Senior Agentic AI Engineer

amIT Global Solutions Sdn Bhd; India; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

amIT Global Solutions Sdn Bhd is seeking a Senior Agentic AI Engineer to architect next-gen AI-driven products, from prototyping to production. This customer-facing role blends solution architecture, hands-on engineering, and direct client conversations.

You will design multi-agent workflows, build scalable AI agents, and own cloud-native ML/GenAI pipelines, ensuring responsible AI practices and robust enterprise integration.

Qualifications

• 6+ years in ML, incl. 2+ years with Generative AI.
• Strong experience with LLMs, prompt engineering, and agentic systems.
• Real-world experience with LangChain or LangGraph.
• Strong Python skills for API wrappers and integrations.
• Foundations in Transformers, CNNs, RNNs; hands-on TensorFlow, PyTorch, Scikit-learn.
• Experience with NLP, embedding models, vector databases.
• Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other models.
• Experience designing distributed, cloud-native architectures (microservices, REST APIs).
• Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes.
• MLOps/LLMOps—training, deployment, monitoring, lifecycle management.
• Excellent communication to translate technical depth for non-technical stakeholders.
• Comfort with startup pace and strong ownership mentality.

Responsibilities

• Architect scalable Generative AI and agentic AI apps end-to-end.
• Design LLM-powered workflows and prompt strategies for multi-agent systems.
• Build intelligent AI agents using LangChain and LangGraph for various use cases.
• Select, customize, fine-tune, and optimize state-of-the-art LLMs.
• Design and own ML/GenAI pipelines—training, deployment, monitoring.
• Build APIs, microservices, and integration frameworks to bring AI into products.
• Champion responsible AI practices—mitigating hallucinations and bias.
• Partner with customers, product, and engineering to translate business needs into robust AI architecture.
• Mentor engineers and shape long-term AI platform strategy.

Skills

Agentic AI

Generative AI

Artificial Intelligence

Python

LangChain

LangGraph

LLMs

Transformers

TensorFlow

PyTorch

NLP

Vector databases

OpenAI

Llama

Azure OpenAI

AWS

Azure

GCP

Docker

Kubernetes

MLOps

LLMOps

Communication

Education

Bachelor's/Master's in CS/DS/Engineering/Math/Stats

Tools

LangChain

LangGraph

Job description

This role is for one of our clients

We're looking for aSenior Agentic AI Engineerto help architect our next-generation AI-driven products — from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations.

Requirements

Key Responsibilities:

• Architect and build scalable Generative AI and agentic AI applications, end to end
• Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
• Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines
• Select, customize, fine-tune, and optimize state-of-the-art LLMs
• Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management
• Build APIs, microservices, and integration frameworks to bring AI into enterprise products
• Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks
• Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
• Mentor engineers and help shape our long-term AI platform strategy

Required Qualifications:

• 6+ years in traditional ML, including 2+ years hands-on with Generative AI
• Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
• Real-world experience with LangChain/LangGraph or similar agentic frameworks
• Strong Python skills — API wrappers, third-party integrations, internal tooling
• Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn
• Experience with NLP, embedding models, and vector databases
• Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models
• Experience designing distributed, cloud-native architectures (microservices, REST APIs)
• Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
• MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management
• Excellent communication skills — you can translate technical depth for non-technical stakeholders
• Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
• Comfort with startup pace and strong ownership mentality

Preferred Qualifications:

• LLM fine-tuning experience (LoRA, RLHF, PEFT)
• Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
• AI observability/monitoring tool experience
• Familiarity with AI governance and compliance (GDPR, SOC 2)
• Prior consulting or solution-architecture experience shipping enterprise AI products
• Background in financial services, healthcare, or insurance

Must-have skills

• Agentic AI
• Generative AI
• Artificial Intelligence

Good-to-have skills

• Machine Learning
• LangChain
• LangGraph