This role is for one of the Weekday's clients
Salary range: Rs - Rs (ie INR * LPA)
Min Experience: 6 years
Location: Bengaluru
JobType: full time
Key Responsibilities:
Architect and design
scalable Generative AI solutions
with robust integrations, leveraging
Temporal
for workflow orchestration.
Build and optimize
retrieval-augmented generation (RAG) pipelines
using
pgvector
for similarity search and
Apache AGE
for graph-based reasoning.
Collaborate closely with
data scientists, ML engineers, and product teams
to deliver AI-powered business solutions.
Establish patterns, best practices, and reusable frameworks for GenAI applications to ensure
scalability, performance, and reliability
.
Continuously evaluate emerging GenAI models, orchestration strategies, and AI services to accelerate enterprise adoption.
Ensure
data privacy, security, and compliance




across AI workflows, deployments, and integrations.
Required Skills:
6–12 years of experience with a solid balance of
business and technical acumen
.
Expertise in
Generative AI architecture
and applied machine learning workflows.
Solid proficiency with
Temporal
for orchestrating complex, distributed workflows.
Hands-on experience with
vector databases and embeddings
, particularly
pgvector
.
Experience with
graph databases
, ideally
Apache AGE
, for knowledge graphs and reasoning.
Strong
Python programming
and software engineering skills.
Understanding of
LLM fine-tuning, RAG, prompt engineering
, and scalable model deployment strategies.

📌 Genai Lead Bengaluru
🏢 Weekday AI
📍 Bengaluru