AI Full Stack Engineer Developer

Experience

: 6+ Years

Role

: AI Full Stack Engineer Developer

Key Skills:

• DevOps: CICD, Kubernetes/Openshift, Docker,Jenkins, Bash
• Backend: Python, SQL, Celery, Gen AI prompting
• Frontend: TypeScript, HTML, Jinja

Responsibilities:
We are looking for a

AI

Full Stack Engineer

who operates effectively at the intersection of

system analysis, enterprise integration and data engineering

to

support GenAI initiatives

.

The successful candidate will:

• Understand business and functional requirements
• Translate them into data flows and integration designs
• Work across upstream and downstream systems
• Ensure reliable movement, transformation and availability of data for GenAI use cases
• Develop scripts / programs to get data from different integration systems
• Develop APIs to integrated with relevant systems.

The focus is on

getting data into the right place, in the right format, reliably

.

What Matters Most

• Strong

system thinking

and ability to understand end to end flows

• Ability to

challenge bad designs and propose better ones

• Strong

stakeholder communication

• Hands on enough to troubleshoot and implement, but not a pure coder
• Experience navigating

messy enterprise ecosystems

Key Responsibilities

1. System Analysis & Design

Analyse business/technical requirements and translate them into

data flows and integration designs

Work with upstream and downstream teams to define

data contracts and interfaces

Identify gaps, inefficiencies and risks in current data movement processes

Propose pragmatic solutions balancing speed, quality and maintainability

2. Integration & Data Movement

Design and implement

data movement across systems

using:
APIs

SFTP and file based transfers

Batch pipelines

Coordinate integrations across systems in the DataLake ecosystem

(Informatica, Cloudera, etc.)

Ensure data is correctly transformed, mapped and delivered to target systems

Troubleshoot integration issues across environments

3. Data Preparation for GenAI

Support data ingestion and preparation for GenAI use cases:
document ingestion

data aggregation

enrichment and transformation

Work with structured and unstructured data

Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

You are not asking them to build models, just make data usable for them.

4. Delivery & Coordination

Work across multiple teams:
data platforms

application teams

infrastructure

security

Support SIT, UAT and production rollouts

Ensure integration reliability, error handling and monitoring

Document flows, mappings and interfaces clearly

5. Production Support

• Provide production support for deployed applications, including incident investigation, troubleshooting, resolution, and service restoration.
• Perform

bug fixes, code corrections, and application development changes

required to resolve production issues and improve application stability.

• Develop and implement

enhancements or technical changes

arising from production issues, operational requirements, or continuous improvement.

• Troubleshoot issues across the full technology stack, including

Python, Celery

,

database

,

Docker

,

Kubernetes/OpenShift

, and

CI/CD

.

Requirements:
Key Requirements

Below are the key skillsets that will be required for all relevant tasks mentioned:

·

5-10 years of experience

in system analysis, integration engineering, data engineering or technical delivery roles.

• Good

SQL

and

Python

skills for data handling, scripting, automation and troubleshooting.

• Good knowledge of front end stack, such as

HTML

,

Jinja

templating.

• Experience with

Celery

for asynchronous / background task processing

• Strong ability to translate requirements into system flows, data flows, interface specifications and implementation plans.
• Experience working with upstream and downstream teams to define and deliver enterprise integrations.
• Practical experience with

REST APIs, SFTP, batch processing, file based integration

and data pipeline orchestration.

• Good understanding of data mapping, transformation, aggregation, reconciliation and data quality controls.
• Exposure to Java
• Exposure to Cloudera or similar enterprise data platforms.
• Working knowledge of

Git

, branching, pull requests, code reviews and controlled release practices.

• Familiarity with

CI/CD

,

Jira

, Confluence and enterprise deployment processes.

• Experience of deploying and supporting application on

Kubernetes

and

OpenShift (OCP)

• Experience with

Control M

or equivalent scheduling tools.

• Familiarity with logging and monitoring tools such as

Splunk,

Elastic Stack.

• Exposure to

GenAI

concepts such as document ingestion, RAG, embeddings and data preparation for AI workflows.

Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

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

[email protected]