build and deployment engineer

Sulava MEA

<div>
 We are looking for a
 <strong>
  Deployment Engineer &amp; Architect
 </strong>
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 <br/>
 <br/>
 This role is a combination of
 <strong>
  hands-on engineering and architecture leadership
 </strong>
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 <strong>
  Agent Factory (FFL)
 </strong>
 model&mdash;delivering production-ready AI agents that transform business processes.
 <br/>
 <br/>
 <strong>
  <strong>
   What You Will Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
  </li>
  <li>
   Build and deploy agents using Copilot Studio and integrate with enterprise systems
  </li>
  <li>
   Develop custom plugins, connectors, and workflows to extend agent capabilities
  </li>
  <li>
   Lead technical design for Agent Factory (FFL) delivery and scaling models
  </li>
  <li>
   Work with customer teams to translate business use cases into technical solutions
  </li>
  <li>
   Implement RAG pipelines, integrations, and data orchestration for agent intelligence
  </li>
  <li>
   Set up and optimize Azure AI environments, landing zones, and deployment pipelines
  </li>
  <li>
   Ensure security, governance, and compliance in all solutions
  </li>
  <li>
   Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
  </li>
  <li>
   Support testing, optimization, and continuous improvement of agent solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You Bring
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  <strong>
   Core Engineering &amp; Architecture Skills
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
  </li>
  <li>
   Experience designing scalable cloud-native architectures
  </li>
  <li>
   Ability to lead technical design and architecture decisions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   AI &amp; Agent Development
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Hands-on experience with Copilot Studio and agent development
  </li>
  <li>
   Experience building AI solutions using Azure AI / Azure AI Foundry
  </li>
  <li>
   Understanding of multi-agent patterns, orchestration, and automation
  </li>
  <li>
   Experience integrating APIs, data sources, and enterprise systems
   <br/>
   <br/>
  </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 <br/>
 <br/>
 <strong>
  <strong>
   Data &amp; Integration
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience with RAG (Retrieval-Augmented Generation) architectures
  </li>
  <li>
   Knowledge of Azure AI Search, data pipelines, and indexing approaches
  </li>
  <li>
   Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Security &amp; Governance
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Understanding of enterprise security, identity (Entra ID), and data protection
  </li>
  <li>
   Experience implementing AI governance, compliance, and data security controls
   <br/>
   <br/>
  </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 <br/>
 <br/>
 <strong>
  <strong>
   What Makes You Successful
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   You can move from architecture to hands-on delivery seamlessly
  </li>
  <li>
   You build solutions that are production-ready, secure, and scalable
  </li>
  <li>
   You understand both technical design and real business impact
  </li>
  <li>
   You are comfortable working in fast-evolving AI environments
  </li>
  <li>
   You take ownership and drive technical outcomes end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Nice to Have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience with Power Platform (Power Automate, Dataverse)
  </li>
  <li>
   Familiarity with Copilot extensibility and plugin models
  </li>
  <li>
   Experience with DevOps / CI-CD pipelines for AI solutions
  </li>
  <li>
   Knowledge of KSA regulatory and data residency requirements
  </li>
  <li>
   Arabic language skills
  </li>
 </ul>
</div>


Deployment Engineer & Architect

CRUTZ LEELA ENTERPRISES

<p>JD - DevOps / Release &amp;amp; Build Engineer</p><p>Experience: 4&ndash;7 years</p><p>About the Role</p><p>We are hiring a DevOps / Release Engineer for our enterprise-grade, high-performance AI</p><p>inference platform, powered by our RDU (Reconfigurable Dataflow Unit) hardware. Our cloud-</p><p>agnostic MLOps platform abstracts infrastructure complexity and enables seamless</p><p>deployment, management, and scaling of foundation-model workloads at production scale.</p><p>You will be part of the build, release, and software-supply-chain backbone of a large polyglot</p><p>(Go, Rust, Python) Bazel monorepo spanning dozens of components from CI/CD and Remote</p><p>Build Execution through release packaging, Helm/Kubernetes delivery, and security &amp;amp; license</p><p>compliance. This is a role at the intersection of AI infrastructure, enterprise software, and</p><p>DevOps.</p><p>Key Responsibilities</p><ul><li>Keep CI/CD pipelines (CircleCI) stable, fast, and scalable - workflow optimization,</li></ul><p>configuration management, and reusable orbs/commands.</p><ul><li>Maintain the Bazel ecosystem (Go, Rust, Python), including RBE setup, caching,</li></ul><p>troubleshooting, and build-graph health.</p><ul><li>Maintain and improve our CircleCI setup, including workflow optimization and configuration</li></ul><p>management.</p><ul><li>CI release pipeline (nightly and release modes), including multi-image releases driven by</li></ul><p>manifest/version files.</p><ul><li>Build and publish artifacts (container images, Helm charts) to GAR / JFrog using tools like</li></ul><p>crane; manage hotfix delivery to customers.</p><ul><li>Develop, maintain and run build + smoke validation in the pipeline.</li><li>Partner with engineering teams across the platform to roll out infrastructure changes and</li></ul><p>best practices.</p><p>Required Qualifications</p><ul><li>4+ years in DevOps / Build / Release / Platform engineering.</li><li>Bazel experience in a multi-language monorepo (Go, Rust, and/or Python).</li><li>Hands-on strong CI/CD experience (CircleCI preferred; Jenkins/GitLab CI acceptable),</li></ul><p>including pipeline-as-code and workflow optimization.</p><ul><li>Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management</li><li>Strong scripting/programming skills (Python and Bash).</li><li>Experience with Linux/Unix systems and command-line interfaces</li><li>Experience in managing dependencies in large scale projects</li><li>Problem-solving, ownership mindset and cross-functional collaboration.</li></ul><p>Preferred Qualifications</p><ul><li>Familiarity with containerization (e.g., Docker)</li><li>Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.)</li><li>Experience with Python Package Management.</li><li>Google Cloud Platform (GAR, gcp CLI).</li><li>Knowledge of software development best practices and coding standards.</li></ul><p>Pay: ₹1,000,000.00 - ₹2,000,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

DevOps / Release & Build Engineer

In-Xperts GmbH

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Die Stelle auf
</b><br>
<b>einen Blick</b></h2>
<p>Unser Gesch&auml;ftspartner ist eine feste Gr&ouml;&szlig;e in der Entwicklung medizinischer Ger&auml;te in der Augenheilkunde. Kerntechnologien sind konfokale Mikroskopie, Laser-Scanning, optische Koh&auml;renztomografie (OCT), Echtzeit-Bildverarbeitung und -auswertung, multimodale Bilddatenmanagement-L&ouml;sungen (PACS), elektronische Patientendatenverwaltung und Data-Mining. Mit seinen innovativen L&ouml;sungen geh&ouml;rt man damit zu einem der &bdquo;Hidden Champions&ldquo; in Deutschland.
<br>
<br>
F&uuml;r den Bereich <b>Software Deployment</b> suchen wir einen <b>Software Engineer / DevOps (w/m/x)</b></p>
</div></div><div><div><div><div><div>Ort</div>
<div>Heidelberg</div>
</div><div><div>Art</div>
<div>Direkte Festanstellung</div>
</div><div><div>Branche</div>
<div>Developer</div>
</div><div><div>Erfahrung</div>
<div>Intermediate &ndash; Advanced</div>
</div><div><div>Gehalt</div>
<div>60.000 &ndash; 80.000</div>
</div><div><div>Sprache</div>
<div>Deutsch (B2), Englisch (B2)</div>
</div></div></div></div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Aufgabenbereich</b></h2>
<p>Sie werden Teil eines neuen internen Teams und entwickeln den Bereich des Software Deployments und der Continuos Integration Pipeline kontinuierlich weiter.</p>
<ul><li>Bereitstellung und Weiterentwicklung der Software-Installationsprogramme (Setups) und Softwarewartungs-Tools f&uuml;r die Ger&auml;te- und Prozesssoftware medizinischer Systeme</li>
<li>Definition und Optimierung zukunftsf&auml;higer Anforderungen, beispielsweise bzgl. Softwareverteilung in neuen Distributionskan&auml;len (z.B. Microsoft Store) oder mit Paketmanagement-Systemen, Azure DevOps o. &auml;.</li>
<li>Kontinuierliche Verbesserung der automatisierten Prozesse zum Bau und Test der Installer</li>
<li>Pflege und Weiterentwicklung der Continuous Integration Pipeline</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Profil</b></h2>
<ul><li>Erfolgreich abgeschlossenes Studium im Bereich Informatik oder &auml;hnlicher Background</li>
<li>Erfahrung in der Softwareentwicklung nach agilen Standards, besonders im Bereich Deployment und CI / CD</li>
<li>Praktische Erfahrungen mit mindestens einem der folgenden Werkzeuge/Techniken: InstallAware, InstallShield, Windows Installer, MSI/MSIX</li>
<li>Praktische Erfahrungen mit Versionsverwaltungssystemen wie z.B. SVN oder Git</li>
<li>Kenntnisse in Jenkins, VMWare vSphere, TestComplete, Polarion sind ein Plus</li>
<li>Kenntnisse von Werkzeugen wie Gitlab, Azure DevOps, Docker, Artifactory, NuGet, Windows Package Manager von Vorteil</li>
<li>Erfahrungen mit Programmiersprachen (z.B. C#) und Scriptsprachen (z.B. PowerShell, Python) von Vorteil</li>
<li>Deutsch &amp; Englisch mindestens B2</li>
</ul></div></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Das Angebot</b></h2>
<p>Freuen Sie sich auf ein innovatives und anspruchsvolles Umfeld im Med-Tech-Bereich. Neben Gestaltungsfreiraum wird eine langfristige Perspektive mit Weiterbildungs- und Entwicklungsm&ouml;glichkeiten geboten.</p>
<ul><li>Hybrides Arbeitsmodell mit Kontingenten</li>
<li>gezielte F&ouml;rderung und individuelle Weiterentwicklungspl&auml;ne</li>
<li>ausgeglichene Work-Life-Balance</li>
<li>30 Urlaubstage</li>
<li>BAV (arbeitgeberfinanziert)</li>
<li>Jobticket, Fitnessstudiozuschuss</li>
<li>E-Bike-Leasing</li>
<li>uvm&hellip;</li></ul></div></div></div></div></div></div></div><div></div>

Software Engineer / DevOps (w/m/x) Deployment

TARRYRISE HOME & STAFF SERVICES

<p><b>About the Role</b></p><p>We are seeking a <b>Product Owner/Forward Deployment Engineer</b> to bridge product strategy and technical execution within our Portfolio Services division. This hybrid role combines product ownership, hands-on technical implementation, and client-facing deployment to deliver AI-powered solutions that transform how we serve our clients.</p><p>You will own the complete lifecycle of AI agents and automation tools&acirc;&euro;&rdquo;from strategy and design through deployment and adoption&acirc;&euro;&rdquo;ensuring solutions are built right and adopted successfully across our organization.</p><p><b>Key ResponsibilitiesProduct Ownership &amp; Strategy</b></p><ul><li>Define and prioritize product roadmap for AI agents and automation tools, aligned with business objectives and client needs</li><li>Develop user stories, acceptance criteria, and success metrics in collaboration with stakeholders</li><li>Own the product backlog, balancing immediate business needs with long-term strategic goals</li><li>Conduct user research and gather requirements from Portfolio Services teams and clients</li></ul><p><b>Technical Deployment &amp; Implementation</b></p><ul><li>Lead end-to-end deployment of AI solutions into live Portfolio Services environments</li><li>Configure, customize, and integrate AI agents with existing systems and workflows</li><li>Troubleshoot technical issues during implementation and provide hands-on problem resolution</li><li>Build proof-of-concepts and MVPs to validate solution feasibility and business value</li></ul><p><b>Stakeholder Engagement &amp; Change Management</b></p><ul><li>Partner with Transaction Management, Lease Administration, and Consulting teams to understand pain points</li><li>Train end-users on new AI tools and capabilities, ensuring successful adoption</li><li>Gather post-deployment feedback and iterate solutions based on real-world performance</li><li>Communicate progress, challenges, and outcomes to leadership and cross-functional teams</li></ul><p><b>Governance &amp; Quality Assurance</b></p><ul><li>Ensure AI solutions comply with governance frameworks, security standards, and ethical guidelines</li><li>Document technical specifications, user guides, and deployment processes</li><li>Monitor solution performance and implement improvements based on usage data and feedback</li><li>Maintain quality standards throughout the development and deployment lifecycle</li></ul><p><b>Required QualificationsTechnical Skills</b></p><ul><li><b>10+ years</b> of experience in product management, software engineering, or technical implementation roles</li><li>Hands-on experience with AI/ML tools, automation platforms, or enterprise software deployment</li><li>Proficiency in at least one programming language (Python, JavaScript, or similar)</li><li>Understanding of APIs, system integrations, and data workflows</li><li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud)</li></ul><p><b>Business &amp; Domain Knowledge</b></p><ul><li>Understanding of commercial real estate operations, particularly Portfolio Services functions</li><li>Proven ability to translate business requirements into technical solutions</li><li>Ability to understand complex workflows and identify automation opportunities</li><li>Strong grasp of change management principles and user adoption strategies</li></ul><p><b>Core Competencies</b></p><ul><li>Excellent communication skills with ability to engage technical and non-technical audiences</li><li>Problem-solving mindset with hands-on, roll-up-your-sleeves approach</li><li>Comfortable working in ambiguous, fast-paced environments</li><li>Strong project management skills with ability to manage multiple priorities</li><li>Collaborative team player who can also work independently</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with Agile/Scrum methodologies and product management frameworks</li><li>Background in real estate technology, PropTech, or enterprise SaaS solutions</li><li>Familiarity with AI agents, LLMs, or generative AI applications</li><li>Prior experience in client-facing or consulting roles</li><li>Certifications in Product Management (CSPO, CPO) or relevant technical certifications</li></ul><p><b>What Success Looks Like</b></p><ul><li>AI solutions deployed successfully with measurable business impact (time savings, accuracy improvements, cost reduction)</li><li>High user adoption rates and positive feedback from Portfolio Services teams</li><li>Strong partnerships with technology teams and business stakeholders</li><li>Clear product roadmap aligned with strategic priorities</li><li>Solutions that scale across geographies and client accounts</li></ul><p>Application Question(s):</p><ul><li>location is Bangalore</li><li>Can you join before the official notice period? Yes/No If yes, Please share the official confirmation available for early release?</li><li>immediate joiner? If yes, please mention the confirmed Last Working Day (LWD).*</li><li> Please share 2&ndash;3 available time slots for the interview, and the candidate will be contacted accordingly. Kindly provide multiple and varied time options to ensure better alignment with the panel&rsquo;s availability</li><li>ever been employed by Ciber, HTC Global Services or Care Tech?</li><li>Salary budget is INR 2200000 - 3000000 Maximum, what are your expectations </li></ul><p>Work Location: In person</p>

Product Owner/Forward Deployment Engineer

LiveKit

<div><h2 class="jobSectionHeader"><b>About LiveKit</b></h2><p>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
About This Role</b></h2><p>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.</p><p>
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.</p><p>
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.</p><p>
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.</p><p>
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.</p><p></p><h2 class="jobSectionHeader"><b>
You'll Thrive Here If You:</b></h2><ul><li><p>
are obsessed with helping developers succeed</p></li><li><p>
are known as the go-to person for solving tricky technical issues</p></li><li><p>
work hard and can move fast without sacrificing quality</p></li><li><p>
care deeply about polish, detail, and clear communication</p></li><li><p>
are a fast learner, frequently picking up new tools, systems, and skills</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</p></li><li><p>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</p></li><li><p>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</p></li><li><p>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</p></li><li><p>
Debug and troubleshoot complex technical issues in production environments</p></li><li><p>
Lead technical workshops and architecture sessions with developers and product teams</p></li><li><p>
Translate customer needs into technical insights that inform product and platform development</p></li><li><p>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</p></li><li><p>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</p></li><li><p>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</p></li><li><p>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</p></li><li><p>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</p></li><li><p>
Experience building or integrating developer platforms or real-time systems</p></li><li><p>
Able to quickly understand complex systems and debug issues in real-world environments</p></li><li><p>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</p></li><li><p>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</p></li><li><p>
Excited to work hands-on with customers solving complex technical implementation challenges</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</p></li><li><p>
Familiarity with voice AI, conversational agents, or AI infrastructure</p></li><li><p>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</p></li><li><p>
Experience contributing to open-source projects or developer ecosystems</p></li><li><p>
Previous experience building with or integrating LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Our Commitment to You</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p></p><p><i>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.</i></p><p>
Compensation Range: &pound;126K - &pound;185K</p></div>

Forward Deployed Engineer

<div><h2 class="jobSectionHeader"><b>About LiveKit</b></h2><p>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
About This Role</b></h2><p>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.</p><p>
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.</p><p>
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.</p><p>
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.</p><p>
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.</p><p></p><h2 class="jobSectionHeader"><b>
You'll Thrive Here If You:</b></h2><ul><li><p>
are obsessed with helping developers succeed</p></li><li><p>
are known as the go-to person for solving tricky technical issues</p></li><li><p>
work hard and can move fast without sacrificing quality</p></li><li><p>
care deeply about polish, detail, and clear communication</p></li><li><p>
are a fast learner, frequently picking up new tools, systems, and skills</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</p></li><li><p>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</p></li><li><p>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</p></li><li><p>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</p></li><li><p>
Debug and troubleshoot complex technical issues in production environments</p></li><li><p>
Lead technical workshops and architecture sessions with developers and product teams</p></li><li><p>
Translate customer needs into technical insights that inform product and platform development</p></li><li><p>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</p></li><li><p>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</p></li><li><p>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</p></li><li><p>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</p></li><li><p>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</p></li><li><p>
Experience building or integrating developer platforms or real-time systems</p></li><li><p>
Able to quickly understand complex systems and debug issues in real-world environments</p></li><li><p>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</p></li><li><p>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</p></li><li><p>
Excited to work hands-on with customers solving complex technical implementation challenges</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</p></li><li><p>
Familiarity with voice AI, conversational agents, or AI infrastructure</p></li><li><p>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</p></li><li><p>
Experience contributing to open-source projects or developer ecosystems</p></li><li><p>
Previous experience building with or integrating LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Our Commitment to You</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p></p><p><i>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.</i></p><p>
Compensation Range: ₹90L - ₹1.1Cr</p></div>

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
</p><p></p><p>About the Role
</p><p>Production experience required. Builder mindset non-negotiable.
</p><p>Salesforce is hiring Forward Deployed Engineers &mdash; experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment &mdash; shipping solutions customers depend on.
</p><p></p><p>The Builder Experience
</p><ul><li><p>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools &mdash; Cursor, Claude, and Salesforce coding products like Vibes &mdash; embedded into your day-to-day workflow.
</p></li><li><p>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
</p></li><li><p>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months &mdash; spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
</p></li><li><p>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.
</p></li></ul><p></p><p>What You'll Actually Be Building
</p><ul><li><p>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
</p></li><li><p>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
</p></li><li><p>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
</p></li><li><p>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
</p></li><li><p>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
</p></li><li><p>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
</p></li><li><p>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
</p></li><li><p>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
</p></li><li><p>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
</p></li></ul><p></p><p>You're Our Forward Deployed Engineer If&hellip;
</p><ul><li><p>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) &mdash; this is a requirement, not a nice-to-have.
</p></li><li><p>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex &mdash; and willing to add to that list as the work demands.
</p></li><li><p>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
</p></li><li><p>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
</p></li><li><p>You can hold your own in a room with sales teams and customer architects.
</p></li><li><p>You ship quality code and evaluate AI outputs with engineering rigor.
</p></li><li><p>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</p></li><li><p>You thrive in the group chat that's building something, not just talking about it.
</p></li><li><p>You're excited to travel ~25% of the time, working directly alongside customers.
</p></li></ul><p></p><p>Nice-to-Haves
</p><ul><li><p>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
</p></li><li><p>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
</p></li><li><p>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
</p></li><li><p>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

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