Senior Python Engineer

Tachyon Technologies; Hyderabad; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

Tachyon Technologies is seeking a strong Senior Python Engineer with interest in AI-enabled applications. You will build Python-based backend services, APIs, and AI-enabled components running in modern cloud environments.

You will work with Azure, AWS or GCP, implement RAG pipelines and AI agents, and ensure maintainable code while collaborating on design, reviews and production readiness.

Qualifications

• Strong Python/backend fundamentals required.
• Experience with cloud providers (Azure/AWS/GCP).
• Familiarity with containerization and CI/CD workflows.
• Ability to deploy or support cloud-based applications.
• Understanding of logging/monitoring best practices.
• Experience with API and backend service design.

Responsibilities

• Build Python-based backend services and APIs.
• Develop AI-enabled applications and services.
• Implement RAG pipelines and enterprise search solutions.
• Build and integrate AI agents and tool-based workflows.
• Integrate applications with databases, APIs and enterprise systems.
• Deploy and operate services on cloud platforms (Azure/AWS/GCP).
• Use cloud storage, compute, databases, messaging and monitoring services.
• Write clean, maintainable, testable code and participate in design reviews.
• Debug complex integration issues and build automated tests.

Skills

REST APIs

SQL/NoSQL

Git

Cloud experience

CI/CD

Logging/Monitoring

Software engineering principles

Tools

Docker

Job description

We are looking for a strong Senior Python Engineer with experience or interest in building modern AI-enabled applications. The role involves developing APIs, AI services, integrations, agents, RAG solutions and reusable application components running in modern cloud environments. Candidates with strong Python and backend engineering fundamentals who have started working with Generative AI technologies are encouraged to apply.

Key Responsibilities

• Build Python-based backend services and APIs.
• Develop AI-enabled applications and services.
• Implement RAG pipelines and enterprise search solutions.
• Build and integrate AI agents and tool-based workflows.
• Integrate applications with APIs, databases and enterprise systems.
• Deploy and operate services on Azure, AWS or GCP.
• Use cloud storage, compute, databases, messaging and monitoring services.
• Develop reusable application and AI components.
• Write clean, maintainable and testable code.
• Participate in technical design and code reviews.
• Debug complex application and integration issues.
• Build automated tests and support deployment/production troubleshooting.
• Participate in prototypes and proof-of-concepts.
• Continuously evaluate emerging AI engineering technologies.

Required Skills

• REST APIs, SQL and NoSQL exposure.
• Git, testing and debugging.
• Practical cloud experience with Azure, AWS or GCP.
• Experience deploying or supporting applications in cloud environments.
• Docker/containers and CI/CD fundamentals.
• Logging and monitoring fundamentals.
• Strong understanding of software engineering principles.

Preferred / Additional Exposure

• LLM APIs and prompt engineering.
• RAG, embeddings and vector databases.
• AI agents and tool/function calling.
• AI evaluation and observability.

What We Are Looking For

• Independent problem solver.
• Ability to learn new technologies quickly.
• Good understanding of APIs, data flows and cloud applications.
• Comfortable working in fast-moving engineering environments.
• Strong ownership of assigned modules and deliverables.

Additional Note

Candidates with excellent Python/backend/cloud fundamentals and demonstrable AI experimentation will also be considered.

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