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ai engineer

Digixvalley LLC

We are looking for a passionate and proactive Junior AI Engineer &ndash; Conversational AI &amp; RAG Systems with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to building intelligent conversational systems, RAG pipelines, and AI-powered customer service automation. You will assist in developing chatbots, managing vector databases, integrating LLMs, and optimizing real-time AI responses.Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

Contegris Pvt Ltd

About ContegrisContegris is a leading SaaS company dedicated to delivering Technology Solutions for a Delightful Customer Experience. Since 2012, weve been empowering over 300 enterprise clients across 20+ industries with our smart and scalable solutions. Our product suite includes an Omni-Channel Contact Center Platform (Intellicon), Helpdesk, Sales CRM, Unified Communication, WhatsApp Business API, and AI-powered self-service tools. With innovation at the core, we strive to enhance how businesses connect with their customers.Job Overview:We are seeking a motivated and detail-oriented AI Engineer to support the development, enhancement, and maintenance of our AI-driven products. The ideal candidate will have a strong foundation in machine learning, LLMs, AI tooling, and modern development practices. They must be able to understand existing codebases, debug issues, implement new features, and collaborate with the team to improve our AI systems. This role requires the ability to work with AI coding assistants (e.g., Claude), but with a solid understanding of the underlying logic, architecture, and algorithms to ensure code quality and maintainability.Key Responsibilities:<ul><li>Develop new features for our AI products across multiple modules and components.</li><li>Understand the architecture, workflows, and logic behind existing AI systems.</li><li>Debug issues, investigate model behavior, and provide support for already deployed AI features.</li><li>Enhance and improve existing AI functionalities to increase performance, accuracy, and scalability.</li><li>Use Claude as a development assistant while maintaining complete ownership and understanding of all produced code.</li><li>Integrate and fine-tune LLMs and AI tools based on product needs.</li><li>Collaborate with Product, QA, and Development teams to deliver high-quality releases.</li><li>Write clean, efficient, and well-documented code following engineering best practices.</li><li>Stay updated with the latest AI tools, frameworks, models, and industry trends.</li></ul>Qualification<ul><li>Strong foundational knowledge of Machine Learning, NLP, and LLM (Large Language Model) concepts.</li><li>1-2 years of experince working as AI Engineer</li><li>Hands-on experience with Python and common AI/ML libraries (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).</li><li>Understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and embeddings.</li><li>Ability to work with APIs (OpenAI, Anthropic Claude, Google GenAI, etc.).</li><li>Solid debugging and problem-solving skills for AI applications.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.</li><li>Understanding of version control (Git) and CI/CD workflows.</li><li>Ability to read, understand, and refactor code written with AI assistance tools.</li></ul>Preferred Tools &amp; Technologies<ul><li>LLMs &amp; AI Platforms: Claude, OpenAI GPT, HuggingFace, Google Vertex AI</li><li>Vector Databases: Pinecone, Weaviate, Milvus, Qdrant</li><li>Frameworks &amp; Libraries: LangChain, LlamaIndex, Transformers</li><li>ML Tools: Jupyter, Pandas, NumPy, Scikit-learn</li><li>DevOps &amp; Deployment: Docker, Linux basics, NGINX, FastAPI/Flask</li><li>Other Tools: Redis, MongoDB, ElasticSearch (optional)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary </li></ul>Work Location: In person

Argon Tech

We are seeking a senior level AWS AI Engineer to design and implement a scalable, production ready Retrieval Augmented Generation system fully native to Amazon AWS. This role is backend and infrastructure focused, with no frontend responsibilities.The ideal candidate has deep hands on experience with Amazon Bedrock and AWS managed services and has previously worked on RAG pipelines, LLM evaluation, and AI infrastructure at scale.Key Responsibilities<ul><li>Design and build RAG pipelines using Amazon Bedrock and Bedrock Knowledge Bases</li><li>Implement retrieval layers using Amazon OpenSearch or AWS RDS</li><li>Orchestrate inference, retrieval, and evaluation workflows using AWS Lambda</li><li>Enable switching and comparison between multiple LLMs within Bedrock, including native and external models such as GPT and Gemini</li><li>Build automated evaluation frameworks for prompt performance, output quality, and chain logic</li><li>Implement AI guardrails, governance, and scalability controls using AWS native tooling</li><li>Ensure the system is modular, testable, and ready for future expansion</li></ul>Required Skills and Experience<ul><li>Strong hands on experience with Amazon AWS services</li><li>Proven expertise in Amazon Bedrock and Bedrock Knowledge Bases</li><li>Experience with AWS Lambda, OpenSearch, and RDS</li><li>Solid understanding of Retrieval Augmented Generation architectures</li><li>Experience building evaluation or testing frameworks for LLM outputs</li><li>Ability to work without frontend or UI dependencies</li><li>Strong grasp of scalable and standardized cloud architecture</li></ul>Preferred Qualifications<ul><li>Experience comparing and benchmarking multiple LLMs in production</li><li>Familiarity with prompt engineering and chain of thought orchestration</li><li>Exposure to AWS guardrails, IAM, logging, and monitoring for AI systems</li><li>Background in MVP to production transitions for AI products</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore Johar Town: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)</li></ul>Application Question(s):<ul><li>Please share your current salary, expected and notice period.</li></ul>Experience:<ul><li>AWS AI Development: 4 years (Preferred)</li></ul>Work Location: In person

AWS AI Engineer

Cinnova International

Job Overview:Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.Key Responsibilities:Agentic AI Development <ul><li>Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.</li><li>Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.</li><li>Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.</li><li>Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost. AI and ML Engineering</li><li>Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.</li><li>Configure and deploy inference endpoints using AWS Sagemaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.</li><li>Manage model versioning, monitoring, experiment tracking, and data pipelines.</li></ul>Automation and Integration<ul><li>Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.</li><li>Create reusable components for agent invocation, memory management, prompt templates, and decision trees.</li><li>Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution. Quality, Testing, and Reliability</li><li>Conduct stress testing, fallback logic design, and scenario validation for agentic systems.</li><li>Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.</li></ul>Required Qualifications: <ul><li>3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.</li><li>Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.</li><li>Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.</li><li>Familiarity with open-source ML tools: Kubeflow, MLflow, Ray, or similar.</li><li>Experience working with AWS, Azure, or GCP for deploying AI workloads.</li><li>Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.</li><li>Strong skills in Python or JavaScript for implementing agent logic.</li></ul>Perks and Benefits:<ul><li>Competitive Salary</li><li>Provident Fund and Medical Allowances</li><li>Professional Training and Certifications</li><li>Paid Time Off</li><li>Semi-Annual Performance Bonus and Awards</li><li>Hajj/Umrah Leaves</li><li>Maternity/Paternity Leaves</li><li>Wedding Leaves</li><li>Long Service Bonus and Awards</li><li>Friday Lunch</li><li>Company Sports, Game Nights, Dinners</li><li>Fun and Dynamic Working Environment</li></ul>About Cinnova:Cinnova is an innovation-focused software development company helping startups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we have always been at the forefront of the technology landscape by bringing innovation to both startups and growth companies.Cinnova = (C)reativity + (innova)tion. This is our guiding principal both internally for our employees and externally for our customers. With that in mind, we promote a startup culture and encourage innovative ideas to incorporate in our delivery to our clients. This has been very successful as we are proud to have members who come from a startup background and continue to help Cinnova being an innovation hub.Job Type: Full-timeWork Location: In person

Agentic AI Engineer

Digixvalley Pvt Ltd

Associate AI Engineer

Cogent Labs

<div>
 
 Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office
 
 .
 
 
 
 Job Type: On-site
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination
 </li>
 <li>
 Architect agentic and multi-agent systems to handle complex workflows
 </li>
 <li>
 Drive prompt engineering strategies and own the quality of model outputs
 </li>
 <li>
 Implement RAG pipelines, fine-tune LLMs, and manage inference at scale
 </li>
 <li>
 Collaborate with product, data, and engineering teams to integrate AI into production systems
 </li>
 <li>
 Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling
 </li>
 <li>
 Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models
 </li>
 <li>
 Ensure models are secure, efficient, and compliant with responsible AI practices
 
 
 </li>
 </ul>
 
 Must-Haves
 
 
 
 <ul>
 <li>
 3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field
 </li>
 <li>
 At least 2 years of hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain, LangGraph, and LangSmith
 </li>
 <li>
 Advanced Prompt engineering
 </li>
 <li>
 Multi-agentic systems (CrewAI, A2A etc.)
 </li>
 <li>
 Evaluation Framework(s)
 </li>
 <li>
 Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol)
 </li>
 </ul>
 <li>
 Strong Python expertise, especially in async programming, and background job processing
 </li>
 <li>
 You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure
 </li>
 <li>
 Proven ability to solve complex, non-trivial problems using LLMs and generative AI
 </li>
 <li>
 Solid understanding of transformer architecture and model optimization
 </li>
 <li>
 Experience with observability for GenAI Applications
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with multimodal models (e.g., vision + language)
 </li>
 <li>
 Experience with hosting and scaling self-hosted models
 </li>
 <li>
 Exposure to FastAPI, Django, or other API frameworks
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communicator with leadership and mentoring skills
 </li>
 <li>
 Collaborative and able to turn abstract ideas into real solutions
 </li>
 <li>
 Proactive, self-driven, and thrives in fast-paced environments
 </li>
 <li>
 Self-accountability and the ability to set a higher bar for the team
 
 
 </li>
 </ul>
 
 Deal Breakers
 
 
 
 <ul>
 <li>
 No experience with GenAI
 </li>
 <li>
 No track record in prompt engineering or LLM-based applications
 
 
 </li>
 </ul>
 Attractive Perks
 
 
 <ul>
 <li>
 Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more
 
 
 </li>
 </ul>
 Cultural Fit
 
 
 <ul>
 <li>
 Inclusive approach, high energy and integrity, Attention to detail
 </li>
 </ul>
</div>

Senior Generative AI Engineer

Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office.Key Responsibilities<ul><li>Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination</li><li>Architect agentic and multi-agent systems to handle complex workflows</li><li>Drive prompt engineering strategies and own the quality of model outputs</li><li>Implement RAG pipelines, fine-tune LLMs, and manage inference at scale</li><li>Collaborate with product, data, and engineering teams to integrate AI into production systems</li><li>Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling</li><li>Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models</li><li>Ensure models are secure, efficient, and compliant with responsible AI practices</li></ul>Must-Haves<ul><li>3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field</li><li>At least 2 years of hands-on experience with:</li><li>LangChain, LangGraph, and LangSmith</li><li>Advanced Prompt engineering</li><li>Multi-agentic systems (CrewAI, A2A etc.)</li><li>Evaluation Framework(s)</li><li>Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning</li><li>Familiarity with MCP (Model Context Protocol)</li><li>Strong Python expertise, especially in async programming, and background job processing</li><li>You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure</li><li>Proven ability to solve complex, non-trivial problems using LLMs and generative AI</li><li>Solid understanding of transformer architecture and model optimization</li><li>Experience with observability for GenAI Applications</li></ul>Nice to Have<ul><li>Experience with multimodal models (e.g., vision + language)</li><li>Experience with hosting and scaling self-hosted models</li><li>Exposure to FastAPI, Django, or other API frameworks</li></ul>Soft Skills<ul><li>Strong communicator with leadership and mentoring skills</li><li>Collaborative and able to turn abstract ideas into real solutions</li><li>Proactive, self-driven, and thrives in fast-paced environments</li><li>Self-accountability and the ability to set a higher bar for the team</li></ul>Deal Breakers<ul><li>No experience with GenAI</li><li>No track record in prompt engineering or LLM-based applications</li></ul>Attractive Perks<ul><li>Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more</li></ul>Cultural Fit<ul><li>Inclusive approach, high energy and integrity, Attention to detail</li></ul>Job Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Explore 503+ Ai engineer in Charge Design Mechanical Jobs In Lahore this January. Find roles across top companies and apply now to boost your career.

503 ai engineer jobs IN Charge Design Mechanical Jobs In Lahore

AI Engineer

AI Engineer

AWS AI Engineer

Agentic AI Engineer

Associate AI Engineer

Senior Generative AI Engineer

Senior Generative AI Engineer