Senior Python AI Engineer ( 6-10 Years Experience | Immediate Joiners | Remote | Upto 30LPA )

YMinds.AI; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

YMinds.AI is seeking a Senior Python AI Engineer in Bengaluru to lead the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. You will own end-to-end delivery, architect GenAI workflows, and collaborate with cross-functional teams to translate business needs into AI solutions.

The role requires strong Python engineering, hands-on experience with LLM-based systems, and leadership to mentor engineers while driving adoption of

Qualifications

• 6–10 years of Python backend experience.
• Proficient with FastAPI, Flask, Pydantic, SQLAlchemy.
• Hands-on with LLMs including OpenAI, Claude, Gemini.
• Experience building multi-agent GenAI workflows.
• Experience in cloud-native architectures and MLOps.

Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect GenAI and Agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery of AI projects from requirements to production deployment.
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership.
• Collaborate with clients to translate business needs into AI solutions.
• Drive adoption of latest GenAI tools, trends, and best practices.

Skills

Python

FastAPI

LLMs / GenAI

LangChain / LangGraph

REST APIs

Cloud

MLOps / LLMOps

Git / CI/CD

Team leadership

Communication

Tools

OpenAI

Claude

Gemini

LangChain

LlamaIndex

AWS

Azure

GCP

Job description

Our client is seeking a Senior Python AI Engineer to lead the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. This role requires strong expertise in Python engineering, hands‑on experience with LLM-based systems, and the ability to take ownership of end-to-end project delivery while collaborating with cross-functional stakeholders.

Key Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices
• Architect and build GenAI and Agentic AI workflows using modern LLM frameworks
• Own end-to-end delivery of AI projects from requirement gathering to production deployment
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems
• Ensure reliability, scalability, and security of AI solutions in production
• Mentor junior engineers and provide technical leadership
• Collaborate with clients to translate business needs into AI solutions
• Drive adoption of latest GenAI tools, trends, and best practices

Required Skills

• 6-10 years of experience in Python development with scalable backend systems
• Strong knowledge of frameworks like FastAPI, Flask, Pydantic, SQLAlchemy
• Hands‑on experience with LLMs and GenAI tools (OpenAI, Claude, Gemini, etc.)
• Experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex
• Expertise in designing multi‑agent workflows, prompt pipelines, and tool integrations
• Strong understanding of REST APIs, microservices, and cloud‑native architectures
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of MLOps / LLMOps, monitoring, evaluation, and deployment pipelines
• Proficiency with Git, CI/CD, and production systems
• Experience in leading teams and working with enterprise/global clients

Nice-to-Have Skills

• Strong presentation and communication skills
• Experience interacting with non-technical stakeholders
• High ownership and ability to work independently in remote environments
• Strong problem‑solving mindset and attention to detail
• Passion for Generative AI and emerging AI technologies

About YMinds.AI

YMinds.AI is a forward‑thinking AI solutions company focused on building impactful, production‑ready Generative AI systems for global clients. The organization emphasizes innovation, scalability, and real‑world problem‑solving, enabling businesses across industries to leverage AI for transformation and growth.

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