Senior Developer | Python + Fast API +UI

Tata Consultancy Services; Pune District, Bengaluru, Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced backend engineer to develop applications using Python and modern frameworks like FastAPI and Flask. Candidates should have 3-5 years of experience and be skilled in system design, agile methodologies, and cloud platforms.

The role involves working on AI frameworks and ensuring the implementation of best engineering practices, including strong knowledge of data security, automated testing, and continuous integration.

Qualifications

• Min 3-5 years of experience in backend engineering.
• Proven experience with AI frameworks and orchestration.
• Strong knowledge of security best practices related to LLMs.

Responsibilities

• Build backend applications with Python frameworks.
• Design distributed systems and microservices architecture.
• Implement engineering best practices in development.

Skills

Python expertise

Cloud platforms

CI/CD practices

Containerization (Docker, Kubernetes)

Database management (relational/NoSQL)

System design

Job description

• Experience: min 3 - 5+ years of professional experience in backend engineering, with a strong focus on Python.
• Python Mastery: Deep expertise in Python and modern backend frameworks (e.g., FastAPI, Flask, Django).
• AI/Agentic Frameworks: Proven hands‑on experience building applications with LLMs (OpenAI, Anthropic, open‑source models) and agentic orchestration frameworks.
• System Design: Strong understanding of distributed systems, microservices architecture, and asynchronous programming in Python.
• Database Expertise: Solid experience with both relational/NoSQL databases and Vector Databases.
• Engineering Best Practices: Strong commitment to CI/CD, automated testing, version control (Git), and code reviews.
• Experience with cloud platforms and containerization/orchestration (Docker, Kubernetes).
• Familiarity with prompt engineering techniques and model fine‑tuning.
• Understanding of security best practices, especially concerning data privacy and LLM vulnerabilities (e.g., prompt injection).