Senior GenAI Application Engineer

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.

Requirements:

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

Key Domain/ Technical Skills

Production GenAI Application Engineering

LangGraph, LangChain, RAG and Agentic Workflows

Python, Java, APIs and Enterprise Integration

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