Senior AI Engineer
7 days ago
About Us:
is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM Ahmedabad alumni in 2014, We've raised $366M from prominent investors like General Atlantic, Tiger Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for community management, NoBroker HomeServices for property management, and a range of services like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more.
ConvoZen.AI:
We are also proud to offer ConvoZen.AI, our state-of-the-art conversational AI tool. ConvoZen.AI leverages advanced NLP and large language model (LLM) technologies to provide organizations with actionable insights from customer conversations. This innovative solution is revolutionizing how businesses interact with their customers, making it a focal point of our data science endeavors.
About the Role:
As a
Senior AI Engineer
at
ConvoZen.AI
, you'll work at the intersection of
Generative AI
,
LLMs
, and real-time systems. Your core focus will be building and scaling
LLM-driven applications
such as smart assistants, summarization engines, workflow automation tools, and intelligent dashboards.
This includes
developing streaming services
,
integrating websockets
for real-time communication, and
optimizing multi-threaded systems
for performance at scale. You'll collaborate with product, data science, and engineering teams to deploy impactful AI solutions that drive business value.
Key Responsibilities:
- Design, build, and deploy
Inhouse/LLM-powered features
(e.g., summarizers, chatbots, RAG pipelines, auto-taggers).
- Implement
streaming pipelines and services
to serve real-time AI responses across multiple interfaces.
- Integrate
WebSocket-based communication layers
for interactive, low-latency GenAI products.
- Handle
multi-threaded architecture
for concurrent processing and efficient resource management.
- Fine-tune and optimize
open-source LLMs
(e.g., LLaMA, Mistral, Falcon) using LoRA, PEFT, and custom datasets.
- Work with
prompt engineering
,
embeddings
, and
vector databases
(Pinecone, Weaviate, FAISS).
- Evaluate and improve model
accuracy, latency, cost-efficiency
, and
scalability
in production systems.
- Collaborate with cross-functional teams to embed GenAI capabilities across customer-facing workflows.
- Stay current with advances in
transformer architectures
, GenAI tools, and open-source research.
Required Skills & Experience:
- 3+ years in
software/ML development
, with 2+ years in
LLMs/GenAI/NLP
.
- Solid expertise in
transformers, embeddings, tokenization, and fine-tuning
techniques.
- Strong hands-on experience with
Python
,
PyTorch
,
TensorFlow
, or
JAX
.
- Familiarity with
LangChain
,
HuggingFace
,
OpenAI/Anthropic APIs
, etc.
- Proven experience with
streaming data systems
,
WebSockets
, and
multi-threaded applications
.
- Comfortable working with
RAG architecture
, vector DBs, and LLM orchestration pipelines.
Why Join Us?
- Be part of a fast-growing AI team building real-world GenAI solutions.
- Work alongside top talent in product, engineering, and AI research.
- Competitive salary, flexible work environment & high ownership roles.
-
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