A(
Full time
🤖 AI / ML
AI Engineer - Machine Learning Models at ANACITY (VAYUZ Technologies)
Listed by DevShelfHub
HSR Layout, Bengaluru, India (5 Days WFO)
WFO
Senior · 7–11 yrs
About the Role
PropTech and community management platforms are embedding LLMs and agentic AI at scale. ANACITY (part of ANAROCK Group), via VAYUZ Technologies, is hiring an AI Engineer in Bengaluru to build, fine-tune, and deploy intelligent AI systems for its mobile-first SaaS platform.
What you'll do
- 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 using RLHF, LoRA, QLoRA
- Build robust prompt engineering frameworks and evaluation pipelines
- Integrate LLM APIs 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
What we're looking for
- 7+ years of experience
- Strong expertise in Python with PyTorch, TensorFlow, HuggingFace Transformers
- Hands-on experience with LLM APIs and prompt engineering (CoT, few-shot, ReAct)
- Experience with RAG systems, embedding models, and vector stores
Skills & Technologies
Required
7+ years of experience
Strong expertise in Python with PyTorch, TensorFlow, HuggingFace Transformers
Hands-on experience with LLM APIs and prompt engineering (CoT, few-shot, ReAct)
Experience with RAG systems, embedding models, and vector stores
Knowledge of agentic frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel
Familiarity with fine-tuning: LoRA, QLoRA, PEFT, instruction tuning
Experience deploying models on AWS SageMaker, GCP Vertex AI, or Azure ML
Proficiency with MLOps tools: MLflow, DVC, Weights & Biases, BentoML
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on work at the intersection of LLMs, machine learning, and software engineering for production-ready AI features powering a global PropTech platform.
- Design, develop, and deploy AI/ML models and pipelines in production
- Implement RAG architectures and agentic AI workflows
- Fine-tune LLMs using RLHF, LoRA, QLoRA for domain-specific use cases
- Build prompt engineering frameworks and evaluation pipelines
- Integrate LLM APIs (OpenAI, Claude, Gemini) and open-source models
- Develop vector search infrastructure and embedding pipelines
- Implement guardrails, safety layers, and hallucination-mitigation strategies
- Contribute to MLOps: model versioning, deployment pipelines, monitoring
- Collaborate with architects, backend engineers, and product teams
- 5 days work from office at HSR Layout, Bengaluru
- Exposure to multi-modal models, speech AI, and responsible AI practices
About ANACITY (VAYUZ Technologies)
ANACITY is a mobile-first SaaS platform leading digital transformation of residential and commercial real estate in the Middle East and globally. Part of the ANAROCK group, ANACITY is present in 125+ cities, digitally transforming 700,000+ households across 6,800 communities with data insights from 17,000+ community management interactions.
- Industry
- Technology
- Company Size
- 500+
- Website
- anacityvayuztechnologies.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 7–11 years
- Location
- HSR Layout, Bengaluru, India (5 Days WFO)
- Work Mode
- WFO
- Category
- AI / ML
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