Software Engineer Engineering & Development Jaipur 2-4 years 2026-08-31 Caylent

BOT Consulting; Jaipur; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Caylent, an AI-first cloud services company, seeks a software engineer to drive end-to-end solution development, deployment, and architecture. You’ll automate and scale across the delivery ecosystem and collaborate with architects to deliver production-ready solutions.

You’ll work on AI-assisted features, integrate ML components, and strengthen CI/CD pipelines while staying current with GenAI trends. This role focuses on scalable, secure cloud applications across AWS in a collaborative

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2–4 years of hands-on experience in software or AI engineering, including application development, cloud-based architectures, and building CI/CD pipelines.
• Strong working knowledge of core AWS services used in software engineering, including Lambda, API Gateway, EC2, S3, RDS/DynamoDB, Step Functions, and related cloud-native tools.
• Familiarity with LLMs and GenAI concepts (prompting, embeddings, RAG pipelines) is a plus.
• Preferred certifications: AWS Certified Machine Learning – Specialty, AWS Solutions Architect – Associate, or equivalent.

Responsibilities

• Design, develop, and deploy scalable, secure applications and AI-assisted features using cloud-native services such as AWS Lambda, EC2, S3, RDS, and related tools.
• Participate in the full application development lifecycle, including data processing, feature implementation, testing, deployment, and monitoring.
• Collaborate with senior engineers and architects to build production-ready, maintainable, and high-performance systems aligned with business objectives.
• Integrate basic AI/ML components or APIs into applications to enhance functionality and user experience.
• Implement and maintain CI/CD pipelines, version control, and automated testing for software and AI-assisted modules.
• Stay updated with emerging trends in AI/ML, GenAI, and MLOps, recommending improvements where relevant.

Skills

Software engineering

AWS expertise

GenAI familiarity

Communication

Problem solving

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

AWS Lambda

API Gateway

EC2

S3

RDS/DynamoDB

Step Functions

CI/CD tooling

Job description

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

About the Role

We are seeking a highly skilled and motivated software Engineer with expertise in end-to-end solution development, deployment, and architecture across multiple domains.This role will focus on driving automation, scalability, and efficiency across our technical delivery ecosystem.

You’ll work closely with solution architects and engineers to build assets and automations that can be integrated into repeatable client delivery work-streams.

KeyResponsibilities

Solution Development & Implementation

• Design, develop, and deploy scalable, secure applications and AI-assisted features using cloud-native services such as AWS Lambda, EC2, S3, RDS , and related tools.
• Participate in the full application development lifecycle, including data processing, feature implementation, testing, deployment, and monitoring.
• Collaborate with senior engineers and architects to build production-ready, maintainable, and high-performance systems aligned with business objectives. Contribute to proof-of-concepts and prototypes involving new frameworks, algorithms, or AI-assisted features.
• Integrate basic AI/ML components or APIs into applications to enhance functionality and user experience.
• Implement and maintain CI/CD pipelines, version control, and automated testing for software and AI-assisted modules.
• Support integration of applications with enterprise systems, APIs, and data services across AWS.
• Follow established coding, testing, and documentation standards to ensure maintainability, security, and performance.
• Work closely with architects, cloud engineers, and product teams to translate concepts into deployable solutions.
• Participate in architecture and code reviews to ensure high engineering standards. Support pre-sales or internal PoC efforts under senior guidance to demonstrate capabilities.
• Stay updated with emerging trends in AI/ML, GenAI, and MLOps, recommending improvements where relevant.
• Contribute to the internal AI Center of Excellence (CoE) by building reusable components, frameworks, and automation scripts.
  

Requirements

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2-4 years of hands-on experience in software or AI engineering, including application development, cloud-based architectures, and building CI/CD pipelines.
• Strong working knowledge of core AWS services used in software engineering, including Lambda, API Gateway, EC2, S3, RDS/DynamoDB, Step Functions, and related cloud-native tools. (Experience with Azure or GCP equivalents is a plus.).
• Working knowledge of data engineering concepts such as ETL pipelines, feature stores, or vector databases.
• Familiarity with LLMs and GenAI concepts (prompting, embeddings, RAG pipelines) is a plus.
• Strong grasp of software engineering best practices — version control, testing, modular design, and cloud deployment.
• Excellent analytical, problem-solving, and communication skills.
• Preferred certifications: AWS Certified Machine Learning – Specialty, AWS Solutions Architect – Associate, or equivalent.
  

Signs you may be a great fit

Impact: Play a pivotal role in shaping a rapidly growing venture studio.

Culture: Thrive in a collaborative, innovative environment that values creativity and ownership.

Growth: Access professional development opportunities and mentorship.

Benefits: Competitive salary, health/wellness packages, and flexible work options.

We specialize in building high-performing, scalable Global Capability Centers, empowering businesses to achieve global success with efficiency and cultural integration.