AI Architect

MisticusMind, INC.; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

MisticusMind India Pvt Ltd in Pune seeks a Principal AI Architect to lead design and delivery of scalable AI systems, including LLM-based workflows and agentic architectures. You will work closely with clients to translate business problems into production-ready AI solutions and guide engineering teams in building robust, modular, and observable AI services.

The role requires hands-on expertise in AI systems, memory architectures, and enterprise integrations, with experience in vector databases,

Qualifications

• Strong proficiency in Python programming.
• Deep experience with LLM systems, prompt engineering, and agentic workflows.
• Hands-on expertise in Agentic RAG systems and retrieval pipelines.
• Experience with vector databases (ChromaDB, Milvus, PGVector).
• Knowledge of LLM evaluation and guardrails frameworks (RAGAS, DeepEval).
• Experience designing multi-agent systems and AI workflows.
• Strong understanding of state management and memory systems in AI agents.
• Experience with LangChain ecosystem and observability tools (LangSmith).
• Solid understanding of microservices architecture and API-driven systems.
• Familiarity with knowledge graph design and integration.
• Strong foundation in Machine Learning and Deep Learning concepts.
• Experience working with AWS and Docker.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication skills for client interaction and technical documentation.

Responsibilities

• Engage with clients and stakeholders to understand business challenges and define structured problem statements.
• Translate business requirements into scalable, technically feasible AI solutions.
• Design end-to-end AI systems, including data ingestion, retrieval, reasoning, and orchestration.
• Architect and implement Agentic RAG (Retrieval-Augmented Generation) systems.
• Design and develop multi-agent systems using patterns like planner–based architectures.
• Build and orchestrate AI-driven workflows for complex enterprise use cases.
• Design and implement memory architectures (short-term and long-term) for agents.
• Integrate vector databases for semantic search and retrieval.
• Develop knowledge graphs to enhance contextual reasoning.
• Implement LLM guardrails and evaluation frameworks to ensure reliability and performance.
• Design data ingestion pipelines for structured and unstructured data sources; build modular systems with SOLID principles.
• Develop and deploy AI services using microservices-based architectures and APIs.
• Conduct feasibility studies and architectural analyses for AI integration with legacy systems (e.g., SAP ecosystems).
• Create detailed technical specifications, architecture diagrams, and design documentation.
• Implement observability and tracing using tools like LangSmith for debugging.
• Mentor junior engineers and provide technical leadership across AI initiatives.

Skills

Python

LLM systems

Prompt engineering

Agentic RAG

Memory systems

Multi-agent systems

AI workflows

State management

LangChain

LangSmith

Microservices

Knowledge graphs

Machine Learning

Deep Learning

AWS

Docker

Analytical thinking

Communication

Tools

ChromaDB

Milvus

PGVector

RAGAS

DeepEval

LangChain

LangSmith

AWS

Docker

Job description

About Us

MisticusMind India Pvt Ltd is a leading innovator in the tech industry, dedicated

to pushing the boundaries of artificial intelligence and machine learning. We are seeking a

skilled and passionate AIML Developer to join our dynamic team and be a part of

development of cutting-edge AI and GenAI solutions.

Role Overview

We are seeking a highly experienced Principal AI Architect with strong hands-on

engineering expertise in modern AI systems, including LLMs, agentic workflows, and

enterprise-scale integrations. This role involves working closely with clients to understand

complex business problems and translating them into scalable, production-ready AI

architectures. The ideal candidate combines deep technical expertise with architectural

thinking to design, build, and guide the development of intelligent systems.

Key Responsibilities

• Engage with clients and stakeholders to understand business challenges and define structured problem statements.
• Translate business requirements into scalable, technically feasible AI
• Design end-to-end AI systems, including data ingestion, retrieval, reasoning, and
• Architect and implement Agentic RAG (Retrieval-Augmented Generation) systems.
• Design and develop multi-agent systems using patterns such as planner–
• Build and orchestrate AI-driven workflows for complex enterprise use cases.
• Design and implement stateful agent systems, including memory architectures (short-term and long-term memory).
• Integrate vector databases (ChromaDB, Milvus, PGVector) for semantic search and retrieval.
• Develop and integrate knowledge graphs to enhance contextual reasoning.
• Implement LLM guardrails and evaluation frameworks (e.g., RAGAS, DeepEval) to ensure reliability and performance.
• Design data ingestion pipelines for structured and unstructured enterprise data sources.Build modular, maintainable systems using SOLID principles and best software
• Develop and deploy AI services using microservices-based architectures and APIs.
• Conduct feasibility studies and architectural analysis for integrating AI with legacy systems (e.g., SAP ecosystems).
• Create detailed technical specifications, architecture diagrams, and design documentation.
• Implement observability and tracing using tools like LangSmith for debugging and
• Mentor junior engineers and provide technical leadership across AI initiatives.

Required Skills & Expertise

• Strong proficiency in Python programming.
• Deep experience with LLM systems, prompt engineering, and agentic
• Hands-on expertise in Agentic RAG systems and retrieval pipelines.
• Experience with vector databases (ChromaDB, Milvus, PGVector).
• Knowledge of LLM evaluation and guardrails frameworks (RAGAS, DeepEval).
• Experience designing multi-agent systems and AI workflows.
• Strong understanding of state management and memory systems in AI agents.
• Experience with LangChain ecosystem and observability tools (LangSmith).
• Solid understanding of microservices architecture and API-driven systems.
• Familiarity with knowledge graph design and integration.
• Strong foundation in Machine Learning and Deep Learning concepts.
• Experience working with AWS and Docker.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication skills for client interaction and technical documentation.

Preferred Qualifications

• Experience deploying AI systems in production environments at scale. Exposure to enterprise-grade AI system design (security, scalability, cost considerations).
• Familiarity with distributed systems and cloud-native architectures.
• Prior experience mentoring or leading engineering teams.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work on ground breaking AI/ML projects that have a real-world impact.

MisticusMind India Pvt Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.