process engineer

production engineer

quality engineer

backend engineer

maintenance engineer

ai engineer

Flairstech

<div><div><div><div>Requirements and responsibilities<div>
We&rsquo;re seeking a AI Engineer to design, develop, and deploy AI and machine learning solutions for real-world business needs. This role requires strong experience working with both custom-built and pre-trained models&mdash;spanning LLMs, computer vision, NLP, and traditional ML&mdash;and delivering them into production through APIs, web applications, or microservices.<h3 class="jobSectionHeader">
Responsibilities</h3>
Build, train, and deploy machine learning and AI models across supervised, unsupervised, and deep learning workflows.
Integrate and fine-tune pre-trained models (LLMs, vision, NLP) from platforms such as OpenAI, Anthropic, AWS Bedrock, Azure AI, and Hugging Face.
Develop end-to-end ML pipelines covering data processing, model training, and inference.
Create APIs, web applications, and microservices to serve models in production environments.
Work closely with data and software engineering teams to deliver scalable, maintainable systems.
Optimize models for performance, latency, scalability, and cost.
Implement model evaluation, monitoring, and performance tracking.
Stay updated on emerging AI tools, frameworks, and techniques.<h3 class="jobSectionHeader">
Requirements</h3>
Demonstrated experience developing and deploying ML models (regression, classification, NLP, computer vision).
Strong proficiency in Python and major ML/DL frameworks such as PyTorch, TensorFlow, or Keras.
Hands-on experience with AI APIs and SDKs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, etc.).
Ability to build RESTful APIs, web apps, or microservices using FastAPI, Flask, or Django.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Experience with semantic databases (Neo4j, RDF stores, knowledge graphs) and relational databases (PostgreSQL, MySQL).
Solid understanding of version control, model evaluation, and deployment best practices.<h3 class="jobSectionHeader">
Preferred</h3>
Experience with MLOps workflows (CI/CD, model registries, monitoring, governance).
Knowledge of data orchestration tools (Airflow, Prefect, Kafka).
Exposure to vector databases (FAISS, Pinecone, Weaviate) and RAG architectures.
Familiarity with prompt engineering or LLM fine-tuning.
Experience building AI-driven applications such as chatbots or recommendation engines.</div></div></div></div></div><div></div>

AI Engineer

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The role of the AI Engineer at Dar will be to design, develop, and deploy artificial intelligence models and systems that automate workflows of design engineers through data-driven insights, and enhance design and project delivery efficiency. They leverage machine learning and data analytics to improve decision-making and productivity across projects life.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop, evaluate, and deploy RAG pipelines for the AEC industry
 </li>
 <li>
 Develop, evaluate and deploy agentic AI solutions to automate AEC workflows
 </li>
 <li>
 Develop, train, and optimize machine learning and deep learning models for AEC applications.
 </li>
 <li>
 Collect, preprocess, and analyze large BIM data from design, construction, and operational sources.
 </li>
 <li>
 Monitor and refine deployed AI systems for performance, accuracy, and scalability.
 </li>
 <li>
 Research and evaluate emerging AI technologies relevant to architecture, engineering, and construction.
 </li>
 <li>
 Collaborate effectively with data scientists, AI and Automation engineers, computational designers, and design engineers to integrate advanced digital solutions into the broader system architecture and the enterprise internal workflows
 </li>
 <li>
 Stay current with AI trends and suggest improvements to existing systems and workflows
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Contribute to mentoring and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or related field
 </li>
 <li>
 0-3 years professional experience with at least 3 of the following sectors: RAG, machine learning, deep learning, LLMs, NLP, reinforcement learning, and computer vision
 </li>
 <li>
 Proficiency in Python, C#/C/C++, SQL
 </li>
 <li>
 Experience building RAG pipelines, agentic RAG pipeline and/or agentic workflows
 </li>
 <li>
 Strong knowledge of AI frameworks such as TensorFlow or PyTorch, and ML libraries as scikit-learn and SciPy
 </li>
 <li>
 Experience working in relational and non-relational databases
 </li>
 <li>
 Experience building predictive analytics business solutions
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a team environment
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.t
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

700apps

<div>At 700Apps, we are seeking a dedicated Junior AI Engineer to join our innovative team. In this role, you will work alongside experienced professionals to develop and implement cutting-edge AI solutions. This is a fantastic opportunity for recent graduates or those looking to start their career in AI and machine learning.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Assisting in Development: Contribute to the design and coding of AI models, optimizing them for various applications.</li>
<li>Data Handling: Support data collection and preprocessing tasks to ensure high-quality inputs for training models.</li>
<li>Exploratory Data Analysis: Analyze datasets to identify trends and insights that can inform the development processes.</li>
<li>Collaboration: Engage in teamwork with senior engineers and project managers to deliver effective AI solutions.</li>
<li>Model Testing: Participate in testing and validation of AI models, measuring their performance and making improvements as needed.</li>
<li>Documentation: Help maintain comprehensive documentation of the techniques used and results obtained.</li>
</ul>Requirements
Requirements:<ul>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li>
<li>Basic programming skills in Python and familiarity with AI frameworks like TensorFlow or PyTorch.</li>
<li>Understanding of fundamental machine learning principles and algorithms.</li>
<li>Experience with data manipulation and analysis using tools like Pandas or NumPy.</li>
<li>Good problem-solving abilities and analytical thinking.</li>
<li>Team player with effective communication skills.</li>
<li>Enthusiasm for learning and keeping up with AI advancements.</li>
</ul>Benefits<ul>
<li>Private Health Insurance</li>
<li>Training &amp; Development</li>
<li>Attractive Salary
</li><li>Social Insurance</li>
<li>Family Package</li></ul></div>

Junior AI Engineer

Finaira

<div>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
Requirements
What you will bring to the role
<ul><li>Education: Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.</li><li>Experience: 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field.</li><li>Technical Skills:
</li></ul>o Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
o Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
o Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
o Strong architectural design skills for complex data pipelines and scalable AI inference systems.
o Proficiency in system design, distributed systems, and performance optimization.
o Ability to critically evaluate and apply academic research to real-world problems.<ul><li> 
Soft Skills:
</li></ul>o Strong ownership and accountability for assigned work.
o Clear and professional verbal and written communication.
o Effective time management and task prioritization.
o Analytical thinking and problem-solving skills.
o Ability to work independently, collaborate effectively and mentor junior team members.
o Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
o Adaptability and learning agility in a fast-paced environment.
o Strong attention to detail and a commitment to quality.
o Receptiveness to feedback and continuous improvement mindset.</div>

Senior AI Engineer

<div>The AI Engineer II designs, builds, and deploys scalable AI systems spanning classical ML, LLMs, and agentic architectures. This role drives the development of intelligent agents, optimized inference pipelines, and automated AI workflows, while mentoring junior engineers and shaping best practices in MLOps and AgentOps.
Focus: Solution Architecture &middot; Agentic Systems &middot; Model Optimization &middot; Mentorship
The difference you will make:<ul>
<li>
Architect and implement end-to-end AI solutions, from data pipelines to agentic reasoning systems.</li>
<li>Design and maintain training and inference pipelines for both ML and LLM models.</li>
<li>Lead fine-tuning, LoRA training, prompt-tuning, and model evaluation initiatives.</li>
<li>Build and orchestrate agentic workflows&mdash;including tool calling, memory management, and multi-agent coordination.</li>
<li>Integrate AI models with applications through robust APIs and services.</li>
<li>Define and enforce standards for MLOps and AgentOps (versioning, deployment, monitoring, evaluation).</li>
<li>Establish evaluation frameworks for predictive and generative systems (performance, accuracy, factuality, safety).</li>
<li>Troubleshoot complex AI infrastructure issues and ensure production reliability.</li>
<li>Mentor AI Engineer 1 associates and lead code reviews and knowledge sharing.</li>
<li>Collaborate with cross-functional teams (product, data, UX, DevOps) to translate business problems into AI solutions.</li>
</ul>
Requirements<ul>
<li>
Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field. Master's degree preferred.</li>
<li>Experience: 3+ years hands-on AI/ML development and deployment experience</li>
</ul>
Technical Skills:<ul>
<li>
Expertise in Python and ML/LLM frameworks (PyTorch, TensorFlow, Transformers, LangChain, vLLM).</li>
<li>Strong knowledge of MLOps &amp; AgentOps tools (Docker, Kubernetes, CI/CD, Ray Serve, MLFlow).</li>
<li>Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).</li>
<li>Proficiency in databases (SQL/NoSQL) and data pipeline design.</li>
<li>Expertise in fine-tuning, adapter training (LoRA), and RAG pipelines.</li>
<li>Strong understanding of prompt design, multi-agent orchestration, memory architectures, and tool integration.</li>
<li>Familiar with AI safety, evaluation, and governance frameworks.</li>
</ul>
Soft Skills:<ul>
<li>
Strategic problem-solving and innovation mindset.</li>
<li>Excellent communication with both technical and non-technical stakeholders.</li>
<li>Team leadership and mentorship skills.</li>
<li>Curiosity for research and emerging AI techniques.</li>
</ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

AI Engineer II

<div>Role Purpose
The AI Engineer I is an entry-level position responsible for assisting in the development, testing, and deployment of machine-learning (ML) and large-language-model (LLM)-based solutions, including agentic AI workflows. This role builds foundational engineering skills across the AI spectrum&mdash;covering classical ML, generative models, and early exposure to agentic architectures.
Focus Areas
Learning &amp; Execution &middot; Model Development &middot; Agent Integration &middot; Prompt Experimentation
Key Responsibilities<ul>
<li>
Support data collection, cleaning, and preprocessing for ML and LLM projects.</li>
<li>Assist in implementing, evaluating, and optimizing AI/ML models and LLM pipelines.</li>
<li>Develop and test prompt templates, retrieval chains, and agentic components under guidance.</li>
<li>Contribute to fine-tuning and lightweight adaptation (LoRA, adapters, instruction-tuning) of models.</li>
<li>Implement model APIs or inference endpoints, and integrate them into applications or microservices.</li>
<li>Participate in debugging, troubleshooting, and monitoring both ML pipelines and agentic workflows.</li>
<li>Document data flows, model architectures, and experiment results clearly.</li>
<li>Stay current with advances in machine learning, generative AI, and agent frameworks (LangChain, LangGraph, vLLM etc.).</li>
</ul>
Requirements
Education: Bachelor&rsquo;s in Computer Science, AI, ML, Data Science, Electrical Engineering, or related field.
Experience: 0 to 3 years in software development or academic AI/ML projects.
Technical Skills<ul>
<li>
Solid programming skills (Python, R, Java, C++).</li>
<li>Understanding of ML concepts (supervised/unsupervised learning, evaluation metrics).</li>
<li>Familiarity with LLM ecosystems (OpenAI API, Hugging Face, LangChain).</li>
<li>Exposure to fine-tuning and prompt engineering.</li>
<li>Knowledge of data structures, algorithms, and Git.</li>
<li>Basic understanding of MLOps / AgentOps workflows.</li>
</ul>
Soft Skills<ul>
<li>
Curiosity, teamwork, and proactive learning attitude.</li>
<li>Analytical mindset with good communication skills.</li>
<li>Customer-centric thinking and disciplined work ethic.</li>
</ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

AI Engineer I

BayanTech

<div><div>We are seeking a Senior AI Engineer to lead the design, development, and optimization of advanced AI systems. The ideal candidate has proven experience in LLM fine-tuning, custom model training, and RAG (Retrieval-Augmented Generation), with a strong foundation in machine learning, NLP, and multimodal AI (speech, text, and vision). 
 
You will work closely with our R&amp;D team to deliver production-grade AI solutions across projects such as voice AI agents, translation automation, localization platforms, and real-time inference systems. The role also involves mentoring junior engineers and collaborating with backend and DevOps teams to ensure performance, scalability, and deployment reliability. 
 
Job Description :
 
 
<ul><li>Design, develop, and deploy AI agents capable of performing autonomous tasks.</li></ul></div><ul><li>Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).</li><li>Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability</li><li>Implement communication between agents using agent orchestration frameworks.</li><li>Automate workflows for sales, project management, accounting, and localization.</li><li>Collaborate with backend and frontend teams to integrate AI services.</li><li>Conduct prompt engineering and evaluation of model outputs.</li><li>Ensure the scalability and performance of AI systems in production environments.</li></ul> 

Requirements: 
 
7+ years of experience in AI, NLP, or ML system development. 
Proven expertise in LLM training and fine-tuning (GPT, LLaMA, Mistral, Falcon, etc.). 
Hands-on experience with RAG pipelines and vector databases (FAISS, Pinecone, Qdrant, Weaviate). 
Strong Python skills and proficiency in PyTorch or TensorFlow. 
Experience building and deploying custom AI models for text or speech. 
Knowledge of transformer architectures, tokenization, and quantization. 
Practical use of OpenAI API, Hugging Face, and LangChain. 
Experience integrating models via FastAPI, Flask, or NestJS microservices. 
Familiarity with MLOps, Docker, CI/CD, and cloud environments (AWS/GCP/Azure). 
Strong foundation in deep learning, statistics, and data preprocessing. 
Excellent communication and leadership skills to guide junior AI engineers. 
 
Nice to Have: 
Experience with speech models (Deepgram, Whisper, Piper). 
Familiarity with Twilio, Asterisk, or WebSocket-based AI streaming. 
Knowledge of localization automation and translation quality scoring. 
Understanding of LangGraph, CrewAI, or multi-agent frameworks. 
Exposure to multi-GPU training and on-premise optimization.</div>

Senior AI Engineer (Hybrid)

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Senior AI Engineer (Hybrid)