AI Engineer - Machine Learning Models

VAYUZ Technologies; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Anacity, part of Anarock Group, seeks a seasoned AI Engineer to design, deploy, and scale AI systems at production level from Bengaluru. You will work at the intersection of LLMs, ML pipelines, and software engineering, delivering features powered by advanced AI models.

You will fine-tune LLMs, implement RAG architectures, and integrate multiple APIs while collaborating with architects and product teams. 5+ days onsite work in Bengaluru.

Qualifications

• We expect strong Python and ML library experience for production AI features.
• Experience with LLM APIs, prompt strategies, and evaluation workflows.
• Hands-on with RAG systems, embeddings, and vector stores.
• Familiarity with agentic frameworks and multi-modal models is a plus.

Responsibilities

• Design, develop, and deploy AI/ML models and pipelines in production environments.
• Implement RAG architectures and agentic AI workflows.
• Fine-tune LLMs for domain tasks using LoRA/QLoRA/PEFT.
• Build prompt engineering frameworks and evaluation pipelines.
• Integrate LLM APIs and open-source models into product features.
• Develop vector search and embedding pipelines; collaborate with teams.
• Monitor model performance, run A/B tests, iterate on metrics.
• Establish guardrails and safety layers; contribute to MLOps practices.

Skills

Python & ML libraries

LLM APIs & prompt engineering

RAG systems & embeddings

LangChain

LlamaIndex

AutoGen

CrewAI

Semantic Kernel

LoRA & QLoRA fine-tuning

PEFT & instruction tuning

Cloud deployment: SageMaker

GCP Vertex AI

Azure ML

Data preprocessing & feature eng

MLOps: MLflow

MLOps: DVC

Weights & Biases

BentoML

Docker

Kubernetes

Jupyter

FastAPI

Streamlit

Tools

AWS SageMaker

GCP Vertex AI

Azure ML

Job description

About Anacity (Part Of Anarock Group)

A mobile-first SaaS platform, ANACITY leads the digital transformation of residential and commercial real estate in the Middle East and globally. An unmatched provider of highly-awarded enterprise technology, it unifies, powers and engages residential experience across the post-sales and post-possession lifecycle in gated communities and workplace experience in offices.

Through an integrated suite of cutting-edge digital tools, it elevates community management, empowering transparency and data-driven insights that lead to better decision-making and enhanced engagement. With a legacy of more than 14 years, ANACITY is now present in more than 125 cities globally, digitally transforming 7,00,000+ households in over 6,800 communities.

The ANACITY platform has been developed with data insights from over 17,000 community management interactions across the globe.

ANACITY is an independently managed tech company and part of the ANAROCK group, Indias leading independent real estate services company with a presence across India and the Middle East.

Role

Ai Engineer

Designation

AI Engineer

Location

HSR Layout, Bengaluru

Experience

7+ Years

Interview rounds

3 (Final round in office at HSR Layout, Bengaluru)

Duration

Full-Time

Work Type

5 Days Work from Office

Job Description

We are seeking a seasoned AI Engineer to build, fine-tune, and deploy intelligent AI systems at scale. You will work at the intersection of LLMs, machine learning, and software engineering developing production-ready AI features and pipelines that power our core product.

Key Responsibilities

• Design, develop, and deploy AI/ML models and pipelines in production environments


• Implement Retrieval-Augmented Generation (RAG) architectures and agentic AI workflows


• Fine-tune and optimize LLMs for domain-specific use cases using RLHF, LoRA, QLoRA


• Build robust prompt engineering frameworks and evaluation pipelines


• Integrate LLM APIs (OpenAI, Claude, Gemini) and open-source models into product features


• Develop and maintain vector search infrastructure and embedding pipelines


• Collaborate with architects, backend engineers, and product teams on AI feature delivery


• Monitor model performance, conduct A/B testing, and iterate based on metrics


• Implement guardrails, safety layers, and hallucination-mitigation strategies


• Contribute to MLOps practices : model versioning, deployment pipelines, monitoring

Key Skills & Requirements

• Strong expertise in Python, with deep knowledge of AI/ML libraries (PyTorch, TensorFlow, HuggingFace Transformers)


• Hands-on experience with LLM APIs and prompt engineering techniques (CoT, few-shot, ReAct)


• Experience with RAG systems, embedding models (text-embedding-3, BGE, Cohere), and vector stores


• Knowledge of agentic frameworks : LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel


• Familiarity with fine-tuning techniques : LoRA, QLoRA, PEFT, instruction tuning


• Experience deploying models on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)


• Understanding of data preprocessing, feature engineering, and model evaluation metrics


• Proficiency with MLOps tools : MLflow, DVC, Weights & Biases, BentoML


• Experience with containerization and orchestration : Docker, Kubernetes


• Strong debugging and experimentation skills with Jupyter, FastAPI, Streamlit

Nice To Have

• Experience with multi-modal models (vision-language models, Whisper, DALL-E)


• Published papers or Kaggle/competition achievements


• Exposure to speech AI, computer vision, or NLP specializations


• Knowledge of responsible AI, fairness metrics, and bias mitigation

(ref:hirist.tech)