Senior hands-on AI / Python Engineering Lead

Tachyon Technologies; Hyderabad; Hybrid; INR 4,200,000 - 6,500,000; Full time

Job summary

Tachyon Technologies in Hyderabad is seeking a Senior hands-on AI/Python Engineering Lead to design, build and scale enterprise AI solutions and backend platforms. You will lead architecture, coding, and mentoring while actively shaping GenAI, LLMs, RAG and agents.

The role requires strong Python and cloud engineering skills, with hands-on production deployments on Azure, AWS or GCP and integration with enterprise systems. Hybrid work model in place.

Qualifications

• Senior hands-on AI/Python engineering background with enterprise-grade delivery.
• Strong Python and software engineering fundamentals.
• Hands-on cloud engineering experience and production deployments.

Responsibilities

• Lead design and development of AI-enabled enterprise solutions.
• Build production-grade Python services and APIs.
• Design GenAI, RAG and agent-based applications.
• Integrate AI with enterprise databases and APIs.
• Architect and deploy AI solutions on cloud platforms.
• Mentor AI/Python engineers and conduct reviews.
• Evaluate new AI technologies and practical adoption paths.

Skills

REST APIs

Backend engineering

Microservices

Cloud platforms

Docker

CI/CD

Observability

Architecture

Tools

Azure

AWS

GCP

Job description

Senior hands-on AI / Python Engineering Lead

Location: Hyderabad, India

Experience: Senior-level

Employment Type: Full-time

Work Mode: Hybrid

Role Overview

We are looking for a senior hands-on AI / Python Engineering Lead to design and build enterprise-grade AI solutions, intelligent applications and backend platforms. The role requires strong Python and software engineering fundamentals, practical cloud engineering experience, and hands-on experience building solutions using Generative AI, LLMs, RAG, agents or related AI technologies. This person will provide technical leadership while remaining actively involved in architecture, design and implementation.

Key Responsibilities

• Lead the design and development of AI-enabled enterprise solutions.
• Build production-grade Python services and APIs.
• Design GenAI, RAG and agent-based applications.
• Integrate AI solutions with enterprise applications, databases and APIs.
• Design orchestration and tool-integration patterns.
• Architect and deploy AI solutions on Azure, AWS or GCP.
• Work with cloud-native AI, compute, storage, search and integration services.
• Lead architecture and engineering decisions for AI solutions.
• Conduct code and design reviews and mentor AI/Python engineers.
• Build rapid prototypes and proof-of-concepts and convert successful prototypes into scalable production solutions.
• Implement evaluation, monitoring and observability for AI applications.
• Participate in customer discovery and technical workshops.
• Evaluate emerging AI technologies and recommend practical adoption approaches.

Required Skills

• REST APIs and backend engineering using FastAPI, Flask or equivalent frameworks.
• Microservices architecture and SQL/NoSQL databases.
• Strong software engineering fundamentals.
• Strong practical experience with Azure, AWS or GCP.
• Experience deploying applications in cloud environments and familiarity with cloud identity, compute, storage, networking and observability.
• Docker and containerized deployments.
• CI/CD, logging, monitoring and observability.
• Strong architecture and integration experience.

Preferred / Additional Exposure

• Large Language Models and Generative AI.
• Prompt engineering and Retrieval-Augmented Generation.
• Vector databases and embeddings.
• AI agents, tool/function calling and LLM orchestration.
• LangChain, LangGraph, Semantic Kernel or equivalent.
• AI evaluation and observability.
• MCP or similar emerging agent/tool integration patterns.

What We Are Looking For

• Strong engineer first, AI specialist second.
• Ability to design as well as implement.
• Strong understanding of production and cloud engineering.
• Ability to mentor engineers and raise technical quality.
• Ability to work with ambiguity and rapidly build solutions.
• Strong customer-facing communication is an advantage.

Additional Note

This is a hands-on technical leadership role. Candidates should be comfortable moving between architecture, coding, debugging, mentoring and customer-facing technical discussions.