Application Developer

Who are we looking for?
Education
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related
discipline.
Experience
5+ years of software engineering experience.
5+ years of experience developing server backends such as Web APIs using object-oriented
programming or functional programming.
5+ years of experience developing cloud applications using AWS/ Azure/on prem
Linux/equivalent technologies or platform.
3+ years of experience building AI-powered applications, LLM solutions, Agentic AI systems, or
intelligent automation platforms.
Hands-on experience with LangChain and LangGraph for building and deploying enterprise-
grade AI agents and agentic workflows.
Proven experience leading engineering teams and delivering enterprise-scale software
solutions.
Experience working within Agile product development environments.
Technical Skills
AI & Agentic Technologies
Large Language Models (LLMs)
Agentic AI Systems
Multi-Agent Architectures
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Agent Memory & Context Management
AI Evaluation Frameworks
Responsible AI & AI Governance
Preferred Frameworks
LangGraph
Semantic Kernel
Model Context Protocol (MCP)
LangChain
Azure AI Foundry
Generative AI Platforms
Azure OpenAI
OpenAI Models
Anthropic Claude
Google Gemini
Open-source LLMs (Llama, Mistral, DeepSeek)

Generative AI Platforms
Azure AI Search
Vector Databases
Elasticsearch
Backend Development
Python
FastAPI
Flask
Django
REST APIs
Event-Driven Architecture
Microservices
Async Programming
Knowledge Systems & Search
Azure AI Search
Vector Databases
Elasticsearch
Backend Development
Python
FastAPI
Flask
Django
REST APIs
Event-Driven Architecture
Microservices
Async Programming
Backend Development
Python
FastAPI
Flask
Django
REST APIs
Event-Driven Architecture
Microservices
Async Programming
Cloud & Infrastructure
Microsoft Azure
Kubernetes (AKS)
Docker
Azure Container Registry
Azure Key Vault
Azure Functions
Azure Service Bus
Azure Event Hub

Databases & Data Platforms
PostgreSQL
SQL Server
Redis
MongoDB
DevOps & Platform Engineering
Git
Azure DevOps
CI/CD Pipelines
Observability & Monitoring
Azure Application Insights
Monitoring & Alerting Frameworks
AI Performance Monitoring
Cost & Usage Monitoring
Backend Development
Python
FastAPI
Flask
Django
REST APIs
Event-Driven Architecture
Microservices
Async Programming
Critical Competencies
Builds and scales high-performing engineering teams.
Demonstrates strong ownership and accountability.
Create, update, and maintain LLDs FSDs and technical documentation.
Balances innovation with operational excellence.
Strong problem-solving and system-thinking mindset.
Ability to translate business challenges into scalable AI-powered solutions.
Customer-focused with a passion for delivering measurable business impact.
Influences stakeholders through technical expertise and collaboration.
Passionate about emerging AI technologies and continuous learning.
Drives engineering excellence through mentoring, standards, and best practices.
Thrives in fast-paced environments with a strong bias for action.
Success in this Role
Within the first year, you will:
Lead the delivery of enterprise-scale Agentic AI solutions and business applications.
Establish engineering standards and reusable frameworks for Agentic BuildWorks.
Mentor and grow a high-performing engineering team.
Drive adoption of AI-powered capabilities across business functions.
Help shape the future architecture and engineering strategy for AI applications within Landmark
Group.