Generative AI, Large Language Models (LLMs), RAG systems, and BFSI domain applications
. The ideal candidate will be responsible for designing, developing, and deploying intelligent systems that leverage modern AI/ML and backend technologies to solve real-world business challenges.
Key Responsibilities
Design and develop scalable backend systems and AI pipelines using
Python
,
FastAPI
, and
containerized environments (Docker)
.
Implement
Retrieval-Augmented Generation (RAG)
architectures integrating
Vector Databases
and
LLMs
for enterprise applications.
Collaborate with cross-functional teams to design and optimize
data workflows
,
ML models
, and
system integrations
.
Build and expose
REST APIs
for AI-driven services and ensure robust API performance and security.
Apply
machine learning
,
data science
, and
algorithmic techniques
to solve domain-specific challenges.
Work closely with business and product teams in the
BFSI sector
to translate business requirements into scalable technical solutions.
Contribute to
system design discussions
,
deployment strategies
, and
architecture reviews
.
Ensure best practices in
code quality
,
CI/CD
, and
DevOps automation
.
Required Skills
Programming:
Expert-level proficiency in
Python
(minimum 5 years of hands-on experience).
Frameworks & APIs:
Strong experience with
FastAPI
,
REST APIs
, and
microservices architecture
.
AI/ML:
Solid understanding of
Generative AI
,
LLMs
,
vector databases
,
RAG pipelines
, and
machine learning algorithms
.
Databases:
Experience with both
SQL and NoSQL
databases.
Deployment:
Proficient with
Docker
, and familiarity with
cloud-based deployment
environments.
System Design:
Strong grasp of
scalable architecture design
and
distributed systems
.
Domain Knowledge:
Prior experience in
Banking, Financial Services, or Insurance (BFSI)
domain is mandatory.
Soft Skills
Excellent
communication and interpersonal skills
-- ability to clearly articulate complex problems and solutions.
Strong
problem-solving
and
analytical
mindset.
A good
listener
who can engage effectively with technical and non-technical stakeholders.
Collaborative team player with ownership mindset and attention to detail.
Preferred Qualifications (Good to Have)
Exposure to
FastMCP
,
LangChain
,
LlamaIndex
, or other GenAI orchestration frameworks.
Familiarity with
MLOps
and
model deployment pipelines
.
Knowledge of
security, compliance, and data governance
in BFSI applications.
Job Types: Full-time, Permanent
Pay: Up to ₹2,000,000.00 per year
Work Location: In person
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.