agentic ai engineer

Datamatics Global Services Ltd

<div><p><b>Job Title:</b> Agentic AI Engineer<br>
<b>Location:</b> Islamabad, Pakistan (Onsite)<br>
<b>Experience:</b> 7&ndash;8 Years<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
Job Overview</b></h3><p>
We are looking for a highly skilled <b>Agentic AI Engineer</b> to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>agentic AI systems</b> that can plan, reason, and execute tasks autonomously.</p></li><li><p>
Build and optimize applications using <b>Large Language Models (LLMs)</b> and advanced AI frameworks.</p></li><li><p>
Develop multi-agent architectures for complex workflows and decision-making processes.</p></li><li><p>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</p></li><li><p>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</p></li><li><p>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</p></li><li><p>
Ensure scalability, security, and performance of AI systems in production.</p></li><li><p>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><p>
7&ndash;8 years of experience in <b>AI/ML, software engineering, or applied AI development</b>.</p></li><li><p>
Strong programming experience in <b>Python</b>.</p></li><li><p>
Hands-on experience with <b>LLMs and AI frameworks</b> such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</p></li><li><p>
Experience with <b>RAG architectures</b>, vector databases, and embeddings.</p></li><li><p>
Familiarity with <b>OpenAI, open-source LLMs, or similar AI model ecosystems</b>.</p></li><li><p>
Experience building <b>AI agents, automation workflows, or intelligent assistants</b>.</p></li><li><p>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</p></li><li><p>
Experience with Docker, CI/CD, and scalable system design.</p></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><p>
Experience with <b>multi-agent systems and autonomous AI workflows</b>.</p></li><li><p>
Knowledge of <b>prompt engineering, model evaluation, and AI safety</b>.</p></li><li><p>
Familiarity with <b>vector databases</b> such as Pinecone, Weaviate, or FAISS.</p></li><li><p>
Experience working in <b>AI startups or advanced R&amp;D environments</b>.</p></li><li><p>
Background in <b>Computer Science, AI, Data Science, or related field</b>.</p></li></ul><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul><li><p>
Opportunity to work on cutting-edge <b>AI and autonomous systems</b>.</p></li><li><p>
Competitive salary and growth opportunities.</p></li><li><p>
Collaborative and innovation-driven work environment.</p></li><li><p>
Exposure to global AI projects and modern technology stack.</p></li></ul><p>
</p><p>Hr0rUNuBPn</p></div>

Agentic AI Engineer

NEXT eBIZ

<p><b>Location:</b> Islamabad, Pakistan</p><p><b>Reimagine Work Through Agentic AI</b></p><p>We are a rapidly growing multinational group with operations across the UK, USA, Malaysia, and the UAE. As we expand our AI capabilities, we are seeking a forward-thinking <b>AI Engineer</b> to design and deliver agentic AI systems that automate workflows, enhance productivity, and scale global business operations.</p><p>This role sits at the intersection of AI engineering, workflow automation, and business impact. You will architect intelligent, multi-agent systems that operate autonomously across e-commerce, operations, recruitment, logistics, and customer experience.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement agentic AI workflows for real-time task execution and decision-making</li><li>Build and orchestrate multi-step automation pipelines using agent frameworks and workflow tools</li><li>Develop multi-agent architectures to support e-commerce growth, sales, recruitment, and logistics</li><li>Integrate AI solutions into internal operations and customer-facing systems</li><li>Build custom GPTs, AI copilots, and autonomous agents aligned with business objectives</li><li>Collaborate with global teams to identify automation opportunities and optimize workflows</li><li>Support non-technical teams with AI onboarding, prompt strategy, and best practices</li><li>Contribute to the AI roadmap with a focus on scalability, reliability, and responsible AI adoption</li></ul><p><b>Required Qualifications</b></p><ul><li>Hands-on experience with <b>agentic AI frameworks</b> (e.g., AutoGPT, BabyAGI, OpenAgents, CrewAI)</li><li>Strong experience building multi-step workflows using <b>LangChain</b>, automation platforms, or custom scripts</li><li>Proficiency in <b>Python</b> (required); JavaScript or TypeScript is a plus</li><li>Experience integrating AI into <b>e-commerce, customer service, logistics, or internal operations</b></li><li>Practical experience with <b>LLM APIs</b> (OpenAI, Claude, Gemini, Mistral, etc.)</li><li>Experience designing and implementing <b>RAG (Retrieval-Augmented Generation)</b> systems</li><li>Familiarity with <b>vector databases</b> such as Pinecone, Weaviate, or FAISS</li><li>Ability to deploy, monitor, and optimize autonomous agents in production environments</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with agent memory, prompt optimization, or RLHF concepts</li><li>Exposure to orchestration tools such as Airflow, Zapier, or Make</li><li>Understanding of AI governance, ethics, and performance monitoring</li></ul><p><b>What We Offer</b></p><ul><li>Opportunity to work on real-world, production-grade AI systems</li><li>Collaboration with international teams across multiple regions</li><li>High-impact role influencing automation and AI strategy at scale</li><li>Competitive compensation based on experience</li><li>Long-term growth within a fast-scaling global organization</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI Workflow / AI Operations Engineer

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.</p><p>
As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p><p><b>
How will you make an impact in this role?</b></p><p>
The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.</p><p>
At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.</p><p>
Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.</p><p>
We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.</p><p><b>
The Role
</b></p><p>As a Senior Staff Data Engineer &ndash; Agentic AI, you will operate as a senior individual contributor within Amex Technology, helping define how agentic AI systems are designed, built, and operated across the company.<br>
You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.</p><p>
You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence what gets built and how agentic systems come together across teams.</p><p>
This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space. Mentoring, developing and managing direct reports may be in scope for some of our opportunities.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li>
Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li>
Own and evolve shared agentic AI capabilities, including:<ul><li>
Agent frameworks and orchestration layers</li><li>
Planning, tool use, and memory strategies</li><li>
Retrieval and grounding (RAG) pipelines</li><li>
LLM infrastructure, inference, and model gateways</li><li>
Evaluation, observability, and safety tooling for autonomous systems</li></ul></li><li>
Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li>
Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.</li><li>
Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li>
Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><p><b>
Technical Environment</b></p><p>
We don&rsquo;t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.</p><p><b>
Core engineering stack</b></p><ul><li>
Languages: Python, Go, TypeScript</li><li>
APIs and RPC: REST, gRPC (and in some areas tRPC)</li><li>
Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li>
Distributed systems: event-driven architectures, including Kafka</li><li>
Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li></ul><p><b>
Agentic AI and ML</b></p><ul><li>
Integration of commercial and open-source LLMs into agentic workflows</li><li>
Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li>
Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li>
Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)
</li></ul><p>Across all systems, we emphasize evaluation, observability, safety, and reliability, reflecting the responsibility of deploying autonomous AI in a regulated, customer-facing environment.</p><p><b>
What We&rsquo;re Looking For</b></p><ul><li>
12+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li>
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li>
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li>
Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li>
Fluency with AI-assisted and agentic development workflows.</li><li>
Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li>
Ability to influence technical direction and align teams without formal authority.</li><li><p>
Experience in workflow engines, async processing, queues, and streaming systems.</p></li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience building agentic systems in fintech or other regulated industries.</li><li>
Experience as a founding engineer or early technical leader in AI-driven products.</li><li>
Demonstrated success delivering technically complex autonomous systems that customers actively rely on.</li><li>
Meaningful contributions to open-source AI or agentic frameworks.</li><li>
Familiarity with fine-tuning, model optimization and inference pipelines is a plus</li></ul>
<p>
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:</p><ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
Support for financial-well-being and retirement</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
Generous paid parental leave policies (depending on your location)</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul><p>
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.</p><p>
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</p></div>

Senior Staff Data Engineer - Agentic AI

HR Ways

<p>We're hiring an <b>Senior AI/ML Engineer (Karachi - Onsite)</b></p><p><b>Role Overview</b></p><p>This role is ideal for a <b>Lead Software Engineer with 7+ years of experience</b> in software development, especially in autonomous AI agents and LLM frameworks like LangChain, LangGraph, or AutoGPT, and a track record of leading teams of 5-8 engineers. As we scale our capabilities in AI, ML, CV, LLM applications, and agentic AI systems, you will play a key role in enhancing our delivery processes, optimizing engineering performance, and ensuring technical excellence while leading high-performing teams.</p><p><b>What You'll Do:</b></p><ul><li>Design and develop Agentic AI applications using LLM frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel, or similar)</li><li>Architect and implement multi-agent systems for enterprise-grade solutions</li><li>Integrate AI agents with APIs, databases, internal tools, and external SaaS products</li><li>Lead and mentor a cross-functional team across global time zones</li><li>Optimize performance, context retention, tool usage, and cost efficiency</li><li>Build reusable pipelines and modules to support GenAI use cases at scale</li><li>Ensure enterprise-grade security, privacy, and compliance standards in deployments</li><li>Collaborate directly with clients and senior stakeholders</li></ul><p>Required Skills</p><ul><li>7+ years of professional experience in software engineering and AI/ML</li><li>2-3 years of practical experience in LLM-based application development</li><li>Strong track record of delivering Agentic AI systems (not just chatbots)</li><li>Hands-on experience with:</li><li>LangGraph, LangChain, ReAct, Semantic Kernel</li><li>OpenAI, Claude, Gemini, Mistral, or Llama models</li><li>Worked with any one voice agents such as Elevenlabs, Vapi, LiveKit</li><li>Embedding models, vector databases (Qdrant, Pinecone, Weaviate, etc.)</li><li>Prompt engineering, RAG, memory/context engineering</li><li>Serverless, Python, Node.js, AWS/GCP/Azure cloud</li><li>Experience leading engineering teams of 5-8 people and working with clients</li><li>Excellent communication, documentation, and stakeholder management skills</li></ul><p><b>Core Competencies:</b></p><ul><li>AI-Enhanced Problem-Solving: Combining human logic with AI assistance for complex challenges</li><li>Attention to Detail: High code quality and precision in AI-assisted implementation</li><li>AI Workflow Integration: Efficiently incorporating AI tools into the development process</li><li>Communication: Clear technical communication and collaboration skills</li><li>Learning Agility: Quick adaptation to new AI tools and development methodologies</li><li>Time Management: Leveraging AI to manage multiple projects efficiently</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with AI-powered development workflows</li><li>Knowledge of prompt engineering for coding assistance</li><li>Prompt engineering and AI model interaction</li><li>LangChain framework familiarity</li><li>Agentic AI and autonomous system concepts</li><li>FastAPI advanced features (async, dependency injection, middleware)</li><li>Bachelors degree in computer science or equivalent experience</li></ul><p><b>What We Offer</b></p><ul><li>AI Tools Allowance: Company-provided subscriptions to premium AI coding tools</li><li>Performance Bonuses: performance-based incentives</li><li>Professional Growth: Learning sessions for AI and development</li><li>Compensation: Competitive Salary packages along with additional perks</li><li>Diverse and Innovative Projects: Opportunity to contribute to a variety of forward-thinking projects across industries.</li></ul><p><b>Experience: 5-7 yrs of experience</b></p><p><b>Work Mode: Full Time onsite</b></p><p><b>Work Days: Mon to Fri</b></p><p><b>Work Timings: 12 PM - 9 PM</b></p><p><b>Location: Gulshan-e-Iqbal, Karachi.</b></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior AI/ML Engineer

Honeywell

<div><p>As an <b>Advanced AI Engineer </b>, you will design, develop, and deploy cutting-edge AI solutions with a strong focus on <b>Generative AI (GenAI) </b>and <b>Agentic AI systems </b>. You will build intelligent, autonomous AI agents using modern orchestration frameworks such as <b>LangChain, LangGraph, and Databricks Mosaic AI Agent Framework </b>, delivering scalable, secure, and production-ready AI systems tightly integrated with enterprise workflows.
</p><p>You will collaborate closely with cross-functional teams to identify high-impact AI use cases, architect end-to-end solutions, and operationalize AI at scale using cloud platforms and MLOps best practices.</p></div>
<br><div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Design, develop, and optimize <b>Generative AI and Agentic AI solutions </b>for real-world, enterprise-grade applications.
</li><li>Build and orchestrate <b>AI-powered agents and multi-agent systems </b>using frameworks such as <b>LangChain, LangGraph, and Databricks Mosaic AI Agent Framework </b>.
</li><li>Architect and implement <b>end-to-end AI pipelines </b>, including data ingestion, feature engineering, model training, evaluation, and inference.
</li><li>Collaborate with product, data, platform, and business stakeholders to identify AI use cases and translate requirements into scalable AI solutions.
</li><li>Deploy and manage AI models and agents on <b>cloud platforms (Azure, AWS, or GCP) </b>using <b>containerization (Docker/Kubernetes) </b>and modern MLOps practices.
</li><li>Implement <b>model monitoring, observability, and performance tracking </b>to ensure accuracy, reliability, and responsible AI usage in production.
</li><li>Leverage <b>MLflow </b>for experiment tracking, model versioning, and lifecycle management.
</li><li>Utilize <b>Databricks AI/ML Platform </b>, including <b>Unity Catalog </b>, for governed data access, feature management, and secure AI deployments.
</li><li>Ensure AI systems meet <b>enterprise standards </b>for scalability, security, compliance, and maintainability.
</li><li>Stay current with emerging AI technologies, frameworks, and research, driving innovation and continuous improvement across AI solutions.</li></ul></div>
<br><div><p>YOU MUST HAVE
</p><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Artificial Intelligence, Data Science, or a related field </b>.
</li><li><b>6+ years of hands-on experience </b>in AI/ML development, deployment, and productionization.
</li><li>Strong proficiency in <b>Python </b>and ML frameworks such as <b>PyTorch, TensorFlow, and Scikit-learn </b>.
</li><li>Proven hands-on experience building <b>LLM-based applications and AI agents </b>using <b>LangChain, LangGraph </b>, or similar frameworks.
</li><li>Experience deploying AI solutions on <b>Azure, AWS, or GCP </b>, with a solid understanding of cloud-native architectures.
</li><li>Strong foundation in <b>data structures, algorithms, and software engineering best practices </b>.
</li><li>Experience implementing <b>MLOps pipelines </b>, including CI/CD, model versioning, and monitoring.<br>
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Skills &amp; Experience
</b></h2><ul><li>Strong knowledge of <b>Generative AI models </b>, including <b>Large Language Models (LLMs) </b>and diffusion-based models.
</li><li>Expertise in <b>prompt engineering </b>, retrieval-augmented generation (RAG), and tool-augmented LLM workflows.
</li><li>Experience designing <b>Agentic AI architectures </b>, autonomous workflows, and <b>multi-agent systems </b>.
</li><li>Hands-on experience with <b>Databricks Mosaic AI </b>, <b>MLflow </b>, and <b>Unity Catalog </b>for governed AI development.
</li><li>Familiarity with <b>CI/CD pipelines </b>for AI/ML solutions and infrastructure-as-code practices.
</li><li>Strong problem-solving skills with the ability to design scalable and maintainable AI systems.
</li><li>Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.</li></ul></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Advanced AI Engr

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior AI/ML Engineer - R01560293</b></h1>
<p></p><div><b>Senior AI/ML Engineer</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting &amp; Scaling Agentic AI Solutions &bull; Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. &bull; Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. &bull; Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development &amp; Optimization &bull; Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. &bull; Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. &bull; Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation &amp; Research &bull; Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. &bull; Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. &bull; Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy &amp; Business Impact &bull; Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. &bull; Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship &amp; Capability Building &bull; Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. &bull; Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.</li></ul></div><p></p>

Senior AI/ML Engineer – R01560293

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>0-1 year</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3><br>
<div></div><div><br>
<div><p><b>FiveRivers Technologies</b> is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.</p><h4 class="jobSectionHeader"><b><br>
Responsibilities</b></h4><ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows.<br>
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research.<br>
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs.<br>
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field.<br>
</li><li>
Good Python programming, problem solving and algorithm design skills.<br>
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning.<br>
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.<br>
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems.<br>
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs.<br>
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization.<br>
</li><li>
Staying up to date with the latest AI research, advancements and tools.<br>
</li></ul><div><b>
Office Location:</b> Business Hub, DHA phase VIII, Lahore.</div></div></div></div><p></p>

Associate AI/ML Engineer_01

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