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Software Engineer- AI

IncubXperts TechnoConsulting
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Spring Boot
BCS
Azure
Law
Computer Science
React
Full-stack development
Relational databases
System design
NoSQL
Git
.NET
Java
Master's degree
Databases
Microservices
SQL
AWS
Bachelor's degree
Machine learning
JavaScript
Version control systems
Back-end development
REST
Natural language processing
Angular
APIs
S3
Web services
DynamoDB
AI
Communication skills
Python
Spring framework
Information Technology
Design patterns

Full job description

Job Information

Date Opened

05/06/2026

Industry

IT Services

Job Type

Full time

Work Experience

4-6 years

City

Pune City

State/Province

Maharashtra

Country

India

Zip/Postal Code

411068

About Us

IncubXperts is a Software Technology Services company. We focus on building Web solutions for Enterprises and Independent Software Vendors or Product companies.

To know more visit: www.incubxperts.com

Job Description

Job Summary

We are seeking a skilled Full Stack Developer with strong experience in modern JavaScript-based frontend frameworks, backend development, and growing expertise in Generative AI (GenAI) and Large Language Model (LLM) solutions. The role involves building scalable, secure, and AI-powered web applications, integrating intelligent automation, and deploying cloud-native, event-driven architectures.

You will work closely with cross-functional teams—including AI, data, design, and product stakeholders—to deliver end-to-end AI-enabled solutions, from ingestion and model integration to user-facing applications.

Key Responsibilities

Frontend Development

Develop responsive, high-performance web applications using React or Angular
Build intuitive user interfaces for AI-powered features such as chatbots, intelligent search, recommendations, and dashboards
Ensure cross-browser compatibility, accessibility, and optimal user experience

Backend & API Development

Design, develop, and maintain scalable backend services using .NET, Java, and Python
Build and consume RESTful APIs using frameworks such as FastAPI and Spring Boot
Implement clean, maintainable, well-documented, and reusable code
Troubleshoot, debug, performance-tune, and upgrade existing systems
Participate in code reviews and contribute to best engineering practices

GenAI & LLM Solutions

Develop LLM-powered applications using modern Generative AI design patterns
Build, optimize, and maintain RAG (Retrieval-Augmented Generation) pipelines, including:
- Data ingestion
- Embeddings generation
- Vector storage and retrieval
Evaluate, integrate, and productionize LLM platforms and APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock, Google AI)
Integrate AI-driven capabilities such as conversational interfaces, summarization, recommendations, and intelligent automation
Work closely with AI and data teams to support deployment and usage of machine learning and LLM models in applications

Cloud & Event-Driven Systems

Design and build cloud-native applications on AWS, including:
- AWS Bedrock
- AWS Lambda
- Amazon S3
- DynamoDB
Implement event-driven and asynchronous architectures for scalable systems
Support real-time and near-real-time processing use cases
Optimize applications for performance, scalability, cost efficiency, and reliability

Data, Security & Performance

Work with SQL and NoSQL databases for application and AI workloads
Ensure application security best practices are followed
Optimize applications for maximum speed, scalability, and reliability
Implement proper logging, monitoring, and error-handling strategies

Required Skills & Qualifications

Technical Skills

4–6 years of professional experience as a Backend OR platform engineering
Strong proficiency in Java & Python
Solid understanding of RESTFUL APIs, web services, and system design
Experience with FastAPI and/or Spring Boot
Practical experience or strong exposure to LLMs, RAG pipelines, or GenAI applications
Hands-on experience with AWS services such as Bedrock, Lambda, S3, DynamoDB
Strong knowledge of SQL and relational databases; exposure to NoSQL databases is a plus
Experience using Git-based version control systems

AI & Cloud (Preferred / Plus)

Basic to intermediate understanding of AI/ML concepts, such as:
- Natural Language Processing (NLP)
- Machine Learning fundamentals
- Generative AI
Experience integrating AI/ML APIs and intelligent automation into web applications
Familiarity with cloud-native, event-driven, and microservices architectures

Soft Skills

Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills
Ability to work effectively in a cross-functional team environment
Willingness to learn, experiment, and adapt to emerging AI technologies

Requirements

Educational Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field

(or equivalent practical experience)

Apply Now

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