ai software engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
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 About the role:
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 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
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 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
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 What you&rsquo;ll be doing:
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 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
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   Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
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   Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
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   Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
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   Ensuring the copilots and agents are scalable and maintain high performance
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   Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
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   Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
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   Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
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   Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
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 What you&rsquo;ll bring:
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 <ul>
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   Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
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   Solid understanding of and experience with LLM frameworks and conversational AI technologies.
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   Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
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   Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
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   Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
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   Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
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   A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
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   Excellent collaborative skills for working in a highly interdisciplinary subject.
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 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
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 We are Siemens:
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 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
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 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
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 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
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 #DISWSIM
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</div>


AI Software Engineer

Orange Business

<div>
 <strong>
  About Us
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 </strong>
 Join us at Orange Business!
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 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
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 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
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 <strong>
  About The Role
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  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
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  Full Stack AI Software Engineer with strong AI/ML experience
 </strong>
 to join our AI Factory team.
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 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
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  Large Language Models
 </strong>
 ,
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  Generative AI
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 , and
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  data pipelines
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 .
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 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
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  Key Responsibilities
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 </strong>
 <ul>
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   Design and develop end-to-end AI-powered applications and internal tools for business teams.
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   Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
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   Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
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   Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
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   Deploy, monitor, and maintain applications using Docker and Kubernetes.
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   Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
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   Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
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  </li>
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 Stay updated on the latest trends in
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  AI/ML
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 ,
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  Generative AI
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 , and
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  LLM frameworks
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 (LangChain, LlamaIndex, etc.)
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 <strong>
  About You
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  Required Qualifications
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 </strong>
 <ul>
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   7+ years of professional experience as a Software Engineer.
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   Strong leadership skills
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   Strong full-stack development skills:
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   Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
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   Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
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   Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
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   Solid understanding of RESTful APIs, microservices, and system design.
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   Strong problem-solving skills, with a collaborative and pragmatic mindset.
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  Preferred Qualifications
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 <ul>
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   Experience with LangChain, LlamaIndex, or similar LLM frameworks.
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   Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
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   Exposure to MLOps and AI model lifecycle management.
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   Familiarity with prompt engineering and AI agent frameworks.
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   Experience building internal tools or platforms for cross-functional teams.
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 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
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  What We Offer
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   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
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   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
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   Professional Development: training programs and upskilling/re-skilling opportunities.
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   Career Growth: Internal growth and mobility opportunities within Orange.
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   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
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   Reward Programs: Employee Referral Program, Change Maker Awards.
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  Only Your Skills Matter
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 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


Senior Full Stack AI Software Engineer

<div>
 <strong>
  Overview
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 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
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  The Opportunity
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 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
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 Core Requirements
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   5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
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   Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
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   Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
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   Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
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   Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
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   Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
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   Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
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   Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
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   Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
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   Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
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   Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
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   Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
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   hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
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   Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
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   Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
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  </li>
 </ul>
 Nice to Have
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 <ul>
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   Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
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   Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
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   Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
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   Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
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   Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
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  </li>
 </ul>
 What We Look For
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 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
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 What We Offer
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   Competitive compensation package, performance-based rewards, and recognition for your contributions.
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   Continuous learning and world-class professional development opportunities.
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   Flexible work arrangements to empower your impact.
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   Coaching, mentorship, and transformative leadership experiences.
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   A diverse, inclusive, and collaborative culture.
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  </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>


Senior Consultant - AI Software Engineer- AI Hub - Cairo

NetApp

<div><div><h2 class="jobSectionHeader"><b>Overview</b></h2>
<div>At NetApp, we have a history of helping customers turn challenges into business opportunities. That&rsquo;s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you&rsquo;ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You&rsquo;ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.</div></div></div><div></div>
<br><div><div><p><b>Own Every Moment at NetApp</b></p><p>
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure&mdash;delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.</p><p>
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.</p>
<div><div><div><h2 class="jobSectionHeader"><b>The Mission: Power the Next Generation of AI
</b></h2></div><div><p>We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible.</p><p>
These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA.</p><p>
The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data&mdash;we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests.</p><p>
This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture.</p><p>
The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science.</p><ul><li>
Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence.</li></ul><ul><li>
Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards.</li></ul><ul><li>
Amplify Your Impact with AI We don't just build AI&mdash;we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of &quot;vibe coding&quot; while maintaining the rigor of production-grade engineering.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What You'll Bring</b></h2></div><div><div><p>
You are a generalist with depth&mdash;someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call &quot;fearless curiosity&quot;.</p><p>
You thrive when:</p><ul><li>
Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale</li><li>
Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles</li><li>
Learning is relentless: You have a rich life of &quot;side quests&quot;&mdash;self-driven projects that demonstrate your curiosity beyond your day job.</li><li>
AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible</li></ul><p>
You bring:</p><ul><li>
Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk&mdash;it's about enabling the next wave of intelligent applications</li><li>
AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems.</li><li>
Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles</li><li>
Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward</li></ul><p>
What You'll Create</p><ul><li>
AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training</li><li>
Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation</li><li>
High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories</li><li>
AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems</li><li>
Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Your Qualifications</b></h2></div><div><p>
Technical Mastery:</p><ul><li>
8+ years of software development experience with a focus on systems, infrastructure, or storage technologies</li><li>
Expert-level proficiency in Golang, Python, and C/C++</li><li>
Deep understanding of Linux kernel development, file systems, and distributed systems</li><li>
Experience with performance analysis, optimization techniques, and building quantitative models</li><li>
Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases</li></ul><p>
Mindset &amp; Approach:</p><ul><li>
Bold Ideas, Grounded Execution: You dream big but ship with precision</li><li>
Relentless Curiosity: An insatiable desire to understand how things work and how to make them better</li><li>
Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback</li><li>
AI Fluency: Confidence in using AI tools to accelerate all aspects of your work</li></ul><p>
Preferred Experience:</p><ul><li>
Building or optimizing storage systems for AI/ML workloads</li><li>
Working with high-performance computing (HPC) environments or GPU clusters</li><li>
Knowledge of network protocols, RDMA, and high-speed interconnects</li><li>
Experience with agile methodologies and rapid prototyping</li></ul><p>
Education:</p><ul><li>
Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone.</li></ul><p><i>
This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience.</i></p></div></div></div><p>
Compensation:<br>
The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU&rsquo;s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.</p><p>
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
</p><p><b>Equal Opportunity Employer:</b></p><p>
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.</p><p><b>
Why You'll Thrive at NetApp</b></p><p>
At NetApp, you won't wait for the perfect moment&mdash;you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.</p><p>
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.</p><p><b>
Our culture</b></p><p>
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed&mdash;they drive everything we do.</p><p>
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.</p>
<p><b>Submitting an application</b><br>
<br>
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.</p></div></div><p></p>
<br><div><div><h2 class="jobSectionHeader"><b>Our values</b></h2>
<p>Put the customer at the center. Care for each other and our communities. Think and act like owners. Build belonging every day. Embrace a growth mindset.</p></div></div><div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<p></p><div><div><h3 class="jobSectionHeader"><b>Volunteer time off</b></h3>
<div>40 hours of paid volunteer time each year.</div>
</div><p></p><div><h3 class="jobSectionHeader"><b>Well-being</b></h3>
<div>Employee Assistance Program, fitness, and mental health resources to help employees be their best.</div>
</div><p></p><div><h3 class="jobSectionHeader"><b>Time away</b></h3>
<div>Paid time off for vacation and to recharge.</div></div></div></div></div><div></div>

AI Software Engineer: Intelligent Data Infrastructure

Kreeyaa

<div></div><div><div><div><div><div><div><div><div><p>We are seeking an experienced AI Software Engineer to design, build, and deploy Generative AI solutions on the ServiceNow platform &ndash; our Customer Success Platform. In this role, you will partner with product owners, platform teams, and process stakeholders to translate real operational needs into reliable, secure, and measurable AI capabilities&mdash;spanning Now Assist skills, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows.
</p><p>You will own the end-to-end delivery lifecycle: discovery and solution design; implementation and integration across ServiceNow workspaces, portals, Flow Designer, and Integration Hub; evaluation and tuning; and production hardening with guardrails, observability, and cost/latency controls. You will also contribute to reusable patterns and reference architectures (including MCP servers and connectors) that expose ServiceNow data and actions to external AI models while meeting enterprise security, privacy, and compliance requirements.</p>
<p>Success in this role requires strong software engineering fundamentals, a pragmatic approach to experimentation, and the ability to communicate tradeoffs clearly to both technical and non-technical audiences. You will help establish best practices for responsible AI adoption on the platform and mentor others through code reviews, design reviews, and knowledge sharing.</p>
<div><div><div><div><div><p>Required Qualifications</p></div></div><br>
<div><div><ul><li>7+ years of overall software engineering experience, with 2+ years in AI / LLM / Generative AI.</li></ul></div></div><br>
<div><div><ul><li>Strong hands-on experience with the ServiceNow platform and its AI/ML capabilities.</li></ul></div></div><br>
<div><div><ul><li>Experience designing and deploying Now Assist skills, domain‑specific prompts, and RAG‑based solutions.</li></ul></div></div><br>
<div><div><ul><li>Proven ability to build AI Agents and agentic workflows, including orchestration, guardrails, and multi‑step automation.</li></ul></div></div><br>
<div><div><ul><li>Experience architecting MCP servers to securely expose ServiceNow data, workflows, and APIs to external AI models.</li></ul></div></div><br>
<div><div><ul><li>Hands-on experience building Claude skills and connectors to enable AI‑driven ServiceNow actions (record creation, case triage, data retrieval).</li></ul></div></div><br>
<div><div><ul><li>Ability to integrate AI features into ServiceNow workspaces, portals, Flow Designer, Integration Hub, and custom applications.</li></ul></div></div><br>
<div><div><ul><li>Strong programming skills in JavaScript/TypeScript and Python, with good knowledge of REST APIs, authentication/authorization, databases, and system design.</li></ul></div></div><br>
<div><div><ul><li>Preferred: ServiceNow CSA/CAD certifications, exposure to MCP ecosystem, and Performance Analytics.</li></ul>
<p>Please send your updated resume to<b> hr@kreeyaa.com or prachi.g@kreeyaa.com</b></p>
</div></div><br>
</div></div></div></div><div><div><div><div><b>Job Category: </b>ServiceNow AI Engineer
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Bangalore Hyderabad</div></div></div></div></div></div></div></div></div></div></div><p></p>

ServiceNow AI Engineer

Flatgigs

<div>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 <br/>
 <br/>
 The work is hands-on and client-facing:
 <br/>
 <br/>
 <ul>
  <li>
   Understand operational workflows and convert them into technical artifacts
  </li>
  <li>
   Connect to real enterprise systems and data sources
  </li>
  <li>
   Build context-aware AI agents, retrieval systems, and automation prototypes
  </li>
  <li>
   Help move the best prototypes toward reliable production deployments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Build context graphs.
 </strong>
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 <br/>
 <br/>
 <strong>
  Develop AI and agentic workflows.
 </strong>
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 <br/>
 <br/>
 <strong>
  Connect to enterprise systems
 </strong>
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 <br/>
 <br/>
 <strong>
  Prototype automation opportunities.
 </strong>
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 <br/>
 <br/>
 <strong>
  Turn messy business problems into software.
 </strong>
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 <br/>
 <br/>
 <strong>
  Support production deployments.
 </strong>
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 <br/>
 <br/>
 <strong>
  Ideal Candidate
  <br/>
  <br/>
 </strong>
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 <br/>
 <br/>
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 <br/>
 <br/>
 <strong>
  Technical Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Python fundamentals
  </li>
  <li>
   Basic backend development experience
  </li>
  <li>
   Familiarity with APIs, databases, and cloud services
  </li>
  <li>
   Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
  </li>
  <li>
   Familiarity with data pipelines and messy real-world datasets
  </li>
  <li>
   Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
  </li>
  <li>
   AWS experience is a plus
  </li>
  <li>
   Experience with enterprise data, analytics, or workflow automation is a strong plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes Someone Successful In This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You like figuring out how businesses actually operate
  </li>
  <li>
   You are comfortable working with incomplete, messy, or poorly documented data
  </li>
  <li>
   You can move quickly from vague requirements to a working prototype
  </li>
  <li>
   You care about building useful systems, not just impressive demos
  </li>
  <li>
   You communicate clearly with both engineers and non-technical stakeholders
  </li>
  <li>
   You are curious about how AI agents can interact with real tools, data, and workflows
  </li>
  <li>
   You want to learn how to deploy AI into real enterprise environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Is Interesting
  <br/>
  <br/>
 </strong>
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 <br/>
 <br/>
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>


Forward Deployed AI Engineer

BCG X

<div>
 Who We Are
 <br/>
 <br/>
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 <br/>
 <br/>
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 <br/>
 <br/>
 <strong>
  We Are BCG X
  <br/>
  <br/>
 </strong>
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 <br/>
 <br/>
 Our AI Software Engineers and Senior AI Software Engineers are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.
 <br/>
 <br/>
 We Are Looking For Dedicated Individuals With a Passion For Software Development, Large-scale Data Analytics And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 <br/>
 <br/>
 <ul>
  <li>
   Apply software development practices and standards to develop robust and maintainable software
  </li>
  <li>
   Actively involved in every part of the software development process
  </li>
  <li>
   Experienced at guiding non-technical teams and consultants in and best practices for robust software development
  </li>
  <li>
   Optimize and enhance computational efficiency of algorithms and software design
  </li>
  <li>
   Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
  </li>
  <li>
   Enjoy collaborating in teams to share software design and solution ideas
  </li>
  <li>
   A natural problem-solver and intellectually curious across a breadth of industries and topics
   <br/>
   <br/>
  </li>
 </ul>
 What You'll Bring
 <br/>
 <br/>
 <strong>
  Technologies
  <br/>
  <br/>
 </strong>
 Programming Languages: Python
 <br/>
 <br/>
 #BCGXjob
 <br/>
 <br/>
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 <br/>
 <br/>
 BCG is an E - Verify Employer. Click here  for more information on E-Verify.
</div>


Forward Deployed AI Engineer, United Arab Emirates - BCG X

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