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. ---

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 Next.js, React, and TypeScript

· Develop robust backend services using Node.js, 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 Next.js, React, TypeScript o Node.js 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 We're Looking For

· Engineers who excel at building and shipping AI-powered systems, not just prototyping

· Solid 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

📌 Full Stack AI Developer (Bengaluru)
🏢 TalentOla
📍 Bengaluru