genai engineer

Saarthee

<div><div>Location: Gurgaon</div><div>
Work Mode: Hybrid</div><div>
Experience: 4-7 Years</div><div>
</div><div><b>
About Saarthee:</b></div><div><b>
</b></div><div>
Saarthee is a Global Strategy, Analytics, Technology, and AI consulting company, where our passion for helping others fuels our approach, products, and solutions. Our diverse and global team works with one objective in mind - Our Customers&rsquo; Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That&rsquo;s why we call ourselves <i>Saarthee</i> &mdash; inspired by the Sanskrit word <i>&lsquo;Saarthi&rsquo;</i>, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA, with offices in the UK and India.</div><div>
</div><div><b>
Position Summary:</b></div><div>
</div><div>
We&rsquo;re expanding our Product and AI Innovation team and looking for a GenAI Engineers to lead the design and deployment of Generative AI solutions that power Saarthee&rsquo;s products and client platforms.</div><div>
</div><div>
As a GenAI Engineer, you&rsquo;ll work on LLM-based architectures, prompt engineering, model fine-tuning, and GenAI-powered application development. You&rsquo;ll collaborate with product, data science, and engineering teams to integrate generative models into real-world business workflows driving automation, personalization, and decision intelligence.</div><div>
</div><div>
This is a high-ownership role suited for innovators who love experimenting with the latest in AI and delivering production-grade solutions at scale.</div><div>
</div><div><b>
Your Role Responsibilities and Duties:</b></div><div>
</div><ul><li>
Design, develop, and deploy Generative AI models and LLM-driven applications.</li><li>
Work on prompt engineering, model fine-tuning, and custom LLM adaptation for domain-specific use cases.</li><li>
Collaborate with Data Scientists and Engineers to integrate LLMs into analytics, automation, and workflow products.</li><li>
Build retrieval-augmented generation (RAG) systems using vector databases and knowledge retrieval pipelines.</li><li>
Develop and manage end-to-end GenAI pipelines &mdash; from data preprocessing to inference and deployment.</li><li>
Experiment with open-source and commercial LLMs (OpenAI, Anthropic, Mistral, Llama, etc.) and evaluate their applicability to product needs.</li><li>
Create APIs and microservices that embed AI capabilities into products and enterprise systems.</li><li>
Optimize model latency, cost, and performance in production environments.</li><li>
Collaborate with product managers and designers to translate ideas into scalable, user-friendly GenAI applications.</li><li>
Stay updated on emerging trends in Generative AI, NLP, and multimodal AI &mdash; driving innovation within Saarthee&rsquo;s product ecosystem.</li></ul><div>
</div><div><b>
Required Skills and Qualifications:</b></div><div><b>
</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
4&ndash;7 years of professional experience in AI/ML engineering, with at least 1&ndash;2 years focused on Generative AI or LLM-based development.</li><li>
Hands-on experience with Python and libraries/frameworks such as LangChain, Hugging Face Transformers, OpenAI API, PyTorch, TensorFlow.</li><li>
Practical knowledge of LLM fine-tuning, prompt design, and embedding models.</li><li>
Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and RAG pipelines.</li><li>
Familiarity with cloud services (AWS, Azure, or GCP) for model hosting and deployment.</li><li>
Experience building APIs, chatbots, or GenAI-powered applications for enterprise use cases.</li><li>
Strong understanding of NLP techniques, tokenization, and model evaluation metrics.</li><li>
Proficiency in CI/CD pipelines, Docker, and Kubernetes is a plus.</li><li>
Excellent problem-solving, experimentation, and communication skills.</li><li>
A builder mindset, eager to innovate, prototype, and deliver high-impact AI solutions.</li></ul><div><b>
</b></div><div><b>
What We Offer:</b></div><div>
</div><ul><li>
Bootstrapped and financially stable with high pre-money evaluation.</li><li>
Above-industry remunerations.</li><li>
Additional compensation tied to Renewal and Pilot Project Execution.</li><li>
Additional lucrative business development compensation.</li><li>
Firm-building opportunities that offer a stage for holistic professional development, growth, and branding.</li><li>
An empathetic, excellence-driven, and result-oriented organization that believes in mentoring and growing teams with a constant emphasis on learning.</li></ul></div><div></div>

GenAI Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>Mjd6JBmHb0</p></div>

Lead GenAI Engineer (Application Development)

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>2OWWNNGtq6</p></div>

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>TKy0yLI6H2</p></div>

eMumba

<p></p><div><div><div><div><div><div><div><div><div>At Emumba, we are dedicated to building forward-thinking technology that delivers transformative value and tangible impact for our customers. As our AWS GenAI Lead, you will lead the design, implementation and deployment of GenAI applications on AWS using AWS GenAI native services. This role involves problem solving skills without losing the business alignment.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Must-Have Qualifications
</b></h2><div><div><div><ul><li>5+ years of hands-on AWS experience with deep expertise in architecture &amp; solution design</li>
<li>Track record of building GenAI applications using Bedrock, Amazon Q and SageMaker.</li>
<li>3+ years of software development experience, ideally in AI/ML projects</li>
<li>Strong command of Python or similar programming languages supporting AI/ML</li>
<li>Excellent communication and interpersonal skills</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h2><div><div><div><div><b>Architect &amp; Deliver GenAI Solutions</b>
</div><ul><li>Design, develop, and deploy scalable, secure, and cost-effective GenAI systems on AWS in client facing role</li>
<li>Build RAG applications using Langchain and Amazon Bedrock</li>
<li>Fine-tune LLMs, integrate cutting-edge frameworks, and align with business needs</li>
</ul><div><b>Innovate &amp; Optimize</b>
</div><ul><li>Continuously monitor and optimize GenAI workloads for performance, cost, and reliability</li>
<li>Stay updated on AWS advancements, GenAI trends, and best practices</li>
<li>Contribute to internal R&amp;D and AWS program growth initiatives</li>
</ul><div><b>Collaborate &amp; Mentor</b>
</div><ul><li>Work directly with clients to translate business goals into GenAI architecture</li>
<li>Collaborate with engineers, data scientists, and stakeholders to integrate solutions</li>
<li>Mentor teammates and foster a culture of knowledge sharing in GenAI</li>
</ul><div><b>Nice-to-Have</b>
</div><ul><li>AWS certifications (e.g., Solutions Architect, Machine Learning &ndash; Specialty)</li>
<li>Contributions to open-source projects or published research in the AI/ML domain</li>
<li>Experience working with fine-tuning LLMs</li>
<li>Good understanding of AWS Well-Architecture and DevOps</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>What&rsquo;s In It for You
</b></h2><div><div><div><ul><li>Lead cutting-edge work at the frontier of GenAI and cloud engineering</li>
<li>Collaborate with a team trusted by AWS</li>
<li>Shape Emumba&rsquo;s role in the future of AI, with the freedom to experiment and innovate</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>Emumba is a global engineering and consulting company with strengths in software development and an established AWS cloud practice focused on Data and GenAI. For 15 years, our teams across the US, the UAE, and Pakistan have earned trust through quality delivery and ownership of work. We look for people who value the culture they work in as much as the craft they bring to it.</div></div><p></p><div><br>
</div></div></div></div></div><p></p><div><div><div><div><div><div><div>
</div></div><div><div><p>Department</p>
<p><b>AWS</b></p>
<p>Employment Type</p>
<p><b>Full Time</b></p>
<p>Location</p>
<p><b>Islamabad, Pak</b></p>
<p>Workplace type</p>
<p><b>Hybrid</b></p></div></div></div></div></div></div></div></div><p></p>

Lead AWS GenAI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div>
<div><b>. Mandatory : Must be available to work from office 5 days a week</b><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>374868</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Gen AI Architect

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>
Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div><div><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
<p>
 <b>Location: Hyderabad</b></p>
<p><b>
Qualification: B. Tech</b></p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375429</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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