Senior AI Engineer/GenAI Product Lead

INTECH Process Automation

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.
Demonstrated applied research background with publications, patents, or real-world AI deployments.
5 – 10 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.

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