About Senzcraft :
Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.
We have a suite of SaaS products and services, partnering with automation product companies.
Please visit our website -
for more details
Our AI Operations SaaS platform –
Senzcraft on linkedin ->
Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.
About the Role (Senior GenAI Engineer)
We are seeking a
Senior GenAI Engineer
with
5+ years of experience
and with strong expertise in
Agentic AI development
using
LangChain
and
LangGraph
, along with solid foundations in traditional
Machine Learning
and
Deep Learning
The ideal candidate will own and lead team to design, develop, and deploy
AI-driven applications
leveraging
LLMs, Vector Databases, and GenAI frameworks
to solve complex real-world problems.
Key Responsibilities
Design and implement
Agentic AI workflows
using
LangChain
and
LangGraph
for intelligent automation and reasoning-based solutions.
Develop scalable
GenAI-powered APIs
and microservices using
Python
and
FastAPI
Design and implement RAG-based solutions for client.
Collaborate with cross-functional teams to deliver
production-grade GenAI solutions
with high performance and reliability.
Apply
AI Ops
practices (LangFuse, Docker, Jenkins, Groovy) for deployment, monitoring, and CI / CD.
Build and optimize
Machine Learning / Deep Learning models
, understanding on hyperparameter tuning / performance evaluation.
Stay current with
emerging AI trends
, frameworks, and best practices in
Agentic and Generative AI
systems.
Required Skills & Experience
5–8 years
of professional experience in
AI / ML or GenAI development
Hands-on experience with
LangChain
and
LangGraph
for
Agentic solution design
Experience working with
Vector Databases
(FAISS, Pinecone, Weaviate, or MongoDB).
Familiarity with
LLMs
(OpenAI, Azure OpenAI, Anthropic Claude, Meta Llama, etc.).
Deep understanding of
Machine Learning algorithms
– regression, decision trees, SVM, random forests, deep learning, and reinforcement learning.
Strong proficiency in
Python
and
FastAPI
Expertise with frameworks such as
TensorFlow
PyTorch
scikit-learn
, and
Keras
Strong foundation in
mathematics and statistics
(linear algebra, calculus, probability, and statistics).
Experience in
SQL
, data preprocessing, and
feature engineering
Good to Have
Working knowledge of
AI Ops tools
LangFuse
Jenkins
Docker
Groovy
FitNesse
, and
CI / CD pipelines
Experience in
LLM fine-tuning
Exposure to
eRAG
(Azure-based RAG solution).
Familiarity with
prompt engineering
and
LLM observability tools
Understanding on NFRs, solution architecture and deployment models
Experience : 5+ years
Location : Bangalore
Work Mode : Hybrid
Notice Period :
Immediate joiners preferred, up to 15 days’ notice accepted
Genai Engineer • Bengaluru, Karnataka, India