generative ai engineer

Blue Data Consulting

<p><b>Overview:</b></p><p>We are seeking a talented Generative AI Engineer with 2&ndash;3 years of experience to design, develop, and deploy AI models capable of generating high-quality content, including text, images, code, and other media. The ideal candidate will have hands-on experience with generative AI frameworks, machine learning pipelines, and a strong understanding of model fine-tuning and deployment.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and fine-tune generative AI models (e.g., GPT, DALL&middot;E, Stable Diffusion, or similar).</li><li>Implement and optimize machine learning pipelines for training, evaluation, and deployment of models.</li><li>Work on text, image, audio, or multimodal generative projects.</li><li>Collaborate with data engineers, data scientists, and product teams to integrate AI solutions into products.</li><li>Conduct research on the latest advancements in generative AI and suggest innovative solutions.</li><li>Monitor model performance, implement improvements, and ensure scalability.</li><li>Document models, experiments, and processes for reproducibility and team knowledge sharing.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>2&ndash;3 years of experience in AI/ML development with focus on generative models.</li><li>Strong programming skills in Python; experience with ML libraries like PyTorch, TensorFlow, Hugging Face Transformers, or similar.</li><li>Knowledge of NLP, computer vision, or multimodal AI models.</li><li>Experience with fine-tuning pre-trained models and deploying AI models in production.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment.</li><li>Strong problem-solving skills and ability to work in a collaborative environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with reinforcement learning from human feedback (RLHF).</li><li>Understanding of prompt engineering and optimization for large language models.</li><li>Exposure to AI ethics, bias mitigation, and responsible AI practices.</li><li>Familiarity with containerization (Docker, Kubernetes) for model deployment.</li></ul><p><b>What We Offer:</b></p><ul><li>Opportunity to work with cutting-edge AI technologies.</li><li>Collaborative and innovative work environment.</li><li>Learning and growth opportunities in AI research and applications.</li></ul><p>Job Types: Full-time, Permanent</p><p>Benefits:</p><ul><li>Health insurance</li><li>Leave encashment</li></ul><p>Work Location: In person</p>

Generative AI Engineer

Dinero Solutions

<p>Required skills</p><p>5+ years of professional experience in building Machine Learning models &amp; systems</p><p>1+ years of hands-on experience in how LLMs work &amp; Generative AI (LLM) techniques particularly</p><p>prompt engineering, RAG, and agents.</p><p>Experience in driving the engineering team toward a technical roadmap.</p><p>Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.</p><p>Understanding of Cloud services, including Azure, GCP or AWS</p><p>Excellent communication skills to effectively collaborate with business SMEs</p><p>Roles &amp; Responsibilities:</p><p>Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of</p><p>large language models, leveraging techniques like prompt engineering, retrieval-augmented</p><p>generation (RAG), and agent-based architectures.</p><p>Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like</p><p>LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best</p><p>practices.</p><p>Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or</p><p>AWS), optimizing resource usage and ensuring robust CI/CD processes.Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs</p><p>to define project requirements, translate technical details, and deliver impactful AI products.</p><p>Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering</p><p>team, fostering best practices in machine learning and large language model development.</p><p>Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI,</p><p>proposing and experimenting with emerging techniques to drive ongoing improvements in model</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;3,500,000.00 - &#8377;4,500,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Generative Ai Engineer

Softtech

<div>
 <p>
  We are looking for a
  <strong>
   &ldquo;Generative AI Engineer
  </strong>
  &rdquo; who will be able to work with enthusiasm to implement solutions in the field of development to join our
  <strong>
   Data and Artificial Intelligence Applications team.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We believe that highly competitive solutions can only be developed by motivated and enthusiastic teams. That&rsquo;s why our team members have been selected among the top engineers and specialists in the market.
 </p>
 <p>
  We are experts in developing solutions for financial organizations. If you want to be part of this dynamic team, come &amp; join us and share our goal that is to take the technology to the next level with creative, fast, efficient, and secure solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here are the details of our job posting:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What makes you a good fit:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science (or equivalent experience)
  </li>
  <li>
   At least 3+ years of software development experience
  </li>
  <li>
   Strong coding skills with Python
  </li>
  <li>
   Excellent knowledge of Django, Flask, FastAPI technologies
  </li>
  <li>
   Extensive experience with SQLAlchemy, Alembic migrations, and designing robust Pydantic schemas for data validation and serialization in Python-based applications.
  </li>
  <li>
   Experience working with cloud-based AI providers like OpenAI, Azure, Google, Meta, etc.
  </li>
  <li>
   Deep knowledge of Langchain framework and its modules such as Retrieval, Chains, Agents, Memory
  </li>
  <li>
   Experience in working with Multi-Agent frameworks (e.g., CrewAI, LangGraph, AutoGen, Magnetic-One ).
  </li>
  <li>
   Experience in Prompt Engineering.
  </li>
  <li>
   Proven experience in designing and developing production-level prompts tailored for various AI models and use cases
  </li>
  <li>
   Solid understanding of the vector databases(Pinecone, Chroma, Qdrant, Faiss)
  </li>
  <li>
   Hands-on experience with implementing production-grade guardrails for AI systems to ensure reliability, safety, and ethical compliance.
  </li>
  <li>
   Possesses a solid perspective on Agent-Oriented Programming (AOP) and its application in designing and developing intelligent, autonomous systems.
  </li>
  <li>
   In-depth knowledge of working with containerized cloud environments (Docker, Kubernetes, AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll experience working at Softtech:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Implement and develop Generative AI solutions for business needs.
  </li>
  <li>
   Work with large language models (LLMs) or small language models (SLMs) to create innovative applications and solutions.
  </li>
  <li>
   Develop and integrate AI-related APIs from providers like Google, Microsoft, and OpenAI.
  </li>
  <li>
   Write clean, scalable, and efficient code following best practices in AI development.
  </li>
  <li>
   Collaborate with senior engineers and architects to ensure the robustness and scalability of AI solutions.
  </li>
  <li>
   Conduct unit tests and debugging to ensure software reliability.
  </li>
  <li>
   Stay up to date with emerging AI technologies and frameworks, applying them where relevant.
  </li>
  <li>
   Participate in team discussions and contribute to knowledge sharing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer you:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Private medical insurance and group life insurance
  </li>
  <li>
   Company contributory in individual retirement or cumulative life insurance 3 months after working with us
  </li>
  <li>
   Employee and Employer Contribution Plan for individual retirement support (Optional)
  </li>
  <li>
   Monthly meal payment
  </li>
  <li>
   Flexible remote working support
  </li>
  <li>
   Transportation fee or shuttle option according to your preference
  </li>
  <li>
   Covered travel and accommodation expenses if necessary
  </li>
  <li>
   Employee discounts &ndash; including a huge number of retailers via &Idot;&scedil; Grubu Ailem
  </li>
  <li>
   Continuously learning and development opportunities
  </li>
  <li>
   Health and well-being seminars and initiatives via Softtech Academy
  </li>
  <li>
   Employee support program through a corporate consulting firm
  </li>
  <li>
   Support for postgraduate education, including administrative leave and financial incentives for those pursuing a Master's or PhD degree
  </li>
  <li>
   Study leave and support for studying for a qualification or other accredited development relevant to your role
  </li>
  <li>
   Attending to technical congress and conferences
  </li>
  <li>
   Celebrate your birthday with a day off
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About us:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As one of Turkey's leading technology companies, we have been operating at a total of 6 different locations in Turkey and USA since 2006.
 </p>
 <p>
  With the strength of our experience in banking and finance industry and experienced human resources, we are developing customer-oriented solutions for our business partners operating in diverse areas.
 </p>
 <p>
  Our mission is to transform all our customers including mainly &Idot;&scedil; Bankas&inodot; into digital companies by using our efficient and high-energy ecosystem.
 </p>
 <p>
  We recognize that our people are our strength and the diverse talents. We are an equal opportunity employer and welcome applications from any individuals without any restrictions at our company.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Contact us:
 </p>
 <p>
  If you need more information please don't hesitate to contact us.
 </p>
 <p>
  https://softtech.com.tr
 </p>
 <p>
  https://m.youtube.com/@Softtechas
 </p>
 <p>
  https://anlatsin.com/softtech
 </p>
 <p>
  https://instagram.com/softtech?igshid=YmMyMTA2M2Y=
 </p>
</div>


Lucidya

<div><p>We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.</p><p></p><p>
You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul><p><b>Benefits</b></p><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><p>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.</p><p>
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</p></div>

Generative AI Engineer (Saudi-based only)

Lucidya | لوسيديا

<div>
 We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.
 <br/>
 <br/>
 You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
  </li>
  <li>
   Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
  </li>
  <li>
   Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
  </li>
  <li>
   MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
  </li>
  <li>
   Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
  </li>
  <li>
   Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
  </li>
  <li>
   Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
  </li>
  <li>
   Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
  </li>
  <li>
   Strong background in AI/ML, with a focus on generative models.
  </li>
  <li>
   Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
  </li>
  <li>
   Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
  </li>
  <li>
   Expertise in prompt engineering and prompt optimization for diverse tasks.
  </li>
  <li>
   Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
  </li>
  <li>
   Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
  </li>
  <li>
   Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
  </li>
  <li>
   Proactive mindset with the ability to take ownership of challenges and drive solutions.
  </li>
  <li>
   Publications, research contributions, or involvement in open-source generative AI projects are a strong plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Join Us?
   <br/>
   <br/>
  </strong>
 </strong>
 This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 <br/>
 <br/>
 We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>


Impronics Technologies

<div><h2 class="jobSectionHeader"><b>Job Title: Machine Learning &amp; Generative AI Engineer (Hybrid &ndash; 2&ndash;3 Days Work from Office)</b></h2><div><b>
Location:</b> Bangalore</div><div>
<b>Note:</b> Female Candidates Only</div><div></div><h3 class="jobSectionHeader"><b><br>
Job Summary</b></h3><div>
We are seeking a talented <b>Machine Learning &amp; Generative AI Engineer</b> to design, build, and deploy next-generation AI solutions. This role involves working on <b>cutting-edge AI and LLM technologies</b>, including <b>Transformer architectures, RAG pipelines, fine-tuning</b>, and <b>prompt optimization</b>, alongside developing traditional ML models for automation and decision intelligence.</div><div>
This position offers a unique opportunity to innovate, experiment, and drive impactful AI initiatives within a leading enterprise environment.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div>
Design, develop, and deploy <b>end-to-end ML and Generative AI pipelines</b>, including data preprocessing, model training, and scalable deployment.</div><div>
Build and optimize <b>LLM-based</b> solutions leveraging Transformer models (BERT, GPT, T5, LLaMA, etc.).</div><div>
Implement <b>RAG (Retrieval-Augmented Generation)</b> systems using embeddings and vector databases such as FAISS, Pinecone, Weaviate, or Chroma.</div><div>
Fine-tune and customize <b>LLMs</b> on domain-specific datasets for enterprise use cases (Q&amp;A, summarization, conversational AI, structured-to-text generation).</div><div>
Work with <b>MLOps</b> tools (Airflow, Kubeflow, MLflow) to automate and manage ML lifecycle processes.</div><div>
Deploy models efficiently using <b>Docker, Kubernetes</b>, and cloud platforms (Azure, AWS, or GCP).</div><div>
Collaborate with <b>cross-functional teams</b>&mdash;data scientists, engineers, and domain experts&mdash;to align AI solutions with business goals.</div><div>
Ensure <b>model safety, privacy, performance</b>, and adherence to responsible AI practices.</div><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><div><b>
3&ndash;7 years</b> of experience in <b>Machine Learning, Deep Learning, or AI model development</b>.</div><div>
Strong expertise in <b>Python</b>, <b>PyTorch</b>, <b>TensorFlow</b>, <b>Scikit-Learn</b>, and <b>MLflow</b>.</div><div>
Hands-on experience with <b>Transformer architectures</b> and <b>attention mechanisms</b>.</div><div>
Experience in <b>Generative AI</b>, including LLM fine-tuning (LoRA, QLoRA, PEFT, full model tuning), <b>instruction tuning</b>, and <b>prompt optimization</b>.</div><div>
Proficiency in building <b>RAG pipelines</b> with vector databases (FAISS, Pinecone, Weaviate, Chroma).</div><div>
Solid foundation in <b>statistics, probability, and optimization techniques</b>.</div><div>
Experience with <b>cloud ML platforms</b> &ndash; Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI.</div><div>
Familiarity with <b>Big Data tools</b> (Spark, Hadoop, Databricks) and <b>databases</b> (SQL/NoSQL).</div><div>
Knowledge of <b>CI/CD pipelines</b>, <b>MLOps</b>, and <b>container orchestration</b> (Docker, Kubernetes).</div><h3 class="jobSectionHeader"><b>
Good to Have</b></h3><div>
Experience with <b>NLP</b> and <b>Computer Vision</b> (Transformers, BERT/GPT, YOLO, OpenCV).</div><div>
Exposure to <b>vector search</b>, <b>enterprise GenAI</b>, and <b>multimodal AI</b> (text + image/video/audio).</div><div>
Understanding of <b>RLHF (Reinforcement Learning with Human Feedback)</b>.</div><div>
Experience with <b>Edge AI</b>, <b>federated learning</b>, or <b>real-time model serving</b>.</div><h3 class="jobSectionHeader"><b>
Core Competencies (Client Focus Areas)</b></h3><div>
Real-World Application &amp; Deployment</div><div>
Prompt Engineering &amp; Optimization</div><div>
Model Evaluation &amp; Safety</div><div>
Fine-Tuning &amp; Customization</div><div>
Strategic Thinking &amp; Innovation</div><div>
Understanding of LLM Internals</div><div>
Tooling &amp; Ecosystem Knowledge</div><div>
Experimentation &amp; Evaluation</div><div>
Security, Privacy &amp; Ethics</div><div>
Problem Solving &amp; Creativity</div><div>
Business Alignment</div></div><div></div>

Machine Learning & Generative AI Engineer (Female Candidates)

92Techno

<p>We are seeking a talented and innovative professional who is smart, resourceful, and deeply passionate about AI tools in Lahore to work at EST. This role requires a versatile builder&mdash;capable of developing frontends, backends, and occasionally contributing to design&mdash;to turn creative and unconventional ideas into reality.</p><p><b>Preferred Toolkit</b><br/>Your expertise may include tools such as Claude, Cursor, Replit, MiniMax, GPTs, LangChain, or any other platforms you&rsquo;ve explored&mdash;whether during work hours or while experimenting late at night.</p><p><b>Key Responsibilities</b></p><ul><li>Design and develop rapid prototypes using AI tools</li><li>Build and maintain both front-end and back-end applications (JavaScript, Python, React, etc.)</li><li>Integrate Large Language Models (LLMs) and APIs into applications</li><li>Conduct iterative testing, troubleshooting, and improvements</li><li>Contribute to design elements when necessary</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>Strong problem-solving skills and adaptability</li><li>Experience with both software development and AI integrations</li><li>A passion for experimenting with new tools and approaches</li><li>Creativity in applying AI to real-world challenges</li></ul><p><b>How to Apply</b><br/>Please share your updated resume with links to your GitHub, Replit, Cursor demo, or any portfolio showcasing your AI experiments. We welcome bold, inventive, and unconventional projects.</p><p>Job Type: Full-time</p><p>Pay: Rs300,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

Lead / Senior Generative AI Engineer

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