proven experience building scalable data pipelines and working with large-scale datasets.
  </li>
  <li>
   Hands-on experience with AI/ML platforms and modern data architectures.
  </li>
  <li>
   Experience in regulated industries (e.g., Banking, Telecom, Healthcare) is a plus.
  </li>
  <li>
   Strong problem-solving, analytical thinking, and communication skills.
  </li>
  <li>
   Experience working in cross-functional teams and agile environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  2&ndash; Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong SQL and advanced data modeling techniques
  </li>
  <li>
   Apache Spark (PySpark, Spark SQL, Streaming)
  </li>
  <li>
   Python (pandas, PySpark, data processing libraries)
  </li>
  <li>
   Data pipeline orchestration (Apache Airflow)
  </li>
  <li>
   CI/CD for data pipelines (GitHub Actions / Azure DevOps)
  </li>
  <li>
   Lakehouse architectures (Delta Lake / Iceberg / Hudi)
  </li>
  <li>
   Streaming technologies (Kafka, Flink)
  </li>
  <li>
   Cloud platforms (AWS / Azure / GCP)
  </li>
  <li>
   Vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
  </li>
  <li>
   RAG pipeline design and LLM data processing
  </li>
  <li>
   Infrastructure-as-Code (Terraform / Bicep / CDK)
  </li>
  <li>
   Containers (Docker, Kubernetes)
  </li>
  <li>
   Data quality &amp; governance tools
  </li>
 </ul>
</div>


Senior AI Data Engineer

OpenPhone Technologies

<div></div><div><div><div><div>Remote - United States &bull; Remote - Canada</div></div><div></div><div><div>
Engineering</div></div><div></div><div><div>
Remote</div></div><div></div><div><div>
Full-time</div></div></div><div><div><div>
Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. This multi-billion dollar market has been overlooked for decades, left to cobble together solutions that slow them down instead of helping them grow.</div><div></div><div><br>
Quo is changing that. We bring calls, texts, and customer information together into one easy-to-use, AI-powered platform. We&rsquo;re not just building a phone system. We&rsquo;re setting a new standard for how businesses connect with their customers.</div><div></div><div><br>
Driven by our values, we move fast, build with determination, and obsess over delivering value to the businesses that have been underserved for far too long.</div><div></div><div><br>
Today, Quo is trusted by more than 90,000 companies and rated #1 in customer satisfaction on G2. We&rsquo;re backed by Y Combinator, Tiger Global, Craft Ventures, Slow Ventures, and other top-tier investors. It&rsquo;s safe to say we&rsquo;re onto something big.</div></div></div><div><div><div>
About the Role</div><div></div><div><br>
We're looking for a Senior AI Developer Experience Engineer to accelerate the AI tooling transformation that enables our teams to build, test, and ship with speed and confidence. You'll treat developer experience as a product - defining the strategy, driving platform adoption, and delivering measurable improvements to productivity, quality, and reliability across the software development lifecycle.</div><div></div><div><br>
This is a high-impact individual contributor role. You'll partner with senior engineering leaders across the organisation, influence standards and tooling decisions, and champion platform-first thinking - turning developer pain points into durable, scalable solutions that benefit hundreds of engineers.</div><div></div><div><br>
Some of the things you'll do:</div><br>
<div></div><ul><li>
Define and drive DevEx strategy across engineering organizations, partnering with senior leaders to align investments with business priorities</li><li>
Design, implement, and optimise CI/CD pipelines and lifecycle automation platforms</li><li>
Build developer tools and automation to simplify and expedite the software development lifecycle from requirements through release</li><li>
Define and promote golden paths for building, deploying, and operating services</li><li>
Reduce tooling fragmentation through consolidation, strong defaults, and principled standardisation</li><li>
Identify and eliminate friction across build, test, deployment, and operations workflows</li><li>
Improve and maintain core infrastructure across multi-cloud and hybrid environments</li><li>
Collaborate with cross-functional teams to drive best practices in reliability, testability, and performance</li><li>
Represent DevEx strategy in senior technical forums and drive engineering culture improvements</li><li>
Iterate on evaluation frameworks that keep automation, AI-assisted tooling, and coding agents reliable and aligned with sound software engineering practices</li></ul><div></div><div><br>
About You</div><br>
<div></div><ul><li>
8+ years of professional software engineering experience, with at least 3 years focused on developer productivity, platform engineering, or internal tooling</li><li>
Strong hands-on coding skills in one or more modern languages such as Python, Go, Java, TypeScript, Kotlin, or Swift</li><li>
Deep experience with CI/CD systems, build infrastructure, testing frameworks, and deployment automation</li><li>
Demonstrated ability to influence engineering practices across multiple teams or organisations</li><li>
Exposure to AI-assisted engineering workflows, coding agents, or LLM evaluation pipelines</li><li>
Experience improving developer productivity at a company with hundreds or thousands of engineers</li><li>
Experience identifying, measuring, and systematically eliminating friction in the software development lifecycle</li><li>
Ability to balance standardisation with developer autonomy - knowing when to enforce defaults and when to empower teams</li><li>
Proven track record of translating technical strategy into measurable outcomes</li><li>
Experience operating critical systems with high reliability, observability, and availability requirements</li><li>
Clear and effective communication skills with the ability to engage both technical and leadership audiences</li></ul><div></div><div><br>
Nice to have:</div><br>
<div></div><ul><li>
Experience building and scaling internal developer platforms as products (e.g., Backstage or similar portals)</li><li>
Experience with application lifecycle management or automation at enterprise scale</li><li>
Passion for engineering excellence and a track record of raising the technical bar across teams</li></ul><div></div><div><br>
Compensation</div><div></div><div><br>
The annual base salary range for this position is as follow, plus equity and benefits:</div><ul><li>
SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $187,000 - $220,000 USD</li><li>
All other US Locations: $169,000 - $198,000 USD</li><li>
Canada: $172,000 - $202,000 CAD</li></ul><div></div><div><br>
The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.</div><div></div><div><br>
Salary is just one component of Quo&rsquo;s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.</div></div></div><div></div><div><div><div><br>
Who we are</div><div></div><div><br>
As a fully remote company, we thrive as a team. We are curious, ambitious, and dedicated to our work. We value trust above all else, and have a strong bias for action. If you're looking for a place to do your life's work, please get in touch. We'd love to hear from you.</div><div></div><div><br>
And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. Quo is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.</div><div></div><div><i><br>
We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. </i>#LI-Remote #PostLI</div></div></div></div><p></p>

Senior AI DevEx Engineer

Workiva

<div><p>Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world&rsquo;s largest and most regulated organizations. We are seeking a <b>Senior Staff Machine Learning Engineer </b>to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.
</p><p></p><h2 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h2><h2 class="jobSectionHeader"><b>AI Platform Architecture
</b></h2><ul><li><p>Own the architecture of Workiva&rsquo;s AI platform and core AI services
</p></li><li><p>Shape how machine learning, Generative AI, and agentic systems are integrated across products
</p></li><li><p>Lead the move from early adoption to production-grade, enterprise-ready systems
</p></li><li><p>Define standards for model serving, retrieval, evaluation, governance, and platform reliability
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Agentic AI and Generative AI Leadership
</b></h2><ul><li><p>Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination
</p></li><li><p>Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows
</p></li><li><p>Establish evaluation methods and quality frameworks for Generative AI applications
</p></li><li><p>Assess emerging AI technologies and guide adoption strategy for Workiva&rsquo;s platform
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Technical Leadership
</b></h2><ul><li><p>Influence technical direction across teams, products, and platform domains
</p></li><li><p>Mentor Staff and Senior Engineers and help raise the technical bar across the organization
</p></li><li><p>Partner closely with Product, Security, Infrastructure, and Architecture leaders
</p></li><li><p>Align teams around a shared vision for scalable, secure AI at Workiva
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Security, Governance, and Reliability
</b></h2><ul><li><p>Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance
</p></li><li><p>Establish best practices for AI safety, model governance, and customer data protection
</p></li><li><p>Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support
</p></li><li><p>Design for fault tolerance and operational excellence in regulated, security-conscious environments
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>What You&rsquo;ll Need
</b></h2><h2 class="jobSectionHeader"><b>Minimum Qualifications
</b></h2><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience
</p></li><li><p>10+ years of software engineering experience, including large-scale SaaS platforms
</p></li><li><p>5+ years designing, deploying, and operating production ML, AI, or data-intensive systems
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Qualifications
</b></h2><ul><li><p>Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance.
</p></li><li><p>Deep expertise in RAG, agentic systems, and large-scale knowledge systems
</p></li><li><p>Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs
</p></li><li><p>Experience with AI evaluation, secure AI systems, and regulated enterprise environments
</p></li><li><p>Proven track record leading architecture across multiple teams or platform domains
</p></li><li><p>Strong distributed systems, cloud-native, API, reliability, and operational excellence experience
</p></li><li><p>Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++
</p></li><li><p>Proven record mentoring senior engineers and technical leaders
</p></li></ul><p></p><p><b>Working Conditions
</b></p><ul><li><p>Less than 10% travel
</p></li><li><p>Reliable internet access for remote working opportunities
</p></li></ul><p></p><p><b>How You&rsquo;ll Be Rewarded
</b></p><p></p>✅ Salary range in the US: $193,000.00 - $308,000.00
<p>✅ A discretionary bonus typically paid annually
</p><p>✅ Restricted Stock Units granted at time of hire
</p><p>✅ 401(k) match and comprehensive employee benefits package
</p><p></p><p>The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
</p><p></p><p><b>Why Join Workiva
</b></p><p></p><p>Workiva is the platform designed to bring confidence, control, and a competitive edge to the world&rsquo;s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation&mdash;ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
</p><p></p><p>At Workiva, you&rsquo;ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you&rsquo;re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we&rsquo;d love to meet you.
</p><p></p><p>Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
</p><p></p><p>Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com .<br>
<br>
</p><p>Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
</p><p></p><p><i>Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
</i></p>#LI-MJ2</div>

Senior Staff Machine Learning Engineer - US

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