Python AI Engineer

Xminds Infotech Pvt Ltd; Thiruvananthapuram; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Xminds Infotech Pvt Ltd is seeking a Python AI Engineer to build enterprise AI solutions using cutting-edge technologies. You will design scalable and production-ready AI applications, focusing on LLMs and RAG implementations.

The ideal candidate has a Bachelor’s degree in a relevant field and expertise in Python, LangChain, and cloud-native technologies. This role offers a unique opportunity to contribute to advanced AI developments in a collaborative environment.

Qualifications

• Proven experience in developing AI solutions with LLMs and generative AI.
• Hands-on with frameworks like LangChain and LangGraph.
• Solid grasp of RAG and embedding techniques.

Responsibilities

• Design and implement AI solutions using LangChain and similar frameworks.
• Develop and optimize RAG pipelines including embeddings.
• Collaborate with business stakeholders for requirement translation.

Skills

Experience with Large Language Models (LLMs)

Strong understanding of RAG

Proficiency in Python

Experience with LangChain

API integration expertise

Familiarity with cloud-native platforms

Education

Bachelor’s degree in Computer Science

Degree in Artificial Intelligence

Degree in Data Science

Tools

LangChain

LangGraph

CrewAI

Job description

We are hiring a Python AI Engineer with experience in building enterprise AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent frameworks. The ideal candidate should be comfortable designing scalable AI applications, integrating enterprise systems, and delivering production-ready intelligent automation solutions.

Key Responsibilities

• Design and implement agentic AI solutions using LangChain, LangGraph, CrewAI, or similar frameworks.
• Develop multi-agent systems capable of coordinating tasks, tool usage, and workflow execution.
• Build and optimize RAG pipelines, including document ingestion, embedding generation, indexing, and retrieval.
• Integrate foundation models such as GPT, Gemini, Llama, or equivalent into enterprise applications.
• Design connectors and integrations for APIs, databases, enterprise systems, and document repositories using MCP or similar protocols.
• Develop AI-powered applications, dashboards, and user interfaces using modern web technologies.
• Develop secure and scalable data processing workflows supporting AI operations and enterprise governance.
• Monitor, test, tune, and optimize AI agents for performance, accuracy, and reliability.
• Collaborate with business stakeholders to translate requirements into AI-driven solutions.
• Prepare technical documentation, architecture designs, and implementation guides.
• Deliver production-ready agentic AI workflows, RAG-based knowledge retrieval solutions, and enterprise integrations.
• Provide deployment support, performance optimization recommendations, and knowledge transfer documentation.

Required Skills

• Experience with Large Language Models (LLMs) and Generative AI application development.
• Hands‑on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Strong understanding of RAG, embeddings, vector search, and semantic retrieval techniques.
• Proficiency in Python and API integration.
• Experience integrating enterprise data sources and external tools into AI workflows.
• Familiarity with cloud‑native platforms and data engineering environments.
• Ability to design scalable, modular, and production‑ready AI architectures.

Preferred Skills

• Experience with vector databases such as Pinecone, Chroma, Weaviate, or pgvector.
• Exposure to MLOps, AI monitoring, and observability tools.
• Experience in enterprise software delivery or client‑facing environments.
• Knowledge of modern web frameworks for AI‑enabled applications.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work independently and collaboratively in a fast‑paced environment.