Python Developer

Kiya.ai; Bengaluru; On-site; INR 3,000,000 - 4,800,000; Full time

Job summary

Kiya.ai in Bengaluru, India, is seeking engineers with strong Python and C++ skills and deep knowledge of Linux/Unix systems. You will tackle threading, concurrency, and performance challenges while collaborating across teams and applying AI-assisted development practices.

Experience with AI tools (Codex, Copilot, LangChain) and modern development workflows is highly valued. Familiarity with security, networking, and scalable back-end design is a plus.

Qualifications

• Strong programming expertise in Python.
• Good working knowledge of C++.
• Strong experience with Linux/Unix platforms and system-level debugging like threading/concurrency issues, scale and performance bottlenecks.
• Strong collaborating and communication skills.
• Strong understanding of CS fundamentals and modern AI-assisted development practices.

Skills

Python

C++

Linux/Unix

Collaboration

Tools

VS Code AI

Codex

Copilot

ChatGPT

LLM Tools

LLMs

Prompt Eng

RAG

AI Workflows

AI Debugger

OpenAI API

LangChain

LlamaIndex

Vector DBs

Embeddings

Prompt Orchestration

Job description

Skills Required

MUST: Core Programming & Platform Skills

• Strong programming expertise in Python.
• Good working knowledge of C++.
• Strong experience with Linux/Unix platforms and system-level debugging like Threading/concurrency issues, Scale and performance bottlenecks,
• Strong collaborating and communication skills.

MUST: Computer Science Fundamentals

Strong understanding of:

• Data Structures & Algorithms
• Object-Oriented Design (OOD)
• Multithreading & Concurrency
• Design Patterns (Singleton, Factory, etc.)
• Database concepts
• Memory and performance optimization

Networking & Security

MUST:

• Networking TCP/UDP/TLS.
• Encryption, Authentication, Authorization, Access Control Lists, DoS protection, Certificate management and cipher suites and Secure communication protocol.

MUST: AI-Assisted Development & GenAI Skills:

Candidates should have exposure to modern AI-assisted software development practices and tools, including:

• Must: Experience using AI-powered coding assistants and developer productivity tools such as:
• VS Code AI extensions
• OpenAI Codex
• Skills Development
• GitHub Copilot
• ChatGPT
• Other LLM-based developer tools
• Must: Familiarity with:
• Large Language Models (LLMs)
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• AI agent/workflow concepts
• AI-assisted debugging, testing, and code generation
• Good to have: Experience building or integrating AI-based tools/applications is a strong advantage, such as:
• Internal productivity tools
• Chatbots or automation assistants
• RAG-based applications
• AI-enabled developer workflows
• Good to have: Exposure to AI/ML frameworks and APIs such as:
• OpenAI APIs
• LangChain / LlamaIndex
• Vector databases
• Embedding models
• Prompt orchestration frameworks

GOOD TO HAVE: Backend & Distributed Systems

Hands-on experience with:

• REST APIs
• Event-driven architectures
• Inter-process communication (IPC)
• HTTP/HTTPS transactions
• Asynchronous programming and messaging systems

GOOD to HAVE: Preferred Qualifications:

• Experience with collaboration products.
• Exposure to secure communication platforms or VoIP/SIP-based systems.
• Knowledge of containerization technologies such as Docker/Kubernetes is a plus.
• Familiarity with observability and monitoring tools is an advantage.

GOOD TO HAVE:

• Experience working in Agile/Scrum environments.
• Familiarity with Git, CI/CD pipelines, and code review practices.
• Understanding of VoIP and SIP concepts .
• Cisco Collaboration, Calling.