Software Engineer -AI

Infopark; Ernakulam; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infopark is seeking a Software Engineer - AI to join its engineering team in Kerala. The role focuses on cloud-native applications, microservices, Python, Docker, Kubernetes, and building AI-powered solutions within an Agile environment across distributed teams.

You will design, develop, and deploy scalable APIs, mentor peers, conduct code reviews, and contribute to DevOps practices, including CI/CD and automated testing, while delivering enterprise-grade AI platforms.

Qualifications

• Strong API development and microservices experience.
• Cloud-native application development experience.
• Experience with Python and frameworks (FastAPI/Flask/Django).
• Agile/Scrum delivery experience.
• Experience with Docker and Kubernetes.

Responsibilities

• Design, develop, and maintain scalable APIs and microservices.
• Build cloud-native solutions using modern cloud platforms and containerized architectures.
• Contribute to system architecture and solution engineering for complex business requirements.
• Develop and implement AI agents and agentic workflows to automate business processes.
• Build, deploy, and manage applications using Docker and Kubernetes.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Conduct code reviews, technical assessments, and mentor junior developers.
• Participate in DevOps practices including CI/CD pipelines, monitoring, and automated testing.
• Troubleshoot production issues and implement sustainable solutions.
• Document technical designs, architecture decisions, and operational procedures.

Skills

API development

Microservices

Cloud-native

Python

Docker

Kubernetes

AI agents

Agile/Scrum

Asynchronous programming

Git & CI/CD

Tools

FastAPI

Flask

Django

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Job description

Software Engineer -AI

Job Notes:

Position Summary We are seeking a highly skilled and motivated AI Software Engineer to join our engineering team. The ideal candidate will have strong experience in building cloud-native applications, designing scalable microservices architectures, and developing modern AI-powered solutions. This role requires deep expertise in Python, containerized environments, Kubernetes, and agentic AI systems, along with a passion for delivering high-quality software in an Agile environment. As part of a distributed engineering team, you will collaborate with architects, product owners, data engineers, and other software engineers to design, develop, deploy, and maintain enterprise-grade applications and AI-driven platforms.

Job Description

Key Responsibilities

• Design, develop, and maintain scalable APIs and microservices-based applications.
• Build cloud-native solutions leveraging modern cloud platforms and containerized architectures.
• Contribute to system architecture, technical design, and solution engineering for complex business requirements.
• Develop and implement AI agents and agentic workflows to automate business processes and enhance user experiences.
• Build, deploy, and manage applications using Docker and Kubernetes.
• Optimize application performance, reliability, scalability, and security.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Conduct code reviews, technical assessments, and mentor junior developers.
• Participate in DevOps practices including CI/CD pipelines, monitoring, and automated testing.
• Troubleshoot production issues and implement sustainable solutions.
• Document technical designs, architecture decisions, and operational procedures.

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Required Qualifications

Technical Skills

• Strong experience in API development and microservices architecture.
• Proven expertise in cloud-native application development.
• Solid understanding of system design, distributed systems, and software architecture patterns.
• Experience working in Agile/Scrum delivery environments.
• Advanced Python expertise, including:
  • FastAPI, Flask, or Django
  • Asynchronous programming
  • Data processing and integration frameworks
  • Test automation and performance optimization
• Strong experience with Docker and Kubernetes for application containerization and orchestration.
• Hands-on experience designing and developing AI agents and agentic workflows.
• Experience with source control systems such as Git and modern CI/CD practices.
• Strong analytical, problem-solving, and debugging skills.

Professional Skills

• Excellent communication and collaboration skills in a distributed team environment.
• Ability to work independently and manage priorities effectively.
• Strong ownership mindset and commitment to delivering high-quality solutions.
• Ability to contribute to technical discussions and architectural decisions.

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Preferred Qualifications (Nice to Have)

• Experience developing AI-powered applications and intelligent automation solutions.
• Hands-on experience with Large Language Model (LLM) integrations, including model orchestration and prompt engineering.
• Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agentic AI platforms.
• Front-end development experience using React or Angular.
• Experience with data engineering, data pipelines, ETL/ELT processes, and analytics platforms.
• Knowledge of MCP (Model Context Protocol) server development and integration.
• Experience with vector databases, RAG architectures, and AI observability tools.
• Familiarity with major cloud platforms such as AWS, Azure, or Google Cloud.

Desired Experience

• 5+ years of software engineering experience in enterprise or product development environments.
• Demonstrated success in delivering cloud-scale, distributed applications.
• Experience building and deploying AI-enabled solutions in production environments.
• Experience working with globally distributed or offshore development teams.