Posted on: 09/06/2026
Job Title : AI Factory Engineer
Experience : 3+ Years
Location : Bangalore
Employment Type : Full Time
Job Summary :
Design, develop, deploy, and scale production-grade AI applications using Large Language Models (LLMs), agentic frameworks, and modern full-stack technologies.
Translate business requirements into AI-driven solutions by integrating enterprise systems, optimizing workflows, and delivering scalable products.
Own the complete AI solution lifecycle from requirement gathering to deployment and continuous improvement.
Key Responsibilities (KRA) :
- Design and develop AI-powered applications using LLMs such as ChatGPT and Claude.
- Build and implement Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
- Develop and orchestrate multi-agent AI systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar.
- Create scalable backend services using Python and/or Node.js and integrate them with modern frontend frameworks.
- Build API-first and microservices-based architectures for AI applications.
- Integrate AI solutions with enterprise platforms such as ERP, CRM, and internal business systems.
- Develop structured prompt engineering, function calling, and schema-based AI workflows.
- Design and implement context engineering strategies for efficient retrieval and response generation.
- Build and maintain Model Context Protocol (MCP) servers or equivalent AI orchestration layers.
- Develop proof of concepts and rapidly convert them into production-ready solutions.
- Optimize AI models and workflows for accuracy, latency, scalability, and cost efficiency.
- Implement testing, validation, guardrails, and monitoring for AI applications.
- Ensure secure access to enterprise data through role-based access controls and governance practices.
- Deploy and manage AI applications on cloud platforms using containerized environments and CI/CD pipelines.
- Collaborate with business stakeholders to understand requirements and deliver measurable business outcomes.
Required Skillsets :
- Strong proficiency in Python and/or Node.js.
- Experience with React, Next.js, or similar frontend frameworks.
- Hands-on experience with Large Language Models and prompt engineering.
- Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
- Experience with vector databases such as Pinecone, Weaviate, or FAISS.
- Knowledge of LangChain, LangGraph, CrewAI, AutoGen, or similar AI agent frameworks.
- Experience with structured outputs, JSON schemas, function calling, and tool integrations.
- Good understanding of SQL and NoSQL databases and data modeling.
- Experience in REST APIs and microservices architecture.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, and CI/CD practices.
- Understanding of AI evaluation, hallucination mitigation, and response optimization.
- Knowledge of enterprise security, data governance, and access control mechanisms.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and stakeholder management skills.
- Ability to work in a fast-paced, innovation-driven environment with an ownership mindset.
Qualifications :
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3+ years of experience in AI engineering, software development, machine learning, or related domains
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Posted in
Full Stack
Functional Area
ML / DL Engineering
Job Code
1643158