AI Engineer – LLMs, AI Agents & ML Solutions

HG Infotech Pte Ltd; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

HG Infotech Pte Ltd seeks an AI Engineer specializing in LLMs, autonomous AI agents, and RAG architectures. You will design and deploy enterprise-grade AI agents, workflow automation tools, and predictive ML systems for clients across Singapore, Malaysia, India, and ASEAN.

You will build and optimize end-to-end AI solutions, deploy APIs, and ensure governance and security for production systems. A strong background in Python, ML frameworks, and MLOps is essential.

Qualifications

• 3–7 years of hands-on AI/ML/NLP/DL engineering experience.
• Proficient with Python and major ML frameworks (PyTorch/TensorFlow) and Hugging Face.
• Experience building Autonomous AI Agents and function-calling architectures.
• Experience with vector databases and embedding techniques.
• Production experience deploying models on Azure OpenAI, AWS SageMaker, or vLLM.
• Strong MLOps, model evaluation, monitoring (MLflow, Weights & Biases), and CI/CD.

Responsibilities

• Design, train, and deploy custom LLMs and autonomous AI agent workflows.
• Develop enterprise RAG pipelines with vector databases.
• Build end-to-end ML models for predictive NLP and automation.
• Create production RESTful & gRPC APIs around AI models using Python & FastAPI.
• Optimize latency, quantization, and token efficiency for cloud deployments.
• Ensure governance, prompt security, and guardrails for enterprise use.
• Collaborate with architects and clients to translate workflows into scalable AI systems.

Skills

AI/ML engineering

Python

PyTorch / TensorFlow

Hugging Face Transformers

LangChain / LlamaIndex / CrewAI

Autonomous AI Agents

Vector Databases

Education

Bachelor’s or Master’s in CS/DS/AI

Tools

Azure OpenAI

AWS SageMaker

vLLM

Pinecone

Qdrant

Milvus

pgvector

MLflow

Weights & Biases

LangChain

LlamaIndex

CrewAI / AutoGen

Hugging Face Transformers

Job description

AI Engineer – LLMs, AI Agents & ML Solutions

HG Infotech is looking for an AI Engineer specializing in Large Language Models (LLMs), Autonomous AI Agents, RAG (Retrieval-Augmented Generation) architectures, and Machine Learning workflows. In this role, you will design and deploy enterprise-grade AI agents, intelligent workflow automation tools, and predictive ML systems for our global enterprise clients across Singapore, Malaysia, India, and ASEAN.

Key Responsibilities

• Architect, train, fine-tune, and deploy custom LLMs and autonomous AI Agent workflows using LangChain, LlamaIndex, AutoGen, or CrewAI.
• Implement enterprise RAG (Retrieval-Augmented Generation) pipelines integrated with Vector Databases (Pinecone, Qdrant, ChromaDB, pgvector).
• Design and build end-to-end Machine Learning models for predictive analytics, natural language processing (NLP), and process automation.
• Develop production RESTful & gRPC APIs wrapping AI models using Python, FastAPI, PyTorch, and Hugging Face Transformers.
• Optimize AI model inference latency, quantization, and token efficiency for cloud deployments on Azure AI / AWS SageMaker.
• Ensure enterprise AI governance, prompt security, hallucination mitigation, guardrails (NeMo Guardrails), and compliance standards.
• Collaborate with enterprise solution architects and client leaders to translate business workflows into scalable AI agent systems.

Target Customers & Markets

Enterprise Manufacturing & Logistics

Retail & Consumer Goods

Global Capability Centers (GCCs)

Primary Markets: India, Singapore, Malaysia, and ASEAN

Preferred Skills & Qualifications

• 3–7 years of hands-on experience in AI, Machine Learning, NLP, and Deep Learning engineering.
• Deep expertise with Python, PyTorch / TensorFlow, Hugging Face Transformers, LangChain, and LlamaIndex.
• Hands-on experience building Autonomous AI Agents (CrewAI, AutoGen, LangGraph) and function-calling architectures.
• Solid experience with Vector Databases (Pinecone, Qdrant, Milvus, pgvector) and embedding techniques.
• Production experience deploying AI models on Azure OpenAI, AWS SageMaker, or vLLM containerized microservices.
• Strong foundation in MLOps, model evaluation, monitoring (MLflow, Weights & Biases), and CI/CD for AI systems.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related technical field.

Monthly Targets

• Maintain <200ms latency on RAG vector retrievers
• Achieve 95%+ precision on document extraction AI agents
• Zero unhandled prompt injection or guardrail safety breaches
• Deploy weekly model performance and drift reports

Quarterly Targets

• Deploy 2+ production-grade enterprise AI agent workflows
• Reduce LLM API token consumption costs by 25%+ through prompt optimization and semantic caching

Success Profile

• Innovator passionate about cutting-edge Generative AI, Multi-Agent Orchestration, and LLM frameworks
• Strong analytical thinker capable of designing robust software architectures around non-deterministic AI models
• Proactive communicator capable of explaining complex AI capabilities to executive stakeholders
• Continuous learner keeping pace with rapid advancements in AI models and MLOps tools

Why Join HG Infotech?

• Ground-floor opportunity to lead enterprise AI Agent implementations for global enterprise clients
• Direct access to cutting-edge LLMs, GPU infrastructure, and Microsoft Azure AI partnership resources
• Work directly with founders and senior technology architects across Singapore, Malaysia, and India
• High-growth role with competitive compensation, performance bonuses, and continuous AI research support