genai engineer

Cloudscaler

<p><b>Responsibilities</b></p><ul><li>Provide technical leadership for GenAI use cases, including prompt design, grounding, orchestration, safety controls, and architecture patterns.</li><li>Drive best practices in prompt engineering, RAG systems, system design, and integration approaches.</li><li>Mentor Agent Makers and support complex builds, reviews, and problem-solving.</li><li>Define ALM strategy for Genesys AI Studio and Rabo AI assistants to ensure consistency and reliability across environments.</li><li>Own AI governance and testing frameworks, including regression testing, LLM-as-a-judge, and end-to-end testing.</li><li>Collaborate with cross-functional teams on design, requirements, and integrations.</li><li>Represent the team in stakeholder discussions and translate technical solutions into business value.</li></ul><p><b>Platforms:</b> Genesys AI Studio, Azure Functions<br/><b>AI &amp; Orchestration:</b> GenAI, prompt engineering, prompt chaining, agent-based automation<br/><b>Integration:</b> REST APIs, event-driven &amp; legacy systems<br/><b>Language:</b> Python<br/><b>Cloud &amp; DevOps:</b> Azure, Azure DevOps<br/><b>Analytics:</b> Databricks, Power BI</p><p><b>Nice to Have</b></p><p>Copilot Studio, Power Platform, Genesys Cloud APIs<br/>JavaScript/TypeScript (Node.js), C#<br/>Security: IAM, VNet, private endpoints, API security, secrets management</p><p><b>Profile</b></p><ul><li>6+ years in Data Engineering / Data Science / Software Engineering, with 2+ years in GenAI</li><li>Experience building conversational AI or agent-based automation</li><li>Strong in AI assistant development, prompt engineering, orchestration, and API integration</li><li>Able to mentor peers and improve engineering quality</li><li>Agile mindset with strong communication skills</li><li>Good understanding of AI governance and testing (regression, LLM-as-a-judge, E2E)</li><li>Passion for building customer-focused GenAI solutions with an innovative mindset</li></ul><p>Job Type: Contract</p><p>Work Location: Hybrid remote in Utrecht</p>

GenAI Engineer

Accenture UK & Ireland

<div>
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  Role- Commerce Engineer (Generative AI)
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  Level- Consultant
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  Location- London
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 Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song
 <br/>
 <br/>
 As a Commerce Engineer at Accenture Song, you'll be at the sharp end of building the next generation of agentic commerce &mdash; designing, prototyping and shipping AI-powered experiences for some of the world's leading retail and consumer brands. You'll work at the intersection of client needs, creative problem-solving and hands-on engineering, using generative AI and modern development tools to turn ideas into working solutions.
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 This is a role for someone who is comfortable with code, confident with clients and curious about how AI can reshape commerce. You should be technically confident, commercially curious and able to make complex AI concepts understandable to non-technical stakeholders.
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  What You Will Do
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  Work directly with clients, strategists, designers, architects and delivery teams to shape AI-powered commerce use cases and turn them into working solutions.
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  Build working prototypes and contribute to production-ready solutions, using AI tools to accelerate delivery.
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  Develop AI-enabled applications and integrations using Python, LLM APIs and modern application development patterns.
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  Apply practical generative AI concepts such as RAG, embeddings, vector search, prompt orchestration and tool/function calling.
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  Connect AI capabilities with APIs, structured and unstructured data, content systems and commerce platforms to create genuinely joined-up customer experiences.
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  Architect and implement data solutions that power AI at scale &mdash; designing pipelines and databases across SQL and NoSQL technologies to handle the volume and complexity of enterprise commerce data.
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  Explain technical ideas clearly to both technical and non-technical audiences, helping clients understand how AI solutions work and what trade-offs are involved.
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  Work within agile delivery teams, bringing rigour to solution design, engineering best practices and DevSecOps across the full delivery lifecycle.
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  Qualifications
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  Proven experience in a client-facing technical role, translating business needs into practical technical solutions.
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  Hands-on Python development experience, with the ability to build working applications, prototypes or service integrations.
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  Practical experience integrating LLM APIs such as OpenAI, Google Gemini, Vertex AI or similar.
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  Good working understanding of core generative AI patterns including RAG, embeddings, vector databases and LLM orchestration.
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  Comfortable contributing to production delivery, including version control, code reviews, testing, documentation and established engineering practices.
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  Set yourself apart
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  Experience in commerce, retail, consumer goods or customer experience environments.
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  Familiarity with commerce platforms, content platforms, CRM, product information or order management systems.
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  Familiarity with agentic AI patterns, workflow orchestration or frameworks such as LangChain, CrewAI, AutoGen or similar.
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  Hands-on experience with vector databases or search platforms.
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  A background that blends engineering with business, design, creative or product thinking.
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  What We'll Give You...
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 A thriving career with the chance to learn from passionate, talented colleagues and mentors. Exciting and varied client work with as much opportunity as you can handle. And a hugely sociable team to get to know.
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 Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
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  Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
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  Family-friendly and flexible working policies.
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  A range of generous Parental Leave offerings.
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  Attractive pension plan with financial wellbeing support and resources.
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  Private healthcare insurance plan and Mental Wellbeing support.
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  Employee Assistance Programme, Career Development and Counselling.
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 Please note that with all of our roles, you should expect some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities.
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 As an employer, we will be as flexible as possible to support your specific work/life needs.
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 Application Deadline: Ongoing
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 Accenture reserves the right to close the role, at any time.
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</div>


GenAI Commerce Engineer

Deloitte

<div></div><div><div><div><div><div><div><div><div><p><b>GenAI &ndash; Consultant, Software Engineer II</b></p><p><b>
Enterprise Performance</b></p><p>
Our Enterprise Performance team helps organizations transform core business operations through technology, data, and innovation across finance, supply chain, and IT. Within this practice, professionals work with Deloitte client service teams to design and deliver solutions that improve operational performance, enable digital transformation, and drive measurable business outcomes.</p><p>
As part of this team, you will help clients address complex supply chain challenges by combining functional knowledge with emerging technologies, including Generative AI and intelligent automation. The work spans areas such as planning, sourcing, manufacturing, logistics, and distribution, with a focus on building practical, scalable solutions that support better decision-making and business performance.</p><p><b>
Position Summary</b></p><p>
As an experienced Consultant at Deloitte Consulting Services, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.</p><p><b>
Work you'll do</b></p><p>
As a Consultant, Software Engineering on the Enterprise Performance team, you will be responsible for:</p><ul>
<li>Designing, building, and deploying agentic artificial intelligence and generative artificial intelligence solutions for product development use cases.</li>
<li>Configuring and extending product lifecycle management (PLM) platforms such as Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM to support workflows, data models, and integrations.</li>
<li>Building large language model (LLM) agents, multi-agent workflows, and retrieval-augmented generation (RAG) solutions using structured and unstructured supply chain and engineering data.</li>
<li>Integrating solutions with enterprise platforms and cloud environments, including Amazon Web Services (AWS) and Microsoft Azure.</li>
<li>Working with functional and technical teams to translate business requirements into scalable solution designs, validate outputs, and measure performance through defined operational metrics.</li>
</ul><p><b>The team</b></p><p>
Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.</p><p>
The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients&rsquo; toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.</p><p><b>
Location:</b> Bengaluru / Hyderabad / Pune / Chennai</p><p><b>
Shift Timings:</b> 11 AM to 8 PM or 2 PM to 11 PM IST as per business requirements</p><p><b>
Qualifications</b></p><p>
Required:</p><ul>
<li>3-6 years of experience in software engineering, enterprise application development, artificial intelligence, machine learning, or product lifecycle management.</li>
<li>3+ years of experience in PLM design and development using Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, or a comparable platform.</li>
<li>2+ years of experience building LLM-driven agents and multi-agent workflows using LangChain, LangGraph, or comparable frameworks.</li>
<li>Experience building RAG solutions using structured and unstructured supply chain, engineering, or product data.</li>
<li>Experience with Python in production-grade application development.</li>
<li>Experience with vector databases, graph databases, and cloud deployment on AWS and/or Azure, including artificial intelligence and machine learning services.</li>
<li>BE, BTech, MCA, MSc (Computer Science), or an equivalent degree from an accredited university.</li>
</ul><p>Preferred:</p><ul>
<li>AWS and/or Azure machine learning certifications.</li>
<li>Experience with SAP, Oracle, Blue Yonder, Kinaxis, Manhattan, or comparable enterprise platforms.</li>
<li>Experience with Snowflake, Databricks, Delta Lake, or PySpark.</li>
<li>Experience integrating OpenAI, Anthropic, or Cohere models with cloud services.</li>
<li>Experience with electronic data interchange (EDI), X12, electronic data interchange for administration, commerce, and transport (EDIFACT), customs classification, or trade compliance.</li>
<li>Experience with multi-echelon inventory optimization, network optimization, production scheduling, constraint-based planning, regulated industries, or responsible artificial intelligence and explainability.</li><br>
</ul><br>
</div></div><div></div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 358177</p></div></div></div></div>

GenAI – Software Engineer II

<div></div><div><div><div><div><div><div><div><div><p><b>GenAI &ndash; Senior Consultant, Software Engineer III</b></p><p><b>
Enterprise Performance</b></p><p>
Our Enterprise Performance team helps organizations transform core business operations through technology, data, and innovation across finance, supply chain, and IT. Within this practice, professionals work with Deloitte client service teams to design and deliver solutions that improve operational performance, enable digital transformation, and drive measurable business outcomes.</p><p>
As part of this team, you will help clients address complex supply chain challenges by combining functional knowledge with emerging technologies, including Generative AI and intelligent automation. The work spans areas such as planning, sourcing, manufacturing, logistics, and distribution, with a focus on building practical, scalable solutions that support better decision-making and business performance.</p><p><b>
Position Summary</b></p><p>
As an experienced Senior Consultant at Deloitte Consulting Services, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.</p><p><b>
Work you'll do</b></p><p>
As a Senior Consultant, Software Engineering on the Enterprise Performance team, you will be responsible for:</p><ul>
<li>Designing, building, and deploying agentic artificial intelligence and generative artificial intelligence solutions for product development use cases.</li>
<li>Configuring and extending product lifecycle management (PLM) platforms such as Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM to support workflows, data models, and integrations.</li>
<li>Building large language model (LLM) agents, multi-agent workflows, and retrieval-augmented generation (RAG) solutions using structured and unstructured supply chain and engineering data.</li>
<li>Integrating solutions with enterprise platforms and cloud environments, including Amazon Web Services (AWS) and Microsoft Azure.</li>
<li>Working with functional and technical teams to translate business requirements into scalable solution designs, validate outputs, and measure performance through defined operational metrics.</li>
</ul><p><b>The team</b></p><p>
Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.</p><p>
The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients&rsquo; toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.</p><p><b>
Location:</b> Bengaluru / Hyderabad / Pune / Chennai</p><p><b>
Shift Timings:</b> 11 AM to 8 PM or 2 PM to 11 PM IST as per business requirements</p><p><b>
Qualifications</b></p><p>
Required:</p><ul>
<li>6-9 years of experience in software engineering, enterprise application development, artificial intelligence, machine learning, or product lifecycle management.</li>
<li>3+ years of experience in PLM design and development using Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, or a comparable platform.</li>
<li>2+ years of experience building LLM-driven agents and multi-agent workflows using LangChain, LangGraph, or comparable frameworks.</li>
<li>Experience building RAG solutions using structured and unstructured supply chain, engineering, or product data.</li>
<li>Experience with Python in production-grade application development.</li>
<li>Experience with vector databases, graph databases, and cloud deployment on AWS and/or Azure, including artificial intelligence and machine learning services.</li>
<li>BE, BTech, MCA, MSc (Computer Science), or an equivalent degree from an accredited university.</li>
</ul><p>Preferred:</p><ul>
<li>AWS and/or Azure machine learning certifications.</li>
<li>Experience with SAP, Oracle, Blue Yonder, Kinaxis, Manhattan, or comparable enterprise platforms.</li>
<li>Experience with Snowflake, Databricks, Delta Lake, or PySpark.</li>
<li>Experience integrating OpenAI, Anthropic, or Cohere models with cloud services.</li>
<li>Experience with electronic data interchange (EDI), X12, electronic data interchange for administration, commerce, and transport (EDIFACT), customs classification, or trade compliance.</li>
<li>Experience with multi-echelon inventory optimization, network optimization, production scheduling, constraint-based planning, regulated industries, or responsible artificial intelligence and explainability.</li><br>
</ul><br>
</div></div><div></div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 358178</p></div></div></div></div>

GenAI – Software Engineer III

Eraneos Group

<div><div><div><h2 class="jobSectionHeader"><b>Das findest Du bei uns</b></h2><div>
Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden geh&ouml;ren prim&auml;r DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir &uuml;bernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen L&ouml;sungen, um so unsere Kunden in KI-gest&uuml;tzte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine &uuml;berdurchschnittliche Verg&uuml;tung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und weiteren B&uuml;ros in M&uuml;nchen und D&uuml;sseldorf sowie unseren Hub-Standorten in allen weiteren deutschen Gro&szlig;st&auml;dten (Berlin, K&ouml;ln, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind.<br>
<br>
<b>Deine Rolle als Lead GenAI Solution Engineer:</b><ul><li><b>
Technische F&uuml;hrung von KI-Projekten:</b> Du verantwortest die End-to-End-Architektur und technische Umsetzung von GenAI-L&ouml;sungen beim Kunden &ndash; von der Strategiephase bis zum produktiven Betrieb</li><li><b>
Architekturentscheidungen:</b> Du triffst und verantwortest technische Architekturentscheidungen f&uuml;r komplexe KI-Systeme - Agentic Architectures, RAG-Pipelines, LLM-Integrationen - und vertrittst diese gegen&uuml;ber dem Kunden</li><li><b>
Beratung auf Senior-Level:</b> Du bist Sparringspartner f&uuml;r Fachbereiche und Management bis C-Level. Du &uuml;bersetzt KI-M&ouml;glichkeiten in Gesch&auml;ftswert und steuerst Erwartungen</li><li><b>
Scoping &amp; Estimation:</b> Du definierst gemeinsam mit dem Kunden Projektscope, sch&auml;tzt Aufw&auml;nde und gestaltest Proposals mit</li><li><b>
Pre-Sales &amp; Business Development:</b> Du bist aktiv daran beteiligt, neue GenAI-Projekte zu gewinnen. Du schreibst Proposals mit, bist bei Pitches dabei und bringst deine technische Expertise in die Akquise ein</li><li><b>
Mentoring:</b> Du entwickelst die Engineers in deinem Team gezielt weiter - durch Code Reviews, technisches Sparring und direktes Feedback. Du steuerst nicht nur, du f&ouml;rderst</li><li><b>
Agentic SDLC:</b> Du treibst die Integration von KI-Agenten in den Entwicklungsprozess deines Teams voran - AI-gest&uuml;tztes Coding, automatisierte Code Reviews, intelligente Test-Generierung. Du definierst, wie Agentic Tools den SDLC im Team und beim Kunden transformieren</li><li><b>
Engineering von KI-Services:</b> Du bist hands-on - du entwickelst selbst, reviewst Code und setzt technische Standards f&uuml;r dein Team</li><li><b>
Evaluation &amp; Monitoring:</b> Du definierst KPI-Frameworks zur Messung der Performance von GenAI-L&ouml;sungen und stellst deren Einhaltung sicher</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Das bist Du</b></h2><div><ul><li><b>
Nachweislicher Track Record im GenAI Bereich:</b> Du hast LLM-basierte Systeme in Produktion gebracht - konzipiert, beraten und end-to-end aufgebaut.</li><li><b>
Exzellente Python-Kenntnisse (produktionsreif):</b> API-Entwicklung (FastAPI, Pydantic), Containerisierung (Docker), Testing, Git, CI/CD</li><li><b>
Tiefes Verst&auml;ndnis von GenAI-Architekturen:</b> Agentic Systems, RAG end-to-end, Prompt Engineering, strukturierte Outputs, Function-Calling - du kannst Architekturentscheidungen nicht nur treffen, sondern auch vor Kunde begr&uuml;nden</li><li><b>
F&uuml;hrungserfahrung:</b> Du hast bereits Workstreams oder kleine Teams gesteuert - technisch und organisatorisch</li><li><b>
Beratungskompetenz:</b> Mehrj&auml;hrige Erfahrung in der Arbeit direkt beim Kunden. Du kannst Workshops leiten, Ergebnisse auf C-Level pr&auml;sentieren und Stakeholder-Landschaften navigieren</li><li><b>
Sprachen:</b> Deutsch flie&szlig;end, Englisch verhandlungssicher</li><li><b>
Ausbildung:</b> Abgeschlossenes Studium in Informatik, Mathematik, Physik, Data Science, Wirtschaftsinformatik oder vergleichbar(B.Sc. oder h&ouml;her)</li><li><b>
Reisebereitschaft:</b> Du bist bereit, regelm&auml;&szlig;ig vor Ort beim Kunden zu arbeiten</li></ul></div></div><div><h2 class="jobSectionHeader"><b><br>
Das sind wir</b></h2><div><ul><li>
Bei uns findest Du eine abwechslungsreiche T&auml;tigkeit im KI-Umfeld</li><li>
Flexible Arbeitszeiten und -orte wie Home-Office sind f&uuml;r uns selbstverst&auml;ndlich</li><li>
Duz-Kultur, kurze Kommunikationswege und viele tolle, erfahrene, internationale Kollegen, die Dir jederzeit zur Seite stehen</li><li>
Unternehmensweite, internationale Events, die sich sehen lassen k&ouml;nnen</li><li>
Company Bike und Bezuschussung Deiner Fitnessmitgliedschaft (EGYM Wellpass)</li><li>
Gezielte und individuelle Trainings f&uuml;r Deine fachliche und pers&ouml;nliche Weiterentwicklung</li><li>
Eine zentrale Lage in Hamburg, M&uuml;nchen und D&uuml;sseldorf mit guter Verkehrsanbindung (Bus &amp; Bahn), sowie Hub-Standorte in allen anderen deutschen Gro&szlig;st&auml;dten</li><li>
T&auml;glich frisches Obst, guten Kaffee, Snacks, Softdrinks &amp; Feierabendbier</li></ul>
<br>
Wir haben Dein Interesse geweckt? Dann freuen wir uns &uuml;ber Deine Bewerbung!</div></div><div><h2 class="jobSectionHeader"><b>
So erreichst Du uns</b></h2><div>
Paulina Krzeminski - paulina.krzeminski@eraneos.com<br>
<br>
Unsere oberste Priorit&auml;t ist, dass Du zu uns passt und wir zu Dir, unabh&auml;ngig von Herkunft, Nationalit&auml;t, sexueller Orientierung, Religion, Geschlechtsidentit&auml;t, Alter, Handicap oder anderen Aspekten der Vielfalt.<br>
<br>
Bewerbe Dich gerne &uuml;ber unser Unternehmensportal mit Deinem CV und / oder Deinem LinkedIn Profil.<br>
<br>
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Lead GenAI Solution Engineer (w/m/d)

Sunwell America. Inc

<p><b>Job Description</b></p><p><b>Must Have Technical/Functional Skills</b></p><ul><li>Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).</li><li>Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.</li><li>High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams</li><li>Ideal: Systems &amp; Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).</li></ul><p><b>Roles &amp; Responsibilities</b></p><ul><li>This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.</li><li>Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.</li><li>8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.</li><li>Mandarin Fluency (Spoken &amp; Written) for direct engagement with enterprise customers and stakeholders.</li><li>Generic Managerial Skills, If any</li><li>Stakeholder management</li><li>Escalation handling</li><li>Cross-functional collaboration</li><li>Communication skills</li><li>Problem-solving</li><li>Ownership &amp; accountability</li></ul><p>Pay: $90,000.00 - $110,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li></ul><p>Work Location: In person</p>

GenAI Support Engineer / Google Cloud AI Specialist

Auxo Talent

<div>
 <p>
  Lead AI Engineer
 </p>
 <p>
  Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are supporting a leading enterprise organisation in building a new AI capability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for a hands-on AI/ML Engineer with experience taking AI solutions from
  <strong>
   POC through to production deployment
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role will focus on building scalable AI applications using GenAI, LLMs, RAG architectures, APIs, and modern AI frameworks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements
  </strong>
 </p>
 <ul>
  <li>
   Strong Python engineering background
  </li>
  <li>
   Experience deploying AI/ML or GenAI solutions into production
  </li>
  <li>
   Hands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, etc.)
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   Strong understanding of APIs, system design, and software engineering best practices
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ideal Background
  </strong>
 </p>
 <p>
  AI Engineer, ML Engineer, Applied AI Engineer, GenAI Engineer, or Lead AI Engineer with a proven track record delivering production-grade AI systems.
 </p>
</div>


Lead AI Engineer

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