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Utopia Fulfillment

<p><b>Senior AI Engineer &ndash; E-commerce Division</b></p><p><b>Location:</b> On-site<br/><b>Company:</b> Utopia Deals<br/><b>Experience:</b> 3&ndash;5 Years<br/><b>Job Type:</b> Full-time</p><p><b>About Utopia Deals</b></p><p>Utopia Deals is a fast-growing e-commerce company focused on delivering exceptional value and customer experiences through data-driven innovation. We leverage advanced technology and AI to optimize pricing, personalization, supply chain efficiency, and customer engagement across our platforms.</p><p><b>Role Overview</b></p><p>We are seeking a <b>Senior AI Engineer</b> with 3&ndash;5 years of hands-on experience to join our E-commerce Division. In this role, you will design, build, and deploy AI/ML solutions that directly impact business performance, customer experience, and operational efficiency.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy machine learning and AI models for e-commerce use cases such as recommendations, demand forecasting, pricing optimization, fraud detection, and customer segmentation</li><li>Work closely with product managers, data engineers, and business stakeholders to translate business needs into scalable AI solutions</li><li>Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment</li><li>Optimize model performance, scalability, and reliability in production environments</li><li>Analyze large datasets to extract insights and drive data-informed decisions</li><li>Stay updated with the latest AI/ML trends and recommend innovative solutions for business growth</li></ul><p><b>Required Qualifications</b></p><ul><li>3&ndash;5 years of professional experience as an AI Engineer, Machine Learning Engineer, or similar role</li><li>Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Solid understanding of machine learning algorithms, deep learning, and statistical modeling</li><li>Experience working with large datasets, SQL/NoSQL databases, and data pipelines</li><li>Hands-on experience deploying ML models in production environments (cloud or on-premise)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience in e-commerce, retail, or marketplace platforms</li><li>Knowledge of recommendation systems, NLP, or time-series forecasting</li><li>Experience with cloud platforms such as AWS, GCP, or Azure</li><li>Familiarity with MLOps tools and practices (CI/CD, model monitoring, versioning)</li></ul><p><b>What We Offer</b></p><ul><li>Competitive salary and performance-based incentives</li><li>Opportunity to work on real-world, high-impact AI problems</li><li>Collaborative and innovative work culture</li><li>Career growth and learning opportunities</li></ul><p>Share your resumes at <b>ahmed.mazhar@utopiadeals.com with position title in Subjectline.</b></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior AI Engineer

Telenor

<div><p><b>Position</b> <b>Title: Senior AI Engineer</b></p><p><b>
Reporting to: Director Automation Hub</b></p><p><b>
Job Group: 2/3</b></p><p><b>
Location: Islamabad</b></p><p><b>
Division: Telenor Shared Services Pakistan</b></p><p><b>
Department: Automation Hub</b></p><p><b>
Unit: Finance &amp; Procurement Tribe</b></p><p><b>
About Telenor Shared Services Pakistan</b></p><p>
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.</p><p><b>
Position Related</b></p><p>
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.</p><p>
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.</p><p><b>
Goals</b></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</p></li><li><p>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</p></li><li><p>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</p></li><li><p>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</p></li><li><p>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</p></li><li><p>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</p></li></ul><ul><li><p>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</p></li><li><p>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</p></li></ul><p><b>
Note: Above goals and job descriptions are indicative and subject to change</b></p><p><b>
Experience &amp; Qualification</b></p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</p></li><li><p>
7+ years of experience in AI/ML engineering or software engineering.</p></li><li><p>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</p></li><li><p>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</p></li></ul><p><b>
Required Technical Skills</b></p><ul><li><p>
Strong proficiency in Python, clean architecture, and production-grade API development.</p></li><li><p>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</p></li><li><p>
Experience with RAG systems, vector databases, and similarity search technologies.</p></li><li><p>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</p></li><li><p>
Experience deploying and scaling AI inference using optimized serving frameworks.</p></li><li><p>
Experience building multi-agent systems using agent orchestration tools.</p></li></ul><p><b>
Functional &amp; Behavioral Skills</b></p><ul><li><p>
Service-minded, open-minded, culturally aware.</p></li><li><p>
Highly structured, focused, and able to prioritize effectively.</p></li><li><p>
Innovative, curious, and a strategic thinker.</p></li><li><p>
Strong analytical and problem-solving abilities.</p></li><li><p>
Team-oriented with the ability to foster collaboration and psychological safety.</p></li><li><p>
Adaptable, proactive and comfortable working under strict deadlines.</p></li></ul><p><b>
Potential Career Path</b></p><ul><li><p>
Progression to Senior Manager/ Director roles AI and Data positions.</p></li></ul></div>

ZZ-Technologies, islamabad

<p><b>Job Summary:</b></p><p>We are seeking a skilled and innovative <b>AI Engineer</b> to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.</p><p><b>Responsibilities:</b></p><p><b>LLM Development &amp; Fine-Tuning</b></p><ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including <b>LoRA</b>, <b>QLoRA</b>, <b>PEFT</b>, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul><p><b>GPU-Based Training &amp; Optimization</b></p><ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul><p><b>Model Serving &amp; Infrastructure</b></p><ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul><p><b>Research, Experimentation &amp; Innovation</b></p><ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul><p>You can share your cv on whtsapp as well. 03355707047</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

NUST

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 4, 2026<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Detail<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5986/12/23/2025
 </div></div><br>
<div><div>Age Limit: </div><div>25<li></li>45
</div></div><br>
<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Tuesday, December 23, 2025
</div></div><br>
<div><div>Salary: </div><div>Market Competitive<br>
</div></div><br>
<div></div><br>
<br>
<br>
<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualification:</b></div><div><br>
</div><ul><li>BS degree in Computer Science, Software Engineering, or Computer Engineering from an HEC recognized University.</li></ul><div><br>
</div><div><b>Experience:</b></div><div><br>
</div><ul><li>3 to 4 years of hands-on experience building and shipping AI systems in production.</li></ul>
<ul><li>Hands-on experience training and fine-tuning LLMs, including LoRA-based fine-tuning.</li></ul>
<ul><li>Proven experience building RAG pipelines (chunking, embeddings, retrieval, reranking, grounding, and evaluation,</li></ul>
<ul><li>Experience building agentic systems using LangChain and LangGraph, deploying models locally on GPUs using vLLM and/or Ollama, Ray and Kubernetes for scalable serving &amp; operations and building real-time voice agents using LiveKit.</li></ul>
<ul><li>Experience with automated evaluation and benchmarking for LLM, RAG, and agent workflows.</li></ul>
<ul><li>Experience implementing guardrails and secure tool execution patterns.</li></ul><div><br>
</div><div><b>Key Responsibilities:</b></div><div><br>
</div><ul><li>Train and fine-tune LLMs for task performance and alignment using SFT and alignment methods (RLHF, PPO, GRPO), and validate with robust evaluation practices.</li></ul>
<ul><li>Build production-grade RAG systems including ingestion, chunking, embedding, vector search, reranking, grounding, and evaluation to reduce hallucinations.</li></ul>
<ul><li>Develop agentic AI workflows using LangChain and LangGraph, including tool calling, multi-step planning, memory, guardrails, and observability.</li></ul>
<ul><li>Deploy and serve models locally on GPUs using vLLM and Ollama, optimizing throughput, latency, batching, and KV cache behavior.</li></ul>
<ul><li>Productionize distributed inference and services using Ray and Kubernetes (deployments, autoscaling, rolling updates, reliability).</li></ul>
<ul><li>Build end-to-end voice agents using LiveKit (streaming STT, LLM orchestration, TTS, turn-taking, and real-time session handling).</li></ul>
<ul><li>Collaborate with product and engineering teams to define requirements, success metrics, and deliver production-ready features with documentation and tests.</li></ul><div><br>
</div><div><div><b>Knowledge/Skills/Abilities:</b></div><div><br>
</div><ul><li>Strong Python skills with practical experience in PyTorch and modern LLM tooling.</li></ul>
<ul><li>Familiarity with distributed GPU inference concepts (tensor parallelism, caching, throughput tuning).</li></ul>
<ul><li>Working knowledge of CI/CD, monitoring, logging, and tracing for AI services.</li></ul>
<ul><li>Working knowledge of alignment techniques and workflows such as RLHF, PPO, and GRPO.</li></ul></div><div><br>
</div>
<div></div><br>
<div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics /Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div><div><b>Candidates may be considered ineligible for the post due to any of the following reasons:</b></div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations.</li></ul>
<ul><li>Late / incomplete applications will be ignored.</li></ul>
<ul><li>Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li><b>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</b></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p><div></div>

SplashBI

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>3-5 Years</div><div>5-6 Years</div></ul></div></div></div></div></ul>

Senior AI/ML Engineer

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Qualification</b></h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

Architecture In Motion

<div><p>Senior AI/ML Engineer (Remote) Pakistan Only</p>
<p>
Role Summary</p>
<p>
We are seeking a skilled AI/ML Engineer to design, build, and deploy generative AI solutions using Python, Hugging Face, and Azure cloud services (Azure is our stack, but strong AWS/GCP experience is welcome). You will own the full lifecycle of AI/ML model development from prototyping through production, with strong emphasis on operational excellence, cloud troubleshooting, and rapid iteration. This role requires someone who can diagnose production issues quickly, work across Python and .NET ecosystems, and deliver measurable results within tight timelines.</p>
<p>
This is a fully remote position for candidates based in Pakistan, working with our Canadian team on cutting edge AI products.</p>
<p>
Key Responsibilities</p>
<p>
AI/ML Development and Productionization</p>
<ul>
<li>Design and implement preprocessing pipelines, inference services, and evaluation frameworks using Python and Hugging Face transformers</li>
<li>Fine tune, optimize, and deploy large language models and generative AI models to production environments on Azure</li>
<li>Build and maintain retrieval augmented generation (RAG) systems integrating vector databases such as Azure AI Search or CosmosDB with LLM workflows</li>
<li>Develop robust unit and integration tests for ML pipelines ensuring reliability before production deployment</li>
<li>Implement prompt engineering strategies and optimize context management for production LLM applications</li>
</ul>
<p>Cloud Infrastructure and Operations</p>
<ul>
<li>Containerize ML models using Docker and deploy to Azure Container Instances, Azure App Service, or Azure Kubernetes Service</li>
<li>Implement health check endpoints, structured logging, and telemetry instrumentation for all deployed services</li>
<li>Configure and monitor Azure Application Insights dashboards to track model performance, latency, error rates, and resource utilization</li>
<li>Troubleshoot production incidents by analyzing Application Insights logs, distributed traces, and request telemetry to identify root causes and implement fixes</li>
<li>Optimize inference latency and cloud costs through caching strategies, model quantization, and efficient resource allocation</li>
</ul>
<p>MLOps and CI/CD</p>
<ul>
<li>Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions for automated testing, model validation, and deployment</li>
<li>Implement model versioning, A/B testing infrastructure, and rollback procedures for production ML services</li>
<li>Manage containerized deployments and orchestration for scalable inference workloads</li>
</ul>
<p>Cross Platform Integration</p>
<ul>
<li>Work with existing .NET API layer to integrate AI services using Azure SDKs</li>
<li>Collaborate with .NET developers to ensure seamless integration between Python ML services and .NET applications</li>
<li>Follow established patterns for dependency injection and service registration in .NET codebases</li>
</ul>
<p>Collaboration and Documentation</p>
<ul>
<li>Partner with product, engineering, and DevOps teams to align AI initiatives with business objectives</li>
<li>Document architectures, runbooks, and troubleshooting guides to enable team knowledge sharing</li>
<li>Communicate technical concepts clearly to both technical and non-technical stakeholders</li>
</ul>
<p>Required Skills and Experience</p>
<p>
Python and ML Engineering (Primary)</p>
<ul>
<li>3+ years of production Python development with demonstrated ability to write clean, testable, and maintainable code</li>
<li>Hands on experience with Hugging Face transformers including model loading, tokenization, fine tuning, and inference optimization</li>
<li>Ability to implement a data preprocessing pipeline and wrap a Hugging Face model for inference with unit tests</li>
<li>Strong proficiency with PyTorch, scikit learn, pandas, and numpy</li>
<li>Experience building REST APIs using FastAPI or Flask for ML model serving</li>
</ul>
<p>Cloud Operations (Azure preferred, AWS/GCP Transferable)</p>
<ul>
<li>While we build on Azure we value strong conceptual knowledge of cloud operations. Experience with equivalent services in AWS (ECS, CloudWatch, Lambda) or GCP is fully acceptable provided you are willing to cross train.</li>
<li>2+ years deploying and operating workloads on Azure including Container Instances, App Service, or AKS</li>
<li>Demonstrated proficiency in Azure Application Insights including custom metrics, log queries using KQL, distributed tracing, and alert configuration</li>
<li>Ability to containerize a Hugging Face model, deploy it to Azure, expose health and logging endpoints, and demonstrate telemetry in Application Insights</li>
<li>Proven ability to efficiently analyze failing request traces and Application Insights logs to rapidly identify root causes and propose fixes in a production environment.</li>
<li>Experience with Azure DevOps or GitHub Actions for CI/CD pipelines</li>
</ul>
<p>GenAI and LLM Integration</p>
<ul>
<li>Hands on experience integrating Azure OpenAI Service, OpenAI APIs, or open source LLMs into production applications</li>
<li>Practical experience implementing RAG architectures with vector databases and embedding models</li>
<li>Understanding of prompt engineering techniques, context management, token optimization, and LLM output parsing</li>
<li>Understanding of semantic contextual relevance for improving search accuracy and response quality in AI applications</li>
<li>Familiarity with chunking strategies, semantic search, and hybrid retrieval approaches</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks</li>
<li>Familiarity with Semantic Kernel for .NET and Python</li>
<li>Experience with model quantization (ONNX, TensorRT) for inference optimization</li>
<li>Knowledge of evaluation frameworks for LLM applications (RAGAS, custom metrics)</li>
<li>Prior experience working with distributed teams across time zones</li>
</ul>
<p>Azure .NET SDK Proficiency</p>
<p>
Our AI services integrate with an existing .NET API layer. You will need to work with both Python and C# codebases.</p>
<p>
Required .NET Skills</p>
<ul>
<li><b>Dependency Injection: </b>Register and consume services using Microsoft.Extensions.DependencyInjection (same pattern as FastAPI/Flask dependency injection)</li>
<li><b>Azure SDKs: </b>Use Azure.AI.OpenAI, Azure.Search.Documents, Azure.Storage.Blobs, and related packages (identical patterns to Python Azure SDKs)</li>
<li><b>Polly: </b>Configure retry policies and resilience patterns for HTTP calls</li>
<li><b>LINQ: </b>Write query expressions for data manipulation (similar to Python list comprehensions)</li>
<li><b>Standard Libraries: </b>Use System.Text.Json, HttpClient, and common .NET packages for API development</li>
</ul>
<p>What is NOT Required</p>
<ul>
<li>Entity Framework or any ORM patterns</li>
<li>Complex .NET architecture patterns</li>
<li>Prior .NET production experience</li></ul></div>

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