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ai engineer - game development (production acceleration & tooling) Jobs in Lahore

ai engineer

Contour Software

<div>
 
 About Contour
 
 
 
 Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.
 
 
 As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.
 
 
 What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!
 
 
 
 Job Description: AI Engineer - DIS
 
 
 
 
 The Division
 
 
 
 Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.
 
 
 Division Profile: https://www.discorp.com/
 
 
 
 The Position
 
 
 
 The division is seeking a
 
 AI Engineer
 
 to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.
 
 
 The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&amp;D department.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 AI Platform Architecture:
 </li>
 <li>
 Design and implement the enterprise GenAI architecture from the ground up.
 </li>
 <li>
 Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure.
 </li>
 <li>
 Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows.
 </li>
 <li>
 Define scalable patterns for agentic systems and domain-aware assistants.
 </li>
 <li>
 LLM Systems in Production:
 </li>
 <li>
 Integrate LLM providers (OpenAI, Anthropic, open-weight models, or hybrid approaches) into secure, observable enterprise systems.
 </li>
 <li>
 Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks.
 </li>
 <li>
 Design for latency, cost optimization, safety, and reliability at scale.
 </li>
 <li>
 Establish measurable quality benchmarks and evaluation strategies for AI outputs.
 </li>
 <li>
 Responsible &amp; Enterprise-Ready AI:
 </li>
 <li>
 Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.
 </li>
 <li>
 Define governance standards for data provenance, auditability, and transparency.
 </li>
 <li>
 Build AI systems that engineering and compliance teams can trust.
 </li>
 <li>
 AI Adoption &amp; Enablement:
 </li>
 <li>
 Translate high-impact business problems into AI-native architectures.
 </li>
 <li>
 Partner with product leaders to prioritize AI features that drive measurable value.
 </li>
 <li>
 Mentor engineers and raise the organization&rsquo;s AI maturity.
 </li>
 <li>
 Move teams from PoCs to scalable, production-grade AI capabilities.
 
 
 </li>
 </ul>
 
 Required Education And Experience
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.
 </li>
 <li>
 5+ years building applied AI/ML systems, with strong recent experience in Generative AI.
 </li>
 <li>
 Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation).
 </li>
 <li>
 Deep understanding of vector search, semantic retrieval, and AI system evaluation.
 </li>
 <li>
 Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures.
 </li>
 <li>
 Strong cloud-native engineering experience (AWS, Azure, or GCP).
 </li>
 <li>
 Advanced Python skills and experience building scalable backend systems and APIs.
 </li>
 <li>
 Experience implementing observability, CI/CD, and monitoring for AI systems in production.
 </li>
 <li>
 Ability to balance innovation with enterprise constraints (security, compliance, reliability).
 
 
 </li>
 </ul>
 
 What Makes This Role Different
 
 
 
 <ul>
 <li>
 You are not inheriting a legacy AI stack; you will help define it.
 </li>
 <li>
 You will shape AI standards, architecture, and governance across the division.
 </li>
 <li>
 Your work will power real customer-facing products and operational intelligence.
 </li>
 <li>
 You will operate at the intersection of AI strategy, architecture, and hands-on engineering.
 
 
 </li>
 </ul>
 
 Exciting Benefits We Offer
 
 
 
 <ul>
 <li>
 Market-leading Salary
 </li>
 <li>
 Medical Coverage &ndash; Self &amp; Dependents
 </li>
 <li>
 Parents Medical Coverage
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Employee Performance-based bonuses
 </li>
 <li>
 Home Internet Subsidy
 </li>
 <li>
 Conveyance Allowance
 </li>
 <li>
 Profit Sharing Plan [Tenured Employees Only]
 </li>
 <li>
 Life Benefit
 </li>
 <li>
 Child Care Facility
 </li>
 <li>
 Company Provided Lunch/Dinner
 </li>
 <li>
 Professional Development Budget
 </li>
 <li>
 Recreational area for in-house games
 </li>
 <li>
 Sporadic On-shore training opportunities
 </li>
 <li>
 Friendly work environment
 </li>
 <li>
 Leave Encashment
 
 
 </li>
 </ul>
 
 
 Disclaimer:
 
 
 
 At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
 
 
 
 
 In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.
 
</div>

Junior AI Engineer

My Digital People

We are seeking a highly motivated and hands-on AI Engineer with 2&ndash;3 years of experience in building, deploying, and maintaining AI-powered systems and workflows. This role focuses on practical implementation across Generative AI, Agentic Automation, Voice AI, and Open-Source Model Deployment.The ideal candidate will have experience designing intelligent automation pipelines, deploying AI models in cloud environments, and rapidly adapting to new AI tools, frameworks, and emerging technologies. You will collaborate closely with cross-functional teams to deliver scalable, production-ready AI solutions.Key ResponsibilitiesAgentic AI &amp; Workflow Automation<ul><li>Design and build agentic AI workflows and automation pipelines using frameworks such as LangChain, LangGraph, and similar tools.</li><li>Architect multi-agent systems where multiple AI agents collaborate, delegate tasks, and execute complex workflows autonomously.</li><li>Develop AI-powered automation systems using no-code/low-code platforms including n8n, Make, Flowise, alongside custom Python development.</li></ul>Voice AI Development<ul><li>Build and deploy voice agents using tools such as Vapi, ElevenLabs, or comparable platforms.</li><li>Integrate speech-to-text (STT), text-to-speech (TTS), and conversational voice capabilities into AI solutions.</li></ul>Model Deployment &amp; Infrastructure<ul><li>Deploy, host, and maintain open-source AI models for chat, voice, image, and video generation on cloud/GPU infrastructure.</li><li>Fine-tune open-source models using LoRA / QLoRA for domain-specific applications.</li><li>Manage cloud environments including provisioning, scaling, monitoring, and cost optimization.</li></ul>RAG / Knowledge Base Management<ul><li>Design and maintain knowledge bases and data pipelines, including:</li><li>Document ingestion and processing</li><li>Chunking strategies</li><li>Embedding pipelines</li><li>RAG source management and freshness</li></ul>Prompt Engineering &amp; AI Architecture<ul><li>Craft production-grade prompts and system prompts for reliable AI outputs.</li><li>Design multi-turn conversational flows and optimize context window management.</li><li>Select and orchestrate appropriate AI models across providers (OpenAI, Anthropic, Google, Open Source) based on use-case requirements.</li></ul>Testing, Evaluation &amp; Monitoring<ul><li>Build evaluation/testing pipelines for AI outputs, including:</li><li>LLM-as-Judge frameworks</li><li>Human evaluation workflows</li><li>Prompt regression testing</li><li>Set up observability/logging systems using tools such as LangSmith, Helicone, or custom monitoring solutions.</li><li>Monitor agent performance, trace failures, and improve output quality over time.</li></ul>Security &amp; Optimization<ul><li>Implement AI security guardrails, including:</li><li>Prompt injection mitigation</li><li>Output filtering</li><li>PII protection</li><li>Safe-by-default AI architecture</li><li>Optimize inference costs using:</li><li>Token management</li><li>Caching strategies</li><li>Smart model routing</li></ul>Engineering Best Practices<ul><li>Contribute to CI/CD pipelines and maintain clean, scalable, production-ready codebases.</li><li>Collaborate with teams to integrate AI solutions into products and business processes.</li><li>Continuously explore and integrate emerging AI tools, models, and frameworks.</li></ul>Required Skills &amp; ExperienceExperience<ul><li>2&ndash;3 years of experience in AI/ML systems, AI-focused software engineering, or related technical roles.</li><li>Proven experience building and deploying AI-powered systems in production.</li></ul>AI &amp; Automation<ul><li>Hands-on experience with:</li><li>Agentic AI workflows</li><li>AI automation pipelines</li><li>Multi-agent architectures</li><li>Task delegation patterns</li></ul>Programming &amp; Frameworks<ul><li>Strong proficiency in Python</li><li>Experience with:</li><li>LangChain / LangGraph / Similar orchestration frameworks</li><li>REST APIs / Webhooks / Microservices</li><li>MCP (Model Context Protocol) for tool/service integrations</li></ul>Voice AI<ul><li>Experience with:</li><li>Vapi</li><li>ElevenLabs</li><li>Other voice/conversational AI platforms</li></ul>Deployment &amp; Infrastructure<ul><li>Ability to deploy/serve:</li><li>Open-source LLMs</li><li>Image/Video Generation Models</li><li>TTS/STT Models</li><li>Experience with:</li><li>Docker</li><li>Basic Kubernetes</li><li>GPU/cloud hosting environments</li></ul>Fine-Tuning / Optimization<ul><li>Familiarity with:</li><li>LoRA / QLoRA</li><li>Model customization techniques</li></ul>Evaluation &amp; Testing<ul><li>Experience building:</li><li>AI evaluation pipelines</li><li>Prompt testing/regression systems</li></ul>Security<ul><li>Understanding of:</li><li>Prompt injection defense</li><li>Output moderation/filtering</li><li>PII handling</li></ul>Cloud Platforms<ul><li>Experience with:</li><li>Azure / AWS / GCP</li><li>Understanding of:</li><li>Hosting</li><li>Scaling</li><li>Monitoring</li><li>Cost control</li></ul>Observability<ul><li>Familiarity with:</li><li>LangSmith</li><li>Helicone</li><li>AI tracing/debugging tools</li></ul>Knowledge Base / RAG<ul><li>Strong understanding of:</li><li>Embedding pipelines</li><li>Vector search</li><li>Chunking/document strategies</li><li>RAG maintenance</li></ul>Nice to Have<ul><li>Experience with Vector Databases:</li><li>Pinecone, FAISS, Weaviate, Qdrant</li><li>Familiarity with:</li><li>Claude Code / Cursor / AI-assisted development tools</li><li>Experience with:</li><li>ComfyUI / Stable Diffusion / Open-source image-video generation</li><li>Knowledge of:</li><li>WebSockets / Real-time Streaming / Telephony Integrations</li><li>Exposure to:</li><li>Azure ML / Databricks / Distributed Training / Mixed Precision (fp16)</li><li>Understanding of:</li><li>Responsible AI / Governance Practices</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li>OR equivalent practical experience</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

Skylinx Technologies

AI Engineer &ndash; Lahore (On-Site)We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Work Location: In person

AI Engineer (In-House)

Hustech

hustech.ai builds production-ready AI systems for real businesses. We work with international clients across automation, NLP, Computer Vision, LLM applications, and custom AI products. Our focus is delivery, reliability, and real business outcomes.Role OverviewWe are hiring an experienced Applied AI Engineer who can take ownership of client projects from start to finish.This is not a research-only role and not for fresh graduates. We need someone who can understand client requirements, design the right solution, build the system, deploy it, and support delivery.You should be comfortable handling different AI project types such as ML, Deep Learning, NLP, Computer Vision, LLM apps, RAG systems, and AI agents.What You&rsquo;ll Do<ul><li>Join client calls and convert requirements into technical solutions</li><li>Design end-to-end AI system architecture</li><li>Build and train ML / DL models</li><li>Develop NLP, CV, LLM, RAG, and agent-based systems</li><li>Build APIs and backend services using Python / FastAPI</li><li>Deploy solutions using Docker and cloud platforms</li><li>Integrate AI systems into client products and workflows</li><li>Optimize performance, accuracy, and scalability</li><li>Debug issues and deliver production-ready systems</li><li>Communicate progress clearly with international clients</li></ul>Required Experience<ul><li>3+ years professional industry experience (real client work, not coursework)</li><li>Proven experience delivering end-to-end AI projects</li><li>Strong Python skills</li><li>Hands-on experience in several of these areas: ML, DL, NLP, CV, LLMs, RAG, Agents etc</li><li>Experience with PyTorch or TensorFlow</li><li>Experience with APIs, FastAPI, Docker, deployment</li><li>Strong problem-solving and system design skills</li><li>Good spoken and written English</li><li>Comfortable speaking with international clients</li></ul>Preferred Skills<ul><li>AWS, GCP, or Azure</li><li>Vector databases (Qdrant, Pinecone, Weaviate)</li><li>OpenCV, Hugging Face, Scikit-learn</li><li>Automation tools and workflow systems</li></ul>Who Should ApplyApply only if you have already built and delivered real AI systems for companies or clients and can work independently with ownership.EducationBachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.Job Type: Full-timePay: Rs80,000.00 - Rs130,000.00 per monthExperience:<ul><li>AI Engineer: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI/ML Engineer

Friday Media Group Pakistan

<div>
 
 
 Type: Full-timeCompany: Friday Media Group (FMG)About the Role:
 
 
 
 We are building a next-generation
 
 AI Agent Platform
 
 across our group, alongside deploying specialised AI agents within our products and business wide operations. We are looking for a
 
 hands-on AI Engineer
 
 with strong experience in:
 
 <ul>
 <li>
 building and deploying AI agents
 </li>
 <li>
 designing
 
 production-grade RAG (Retrieval-Augmented Generation) systems
 
 </li>
 <li>
 working with frameworks such as
 
 LangChain and CrewAI
 
 </li>
 </ul>
 
 This is not a research role.
 
 
 We are looking for someone who has
 
 built and shipped real AI systems into production environments
 
 .
 
 
 
 
 
 
 What You Will Be Working On:
 
 
 <ul>
 <li>
 Designing and building
 
 multi-agent systems
 
 for real-world business workflows
 </li>
 <li>
 Developing agents across:
 </li>
 <li>
 Finance
 </li>
 <li>
 Customer support automation
 </li>
 <li>
 Marketing workflows
 </li>
 <li>
 Sales and CRM automation
 </li>
 <li>
 Building
 
 RAG-powered systems
 
 to enable agents to retrieve and reason over internal data
 </li>
 <li>
 Integrating AI agents with real systems:
 </li>
 <li>
 NetSuite
 </li>
 <li>
 N8N&nbsp;
 </li>
 <li>
 CRMs
 </li>
 <li>
 Email systems
 </li>
 <li>
 Internal APIs and databases
 </li>
 <li>
 Creating
 
 hybrid systems combining rules, workflows, and LLM reasoning
 
 </li>
 <li>
 Implementing structured outputs (JSON, workflows, automation triggers)
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build, test, and deploy
 
 AI agents end-to-end
 
 </li>
 <li>
 Design
 
 agent architectures
 
 (single-agent, multi-agent, tool-using agents)
 </li>
 <li>
 Develop and optimise
 
 RAG pipelines
 
 , including:
 </li>
 <li>
 document ingestion and chunking strategies
 </li>
 <li>
 embedding pipelines
 </li>
 <li>
 vector search and retrieval optimisation
 </li>
 <li>
 grounding LLM outputs with internal data
 </li>
 <li>
 Implement
 
 context management, memory, and tool usage
 
 within agents
 </li>
 <li>
 Hands on experience with N8N or similar workflow automation tools
 </li>
 <li>
 Integrate agents with external APIs, databases, and SaaS platforms
 </li>
 <li>
 Build evaluation, monitoring, and logging systems for agent performance
 </li>
 <li>
 Optimise for
 
 accuracy, latency, and cost efficiency
 
 </li>
 <li>
 Work closely with product teams to translate workflows into AI-driven systems
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 Strong experience in
 
 Python
 
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 
 LangChain
 
 </li>
 <li>
 
 CrewAI
 
 (or similar multi-agent frameworks)
 </li>
 <li>
 Proven experience building
 
 production-grade AI agents
 
 </li>
 <li>
 Strong experience with
 
 RAG systems
 
 , including:
 </li>
 <li>
 embeddings and vector search
 </li>
 <li>
 retrieval optimisation (filters, hybrid search, ranking)
 </li>
 <li>
 grounding outputs with structured and unstructured data
 </li>
 <li>
 Experience working with
 
 vector databases
 
 such as:
 </li>
 <li>
 
 Pinecone
 
 </li>
 <li>
 or alternatives (Weaviate, FAISS, etc.)
 </li>
 <li>
 Experience with LLM APIs (OpenAI, Gemini, etc.)
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 prompt design
 </li>
 <li>
 tool/function calling
 </li>
 <li>
 memory and context handling
 </li>
 </ul>
 
 
 
 
 
 Preferred (Nice to Have):
 
 
 <ul>
 <li>
 Experience building AI agents in:
 </li>
 <li>
 Finance (AP, AR, reporting, forecasting)
 </li>
 <li>
 Marketing automation
 </li>
 <li>
 Sales / CRM workflows
 </li>
 <li>
 Customer support systems
 </li>
 <li>
 Experience with
 
 fine-tuning or adapting models
 
 , including:
 </li>
 <li>
 instruction tuning
 </li>
 <li>
 domain adaptation
 </li>
 <li>
 evaluation of fine-tuned vs prompt-based approaches
 </li>
 <li>
 Experience with advanced RAG patterns:
 </li>
 <li>
 hybrid search (vector + keyword)
 </li>
 <li>
 re-ranking models
 </li>
 <li>
 agent-driven retrieval strategies
 </li>
 <li>
 Experience with:
 </li>
 <li>
 Supabase / PostgreSQL
 </li>
 <li>
 FastAPI or similar backend frameworks
 </li>
 <li>
 event-driven or workflow-based systems
 </li>
 <li>
 Exposure to NetSuite or financial systems is a strong plus
 </li>
 </ul>
 
 
 
 
 
 What We Are Looking For:
 
 
 <ul>
 <li>
 Someone who has
 
 actually built and deployed AI agents
 
 , not just experimented
 </li>
 <li>
 Strong problem solver who can translate business workflows into AI systems
 </li>
 <li>
 Comfortable working in a
 
 fast-moving, product-driven environment
 
 </li>
 <li>
 Ability to balance:
 </li>
 <li>
 LLM reasoning
 </li>
 <li>
 deterministic rules
 </li>
 <li>
 system design
 </li>
 </ul>
 
 
 Important Note
 
 
 
 We are not looking for basic &ldquo;chat with documents&rdquo; implementations.
 
 
 We are building
 
 production-grade AI systems integrated with real business workflows and decision engines
 
 .
 
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Work on
 
 real-world AI deployment
 
 , not just prototypes
 </li>
 <li>
 Build systems that directly impact business operations
 </li>
 <li>
 Opportunity to shape a
 
 group-wide AI platform (FridayOS vision)
 
 </li>
 <li>
 Exposure to multiple domains: finance, marketplaces, SaaS, recruitment
 </li>
 </ul>
</div>

Senior AI Engineer – Agent Systems & RAG (LangChain / CrewAI / Python / N8N)

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

UserWise Services

<div>About UserWise
We&rsquo;re building a high-speed, AI-assisted game production team focused on developing and scaling mobile games globally.
This is not a traditional game team. We operate with ownership, clarity, and execution speed &mdash; leveraging AI-driven workflows to move faster than most studios.
We work across a global team, building production-ready games and scaling them through LiveOps. Our focus is simple: increase the number of high-quality bets and turn them into scalable products.
Our team is already working across established franchises such as Fruit Ninja and Wordscapes, contributing to both development and growth initiatives.
Why Join
You&rsquo;ll be part of a team applying AI to real production environments &mdash; not research, but building systems that directly impact how games are created and scaled. 
Requirements 

What You&rsquo;ll Do
You will build systems and tools that accelerate game development across design, engineering, art, and QA.<ul><li>
Create AI-assisted workflows and tools that enable faster content creation (levels, assets, systems) directly within Unity Engine.</li><li>
Automate repetitive processes across production pipelines</li><li>
Work closely with designers, artists, QA, and engineers to improve workflows</li><li>
Integrate AI Capabilities: Connect our development environment with external AI/LLM models and APIs e.g. Claude Code MCP servers, Cursor Skills, to automate repetitive production pipelines.</li><li>
Rapidly prototype and deploy solutions that increase team velocity</li><li>
Continuously improve how games are built, tested, and scaled</li></ul>
What You Bring<ul><li>
Strong engineering background 4+ years of experience in game development</li><li>
Fluency in C# and deep familiarity with Unity Engine</li><li>
Experience working with AI/LLM-based tools or systems</li><li>
You are a builder &mdash; you ship tools and solutions, not just ideas</li><li>
You focus on practical impact, not theoretical research</li><li>
You can work across disciplines (design, art, QA, product)</li><li>
You are comfortable moving fast and iterating quickly</li><li>
You take ownership and solve problems end-to-end</li><li>
You care about improving speed, scalability, and efficiency</li></ul>
Environment<ul><li>
High ownership &mdash; you build systems that impact the entire team</li><li>
High speed &mdash; rapid iteration and deployment of tools</li><li>
AI-first workflows &mdash; real application of AI in production</li><li>
Global team &mdash; collaborate across multiple disciplines and regions</li><li>
Low bureaucracy &mdash; minimal process, maximum execution</li></ul> 
Benefits 
<ul><li>
Market competitive, tax-free USD salaries</li><li>
Private Health Insurance</li><li>
Paid Time Off</li><li>
Performance Bonus</li><li>
Annual Performance Reviews</li></ul></div>

AI Engineer - Game Development (Production Acceleration & Tooling)

Explore 255+ Ai engineer in Lahore this April. Find roles across top companies and apply now to boost your career.