Experience
: 10+ Years
Role
: Senior GenAI Application Engineer
Key Skills:
Production GenAI Application Engineering
LangGraph, LangChain, RAG and Agentic Workflows
Python, Java, APIs and Enterprise Integration
Responsibilities:
We are looking for a
Senior GenAI Application Engineer
who operates effectively at the intersection of
software engineering, GenAI application development, enterprise integration and production delivery
.
This is not a pure research role. It is not a prompt engineering only role. The successful candidate will help design, build and improve
production grade GenAI applications
that are reliable, observable, maintainable and useful to real enterprise users.
The successful candidate will:
Build and improve GenAI applications using frameworks such as
LangGraph, LangChain or similar orchestration tools
.
Work with
open weight models
, hosted LLMs and model serving patterns.
Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
Bring a strong
can do attitude
, enthusiasm, curiosity and practical delivery mindset.
Finance or banking experience is
not required
. What matters more is hands on experience building real GenAI applications, strong engineering judgement and the ability to deliver in a complex enterprise environment.
What Matters Most
Strong hands on experience building
production grade GenAI applications
.
Practical experience with
LangGraph, LangChain, agentic workflows, RAG and tool calling
.
Understanding of open weight models and how to integrate them into real applications.
Ability to challenge weak designs and propose better ones.
Strong engineering discipline around reliability, testing, observability and maintainability.
Ability to work across application, data, platform, security and infrastructure teams.
Enthusiastic, energetic and willing to get into the details.
Pragmatic approach to delivery, not over engineering, not hype driven.
Requirements:
Below are the key skillsets required for the role:
10 or more years of software engineering experience
, preferably with recent hands on experience in GenAI application development.
Proven experience building
production grade GenAI applications
, not only prototypes, experiments or demos.
Strong hands on experience with
LangGraph, LangChain or similar orchestration frameworks
.
Practical understanding of
RAG, agentic workflows, tool calling, prompt orchestration and context management
.
Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
Experience with
open weight models
or strong interest backed by hands on experimentation.
Strong backend engineering skills using
Python, Java or similar languages
.
Good understanding of API design, distributed systems and production resilience patterns.
Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
Familiarity with containerised deployment environments such as
Kubernetes or OpenShift
.
Ability to write clean, maintainable and testable code.
Strong analytical, debugging and troubleshooting skills.
High ownership, high curiosity and genuine interest in building useful AI products.
Ability to work in a fast moving environment with incomplete information and evolving requirements.
Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.
Nice to Have
Experience with
DeepAgent
or similar agent frameworks.
Experience with
Langfuse, Elastic
or similar observability and search tools.
Experience with
Redis
for caching, conversation state, rate limiting, queue backed workflows or low latency GenAI application patterns.
Experience with
vLLM
or similar inference serving frameworks for running open weight models.
Experience deploying GenAI workloads on cloud or container platforms.
Saksoft Limited is a leading Digital Transformation Solution Partner for clients across the globe. The ensuing pandemic has accelerated maturing of the digital revolution, making it imperative for companies to invest in automation, technology-led cost moderation and digitalisation-induced improvement in organisational productivity. At Saksoft, we bring into play a business model that has transformed in line with customer needs. Our
‘Inch Wide Mile Deep’
positioning has helped create mission critical, vertical relevant solutions.
Our solutions are predominantly focussed on
Fintech
,
Logistics & Transportation
,
Retail/E-commerce
,
Health care
and
Telecom
account for over 70% of our revenues. Our competence and track record have made us the trusted partner to Public Sector companies in Singapore and United Kingdom.Customers today, are no longer looking for the best in the world. They want the best in the street. With our
String of Pearls
strategy, Saksoft is a group made up of organisations that are specialists in specific verticals, region and uniqueness. These qualities have helped our clients select us a partner of choice for their
digital transformation
journey, for over 2 decades
With our spread of technology solutions ranging from Intelligent Automation, Legacy Modernisation, and Managed Infrastructure support,
Advanced Analytics
and Quality Assurance, Saksoft is a well placed to address and resolve almost every technology challenge that a client faces.
Saksoft is a public listed in India on NSE and BSE under the permitted trading category.
To know more about Saksoft, feel free to write to us on