Full Stack AI Developer
Job Location:
Monthly Salary:
Posted on:
7 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role: Full Stack AI Developer
Experience: 7-10Years Exp
Location: Bangalore
JD:
We are looking for a highly skilled AI/ML Full Stack Engineer who specializes in the implementation of AI-powered agentic systemsrather than core ML research. This role focuses on designing building and deploying scalable applications that integrate LLMs AI orchestration frameworks and graph-based knowledge systems into production environments.
You will work at the intersection of AI engineering full-stack development and distributed systems building intelligent applications powered by modern frameworks such as LangChain LangGraph and GraphRAG.
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Key Responsibilities
AI/ML System Implementation
Design and implement agentic workflows and LLM-powered applications using frameworks such as LangChain LangGraph Google ADK or similar
Integrate LLMs (OpenAI Azure OpenAI etc.) into scalable production systems
Build retrieval-augmented generation (RAG) pipelines including GraphRAG patterns
Develop intelligent orchestration layers for multi-step reasoning and tool usage
Graph & Data Systems
Design and manage GraphDB solutions (Neo4j or similar) for knowledge representation and contextual reasoning
Implement graph-based retrieval and knowledge enrichment systems
Develop and optimize data models across relational (PostgreSQL) and graph databases
Full Stack Development
Build scalable frontend applications using React and TypeScript
Develop robust backend services using Python or Java (Spring)
Design and implement high-performance APIs for AI-driven applications
Ensure responsiveness performance and usability across applications
DevOps & Cloud Engineering
Deploy and operate applications on cloud platforms (Azure preferred)
Build and maintain CI/CD pipelines for rapid and reliable releases
Implement monitoring logging and observability for AI systems
Contribute to infrastructure improvements and automation
Collaboration
Collaborate closely with product managers designers and cross-functional teams
Translate business requirements into scalable AI-driven solutions
Contribute to code reviews documentation and engineering best practices
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Required Skills & Qualifications
AI/ML Engineering (Implementation-Focused)
Hands-on experience with:
o LangChain LangGraph Agno Google ADK or similar frameworks
Strong understanding of:
o LLM integration and orchestration
o RAG architectures (including GraphRAG concepts)
o Prompt engineering and tool-augmented agents
Graph & Data Systems
Practical experience with:
o Neo4j or other Graph Databases
Strong experience in:
o PostgreSQL or relational databases
o Query optimization and data modeling
Full Stack Development
Strong experience with:
o React TypeScript
o backend development
Familiarity with API design microservices and scalable architectures
Programming Languages
Proficiency in at least two of:
o Python
o JavaScript / TypeScript
o Java (Spring Framework)
Cloud & DevOps
Experience with:
o Azure cloud services (App Services Functions Storage etc.)
Strong understanding of:
o CI/CD pipelines
o Git-based workflows
Knowledge of:
o Monitoring logging and system reliability
Engineering Fundamentals
Strong grasp of software engineering best practices
Experience working in agile fast-paced environments
Excellent problem-solving and learning ability
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Preferred / Nice-to-Have Skills
Experience with:
o GraphRAG architectures and knowledge graph embeddings
o Distributed systems or microservices architecture
Familiarity with:
o Docker Kubernetes Infrastructure as Code
Experience in:
o AI-driven product development or intelligent automation systems
Knowledge of:
o Security and performance optimization in AI systems
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What Were Looking For
Engineers who excel at building and shipping AI-powered systems not just prototyping
Strong ability to bridge backend systems frontend UX and AI components
Passion for agentic workflows automation and next-generation AI applications
Ownership mindset with a focus on scalability reliability and production readiness
