Senior AI Engineer at INTECH Process Automation

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Large Language Models, Embeddings, Vector Search, RAG Pipelines, Agentic Workflows, Prompt Engineering, Model Distillation, LLM Orchestration, LangChain, LlamaIndex, Distributed Systems, Microservices, Cloud-Native Implementations, MLOps, Generative AI

Industry

Automation Machinery Manufacturing

Description

About the job Join our Team - Your career journey starts here – not just a job, but a future. Our Potential Opportunity INTECH Process Automation Inc. is seeking Senior AI Engineer to join our growing Industrial Intelligence Solutions (IIS) division. This role is central to building next-generation IIoT, data, and industrial AI applications that support industries such as Oil & Gas, Manufacturing, Chemicals, Food & Beverages, and Metals & Mining. At INTECH, you will work on impactful projects, developing intelligent software solutions that utilize real-time operational data, advanced analytics, and cutting-edge Generative AI to solve complex industrial challenges. These AI-powered tools are crafted to enhance productivity, improve decision-making processes, and foster an environment of efficiency and innovation in the workplace. What You’ll Lead and Deliver Define the end-to-end AI roadmap and steer long-term technical decisions. Drive model architecture, experimentation, and evaluation strategies based on current research trends. Guide the transition from research prototypes to production-hardened enterprise AI systems. Introduce methodologies to ensure reliability, trustworthiness, and explainability in AI systems. Architect and optimize LLM-based solutions, including RAG pipelines, agentic workflows, and custom tooling. Evaluate, fine-tune, and integrate state-of-the-art models (open-source and proprietary). Lead advanced experimentation: model distillation, hybrid search strategies, prompt optimization, hallucination detection, etc. Build frameworks for automatic evaluation, versioning, and safe deployment of large-scale AI systems. Address and solve typical enterprise GenAI challenges such as: Data security, governance, and privacy controls,Hallucination reduction and factual grounding,Latency optimization and inference throughput,High-availability and scalable serving architectures,Multi-model routing, caching, and cost efficiency,Observability, monitoring, and auditability of LLM workflows Collaborate with DevOps and platform engineering to achieve production-grade reliability, logging, and SLA-backed performance. Work closely with product teams to shape features and AI-driven value propositions. Assess enterprise workflows and identify AI-led automation or augmentation opportunities. Communicate complex AI concepts to stakeholders in clear, business-oriented language. Mentor engineers and establish internal AI engineering standards and best practices. Requirements To Be Successful in This Role, You Must Have: PhD in Computer Science, Machine Learning, NLP, AI, Data Science, or a closely related field is preferred for the role. Demonstrated applied research background with publications, patents, or real-world AI deployments. 5 – 8 years of experience in AI/ML engineering or related fields. Expert-level Python skills and proficiency in modern ML/AI frameworks. Deep understanding of: Large language models, embeddings, vector search , Deep understanding of: AG architectures and LLM orchestration frameworks (LangChain, LlamaIndex, custom stacks) Deep understanding of: Prompt engineering and evaluation methodologies Deep understanding of: Distributed systems, microservices, and cloud-native implementations Production experience deploying AI systems in enterprise or regulated environments. Nice-to-Have Experience with GPU/accelerator-based model serving. Experience with MLOps tooling (MLFlow, Vertex AI, AWS Sagemaker, etc.). Contributions to open-source GenAI libraries, research toolkits, or LLM frameworks. Prior work in enterprise or Fortune 500 environments. Strong understanding of knowledge graphs, structured data pipelines, and hybrid search systems. We Offer Competitive Benefits: Global Exposure: Opportunities to work on international projects and collaborate with global teams. Competitive Compensation in USD : A salary package that recognizes your expertise and contributions. Annual Bonus in USD: Performance-driven rewards based on your gross pay to celebrate your achievements and contributions. In-House Lunch: Delicious meals provided during work hours to keep you fueled and focused. Health Insurance: OPD coverage for you and your parents, plus IPD coverage for you and your dependents. Learning Opportunities: Access to training programs, workshops, and certifications to enhance your skills. Work-Life Balance: Paid time off, including annual leave and holidays. Inclusive Environment: A workplace that celebrates diversity and fosters collaboration. Why Join INTECH Automation Intelligence? At INTECH, you will have the opportunity to work with a globally renowned industrial automation and digitalization technology company. For nearly 30 years, INTECH has partnered with major oil and gas global giants to deliver innovative solutions. As we continue to lead in the Industry 4.0 era, you will be at the forefront of transformative technologies that solve real-world challenges. What to Expect After Applying? Explore how INTECH’s Talent Acquisition team ensures a seamless hiring journey. From embracing talent with a passion for innovation to fostering a culture of continuous learning and growth, we’re dedicated to finding and supporting the best minds in the industry. Click Here to learn more about our hiring process and discover your path to success with us. Our hiring process is designed to assess your skills and potential in a fair and inclusive manner. After applying, you will be guided through a structured evaluation process to ensure mutual alignment. INTECH Automation Intelligence is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

The Senior AI Engineer will define the end-to-end AI roadmap, steer technical decisions, and drive model architecture and experimentation strategies based on current research trends. This role involves guiding the transition of research prototypes into production-hardened enterprise AI systems, including architecting and optimizing LLM-based solutions like RAG pipelines and agentic workflows.