forward deployed engineer

LiveKit

<div><h2 class="jobSectionHeader">About LiveKit</h2>
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.<h2 class="jobSectionHeader">
About This Role</h2>
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.
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.
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.
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.
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.<h2 class="jobSectionHeader">
You'll Thrive Here If You:</h2><ul><li>
are obsessed with helping developers succeed</li><li>
are known as the go-to person for solving tricky technical issues</li><li>
work hard and can move fast without sacrificing quality</li><li>
care deeply about polish, detail, and clear communication</li><li>
are a fast learner, frequently picking up new tools, systems, and skills</li></ul><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</li><li>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</li><li>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</li><li>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</li><li>
Debug and troubleshoot complex technical issues in production environments</li><li>
Lead technical workshops and architecture sessions with developers and product teams</li><li>
Translate customer needs into technical insights that inform product and platform development</li><li>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</li><li>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</li><li>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</li><li>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</li><li>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</li><li>
Experience building or integrating developer platforms or real-time systems</li><li>
Able to quickly understand complex systems and debug issues in real-world environments</li><li>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</li><li>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</li><li>
Excited to work hands-on with customers solving complex technical implementation challenges</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</li><li>
Familiarity with voice AI, conversational agents, or AI infrastructure</li><li>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</li><li>
Experience contributing to open-source projects or developer ecosystems</li><li>
Previous experience building with or integrating LiveKit</li></ul><h2 class="jobSectionHeader">
Our Commitment to You</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
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.
Compensation Range: &pound;126K - &pound;185K</div>

Forward Deployed Engineer

<div><h2 class="jobSectionHeader">About LiveKit</h2>
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.<h2 class="jobSectionHeader">
About This Role</h2>
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.
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.
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.
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.
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.<h2 class="jobSectionHeader">
You'll Thrive Here If You:</h2><ul><li>
are obsessed with helping developers succeed</li><li>
are known as the go-to person for solving tricky technical issues</li><li>
work hard and can move fast without sacrificing quality</li><li>
care deeply about polish, detail, and clear communication</li><li>
are a fast learner, frequently picking up new tools, systems, and skills</li></ul><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</li><li>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</li><li>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</li><li>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</li><li>
Debug and troubleshoot complex technical issues in production environments</li><li>
Lead technical workshops and architecture sessions with developers and product teams</li><li>
Translate customer needs into technical insights that inform product and platform development</li><li>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</li><li>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</li><li>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</li><li>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</li><li>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</li><li>
Experience building or integrating developer platforms or real-time systems</li><li>
Able to quickly understand complex systems and debug issues in real-world environments</li><li>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</li><li>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</li><li>
Excited to work hands-on with customers solving complex technical implementation challenges</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</li><li>
Familiarity with voice AI, conversational agents, or AI infrastructure</li><li>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</li><li>
Experience contributing to open-source projects or developer ecosystems</li><li>
Previous experience building with or integrating LiveKit</li></ul><h2 class="jobSectionHeader">
Our Commitment to You</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
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.
Compensation Range: ₹90L - ₹1.1Cr</div>

Accenture

<div>Project Role : Forward Deployed Engineer 
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
 
Must have skills : Generative AI 
Good to have skills : Python (Programming Language), AI Agents &amp; Workflow Integration 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary:
 
As a Forward Deployed Lead Engineer, you will lead the architecture, design, and delivery of enterprise-scale AI solutions. You will provide technical leadership across initiatives involving LLMs, Agentic AI, RAG, workflow orchestration, and enterprise integrations while driving solutioning, innovation, and scalable solution delivery across complex business environments. 
 
Roles &amp; Responsibilities:
 
<ul><li>Lead architecture and implementation of enterprise AI solutions.</li><li>Analyze complex business challenges and define scalable AI solution architectures</li><li>Lead solutioning workshops and architecture discussions with business and technical stakeholders.</li><li>Define scalable architectures for AI agents, RAG systems, and intelligent workflow orchestration.</li><li>Drive technical decisions related to model selection, prompt engineering, evaluation frameworks, governance, and responsible AI.</li><li>Design enterprise integration patterns across business applications and cloud platforms.</li><li>Drive technical problem-solving across multiple teams and programs.</li><li>Collaborate with stakeholders, architects, and engineering teams to deliver business outcomes.</li><li>Mentor engineers, conduct design reviews, and establish engineering best practices.</li><li>Drive innovation and adoption of AI technologies across multiple programs and teams.</li></ul> 
 
Professional &amp; Technical Skills:
 
<ul><li>Must Have Skills Strong expertise in Python and enterprise application development.</li><li>Experience designing and delivering AI-powered solutions leveraging LLMs.</li><li>Deep understanding of Agentic AI, workflow orchestration, and enterprise automation.</li><li>Strong experience with RAG architectures, vector databases, embeddings, and semantic search.</li><li>Experience with prompt engineering, model evaluation, and AI governance.</li><li>Strong solution architecture and system design skills.</li><li>Strong problem-solving, solutioning, and consulting capabilities.</li><li>Ability to engage with business stakeholders and translate requirements into scalable technical solutions.</li><li>Strong communication, stakeholder management, and technical leadership skills.</li></ul> 
Preferred Skills: 
<ul><li>Experience with Google Cloud Platform (GCP).</li><li>Experience with Gemini, Vertex AI, Agent Builder, Vertex AI Search, or similar cloud AI services.</li><li>Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, ADK, or equivalent.</li><li>Experience with open-source models and enterprise AI platforms.</li><li>Experience designing cloud-native and scalable enterprise architectures.</li></ul> 
 
Additional Information:
 
<ul><li>The candidate should have a minimum of 7.5 years of overall professional experience.</li><li>Experience leading the design and delivery of enterprise AI, automation, or data-driven solutions is preferred.</li><li>Experience driving architecture decisions, mentoring teams, and delivering large-scale enterprise solutions is highly desirable.</li><li>A 15 years full-time education is required.</li></ul></div>
 
15 years full time education

Project Role : Forward Deployed Engineer 
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
 
Must have skills : Generative AI, Python (Programming Language) 
Good to have skills : AI Agents &amp; Workflow Integration 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary : 
As a Forward Deployed Lead Engineer, you will lead the architecture, design, and delivery of enterprise-scale AI solutions. You will provide technical leadership across initiatives involving LLMs, Agentic AI, RAG, workflow orchestration, and enterprise integrations while driving solutioning, innovation, and scalable solution delivery across complex business environments. 
 
Roles &amp; Responsibilities 
Lead architecture and implementation of enterprise AI solutions. 
Analyze complex business challenges and define scalable AI solution architectures. 
Lead solutioning workshops and architecture discussions with business and technical stakeholders. 
Define scalable architectures for AI agents, RAG systems, and intelligent workflow orchestration. 
Drive technical decisions related to model selection, prompt engineering, evaluation frameworks, governance, and responsible AI. 
Design enterprise integration patterns across business applications and cloud platforms. 
Drive technical problem-solving across multiple teams and programs. 
Collaborate with stakeholders, architects, and engineering teams to deliver business outcomes. 
Mentor engineers, conduct design reviews, and establish engineering best practices. 
Drive innovation and adoption of AI technologies across multiple programs and teams. 
 
Professional &amp; Technical Skills 
Must Have Skills Strong expertise in Python and enterprise application development. 
Experience designing and delivering AI-powered solutions leveraging LLMs. 
Deep understanding of Agentic AI, workflow orchestration, and enterprise automation. 
Strong experience with RAG architectures, vector databases, embeddings, and semantic search. 
Experience with prompt engineering, model evaluation, and AI governance. 
Strong solution architecture and system design skills. 
Strong problem-solving, solutioning, and consulting capabilities. 
Ability to engage with business stakeholders and translate requirements into scalable technical solutions. 
Strong communication, stakeholder management, and technical leadership skills. 
 
Preferred Skills 
Experience with Google Cloud Platform (GCP). 
Experience with Gemini, Vertex AI, Agent Builder, Vertex AI Search, or similar cloud AI services. 
Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, ADK, or equivalent. 
Experience with open-source models and enterprise AI platforms. 
Experience designing cloud-native and scalable enterprise architectures. 
 
Additional Information 
The candidate should have a minimum of 7.5 years of overall professional experience. 
Experience leading the design and delivery of enterprise AI, automation, or data-driven solutions is preferred. 
Experience driving architecture decisions, mentoring teams, and delivering large-scale enterprise solutions is highly desirable. 
A 15 years full-time education is required.
 
15 years full time education

Salesforce

<div>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.
Job Category
Sales
Job Details
About Salesforce
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.
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.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>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.
</li><li>Ability to travel to customer sites as needed to ensure client success
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
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 be your best , and our AI agents accelerate your impact so you can do your best . 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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
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.
Posting Statement
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.</div>

Forward Deployed Engineer, Arabic Speaking

Typeform

<div><div><h3 class="jobSectionHeader">Who we are</h3>

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year&mdash;and integrates with essential tools like Slack, Zapier, and Hubspot.</div><div><h2 class="jobSectionHeader">
About the team</h2>

Typeform is a leading provider of interactive forms, surveys, and data collection experiences. We help businesses create more engaging ways to collect, manage, and understand data.

This team sits at the intersection of our go-to-market and product organizations, working directly with enterprise customers to validate use cases, accelerate strategic opportunities, and shape how our products evolve through real-world customer engagement.
<h2 class="jobSectionHeader">
About the role</h2>

We're looking for a Senior Forward Deployed Engineer to bridge the gap between our enterprise customers and our product, building prototypes for strategic opportunities that accelerate sales cycles and inform product development.

This role is ideal for someone who thrives on direct customer engagement and enjoys turning ambiguous enterprise requirements into working software&mdash;fast. You'll build prototypes, support high-value enterprise deals, and translate customer needs into insights that directly shape our product roadmap.

You'll partner closely with Sales, Product, and Engineering teams to validate customer use cases, deliver solutions in the field, and feed learnings back into how we build.
<h2 class="jobSectionHeader">
Things you will do</h2>
<ul><li>Build and deliver prototypes for strategic enterprise opportunities, accelerating sales cycles and de-risking deals</li>
<li>Engage directly with enterprise customers to understand their requirements, workflows, and technical environments</li>
<li>Support enterprise deals as the technical bridge between customer needs and product capabilities</li>
<li>Translate customer requirements into clear technical specifications and actionable product insights</li>
<li>Collaborate with Product and Engineering teams to feed field learnings into the product roadmap</li>
<li>Validate customer use cases for new product initiatives through hands-on prototyping and iteration</li>
<li>Identify reusable patterns across customer engagements and drive their productization</li>
<li>Build strong relationships with key stakeholders across Sales, Product, Engineering, and customer organizations</li>
<li>Work on ongoing field engineering initiatives, including:
<ul><li>Prototype delivery for strategic enterprise opportunities</li>
<li>New product launch support and customer validation</li>
<li>Productization of successful prototype concepts</li>
<li>Establishing scalable Forward Deployed Engineering practices</li>
</ul></li>Participate in architecture and solution discussions, contributing practical, customer-informed engineering perspectives 
<li>
</li>
</ul><h2 class="jobSectionHeader">What you already bring to the table</h2>
<ul><li>Strong fullstack engineering experience, with the ability to build and ship working solutions quickly</li>
<li>Solid experience designing and working with APIs and integrating across systems</li>
<li>Experience with cloud platforms and modern application architecture</li>
<li>Experience working directly with enterprise customers and navigating their technical requirements</li>
<li>Strong sense of ownership and the ability to drive projects independently from ambiguity to delivery</li>
<li>Excellent communication skills, with the ability to translate between technical and business stakeholders</li>
<li>Customer-focused mindset, with genuine curiosity about customer problems and workflows</li>
<li>Comfort operating in ambiguous, fast-moving environments where priorities evolve</li>
Strong collaboration skills across Sales, Product, and Engineering functions 
<li>
</li>
</ul><h2 class="jobSectionHeader">Extra awesome</h2>
<ul><li>Previous experience in a Forward Deployed Engineering, Solutions Engineering, or similar customer-facing technical role</li>
<li>Experience working in a product led SaaS company</li>
<li>Exposure to AI/LLM technologies and building AI-powered solutions</li>
<li>Experience working in startup or high-growth environments</li>
<li>Degree in Computer Science or a related technical field</li> 
</ul></div><div><ul><li>Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual&rsquo;s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.</li></ul>

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind&mdash;whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.</div></div>

Senior Forward Deployed Engineer

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Competitive Salary!
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

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