AI Engineer
First seen by Alion on Sep 8, 2026.
Role : Ai Engineer
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.
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
Skills
Artificial Intelligence, LLM, Machine Learning, Agentic AI, LangChain, Python, Cloud