Senior AI Engineer

INTECH Process Automation

15h

About The Position

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.

Requirements

• 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: P rompt 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 Haves

• 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.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree