Senior hands-on AI / Python Engineering Lead

Tachyon Technologies; Hyderabad; Hybrid; INR 3.500.000 - 7.000.000; Vollzeit

Zusammenfassung

Tachyon Technologies in Hyderabad, India is seeking a senior hands-on AI / Python Engineering Lead to design and build enterprise-grade AI solutions, intelligent applications and backend platforms.

You will lead Python services, collaborate on GenAI, RAG and agent-based workflows, mentor engineers, and steer architecture, while delivering production-ready systems on cloud (Azure, AWS or GCP) with strong observability and DevOps practices.

Qualifikationen

• Strong Python and software engineering fundamentals.
• Experience building AI-based solutions with GenAI, LLMs, RAG or agents.
• Hands-on cloud engineering experience across Azure, AWS or GCP.
• Experience deploying production-grade backend services and APIs.

Aufgaben

• 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.
• Architect and deploy AI solutions on cloud platforms (Azure, AWS, GCP).
• Mentor AI/Python engineers and conduct code/design reviews.
• Deliver rapid prototypes and convert them into scalable production systems.

Kenntnisse

REST APIs

Backend engineering

Microservices

Cloud platforms

Docker

CI/CD

Observability

Architecture

Tools

Azure

AWS

GCP

Jobbeschreibung

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.