planning engineer

chief engineer

full stack engineer

maintenance engineer

service engineer

ai engineer

eSense

<div>
 Position Overview
 
 
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 
 
 Key Responsibilities&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze requirements and contribute to technical AI solution design.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in Python (mandatory).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in backend development (APIs, microservices, model serving).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience with local LLM deployment and optimization.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in RAG system design and vector databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Practical experience in model fine-tuning (LoRA / PEFT).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working in Linux environments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in peer code reviews and team planning activities.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide task estimations and deliver within approved timelines.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 
 
 Qualifications
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2-5 years of experience in AI Engineering.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in C#, .NET Core and Python.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Structured and Unstructured databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Angular or other frontend technologies is a strong plus.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with Git, RESTful services, and Agile development methodologies
 
</div>

AI Engineer

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

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.
The difference you will make<ul><li>
Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
</li><li>Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
</li><li>Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
</li><li>Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
</li><li>Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
</li><li>Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
</li><li>Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
</li><li>Influence technical direction and architecture discussions within the AI/ML team and across engineering.
</li><li>Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.</li></ul> 

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

Senior AI Engineer

<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.
 
 
 
 The difference you will make
 
 
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
 </li>
 <li>
 Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Education:
 
 
 Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
 </li>
 <li>
 Demonstrated deep expertise in a specific AI sub-field
 
 
 </li>
 </ul>
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization.
 </li>
 <li>
 Ability to critically evaluate and apply academic research to real-world problems
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
</div>

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>

<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.
 
 
 
 
 
 The difference you will make:
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates. &bull; Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 
 Education:
 
 Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 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>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization. o Ability to critically evaluate and apply academic research to real-world problems.
 </li>
 </ul>
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
 
 
 
</div>

PaxeraHealth

<div>
 The
 
 AI Engineer
 
 is responsible for understanding the medical imaging business problems, identifying/applying the right AI or cognitive computing technologies. In addition to being involved in the formulation and execution of technology solutions.
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Develops required machine learning models or prototype applications, applying formulated AI recipes and verifying the problem/solution fit
 </li>
 <li>
 Understands the challenges in medical imaging and using state of the art solutions in AI and DL
 </li>
 <li>
 Participates in building new experiences, improves existing products, ensures quality assurance test designs and contributes to test systems architecture discussions
 </li>
 <li>
 Works alongside leading innovators in the field of deep learning and health care, plays a critical role in algorithm development
 </li>
 <li>
 Analyzes and evaluates data and builds deep networks to detect or predict features, while effectively balancing quality, availability, timeliness and cost factors
 
 
 </li>
 </ul>
 Job Requirements
 
 
 <ul>
 <li>
 3-6 years of AI/ML experience with a degree in a quantitative fields like Computer Science, data science, Engineering or related field required, with a significant focus on deep learning
 </li>
 <li>
 BA/BS degree in computer science or related discipline is required, MS degree is preferred
 </li>
 <li>
 Good command of the English language required (spoken and written)
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong background in machine learning and parallel processing pipelines, with significant experience in image processing
 </li>
 <li>
 Experience in working with large datasets and relational databases (SQL)
 </li>
 <li>
 Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus
 </li>
 <li>
 An intuitive sense of how to architect high-performance distributed computing systems for machine learning &amp; tie them to business problems
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
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</div>

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