Uniphore is one of the largest B2B AI-native
companies—decades-proven,
built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
Job Overview
As a
Senior Software Engineer
at
Uniphore
,
you’ll
help build and evolve the
data platform
and AI capabilities at the heart of our product offerings.
You’ll
work closely with engineers, product managers, and AI/ML teams to deliver
scalable, reliable, high-performance
systems in the cloud—especially for
unstructured data
,
RAG
, and
agentic AI workflows
.
Key Responsibilities
Build and enhance a
scalable data engineering platform
across cloud providers (AWS/GCP/Azure).
Design and implement distributed data applications using
Spark
,
Databricks
, and/or
Snowflake
.
Develop and ship
AI-driven applications
, including
RAG pipelines
and agentic workflows (tool orchestration, multi-step execution).
Implement robust processing for
unstructured data
(documents, PDFs, transcripts, chat logs), including extraction, enrichment, and indexing for downstream analytics/AI.
Write clean, maintainable, and efficient code aligned with engineering best practices.
Participate in the full SDLC: requirements, design, development, testing, and release.
Troubleshoot, debug, and
optimize
existing services for
performance, reliability, and scalability
.
Collaborate with cross-functional teams (AI/ML, product, UX) to translate business needs into technical solutions.
Ensure adherence to
security and data privacy
standards when working with sensitive customer data.
Contribute to and improve
CI/CD pipelines
, deployment automation, and code quality processes.
Required Skills and Experience
Bachelor’s/
Master’s degree in
Computer Science
, IT
, or equivalent practical experience.
3–5 years
of professional software development experience.
Strong
proficiency
in
Java
and
Python
, with experience building
APIs/services
.
Experience with frameworks such as
Spring Boot
or
Vert.x
.
Working knowledge of databases such as
Postgres
,
MongoDB
, or
MySQL
.
Experience with one or more cloud platforms:
AWS
,
GCP
, or
Azure
.
Strong problem-solving and debugging skills; ability to work independently and drive deliverables.
Familiarity with software engineering best practices:
version control, code reviews, testing/TDD
.
Strong written and verbal communication skills; comfortable in a fast-paced environment.
Preferred Skills
Hands-on experience with
Spark
or managed Spark (e.g.,
Dataproc
,
Databricks
).
Familiarity with orchestration tools such as
Airflow
.
Experience with cloud data warehouses like
Snowflake
or
BigQuery
.
Experience building/operating
RAG systems
(chunking, embeddings, vector search, evaluation, guardrails).
Familiarity with
agentic/agent frameworks
for tool use, orchestration, and multi-step workflows.
Experience with
unstructured data processing
pipelines and search/indexing patterns.
Familiarity with
containers and Kubernetes
.
Exposure to DevOps tools like
Jenkins
and CI/CD workflows.
Basic
Linux
fluency.
Familiarity with
JavaScript/TypeScript
.
Prior exposure to AI/ML implementation projects.
Location preference:
India - Bangalore
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
