Required Qualifications

- 3 to 5 years of software engineering experience with hands-on application development responsibilities.

- 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.

- Proficiency in Python and experience building APIs, integrations, and enterprise applications.

- Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.

- Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, , Claude Code SDK, OpenAI SDK, or similar technologies.

- Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.

- Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.

- Experience building proofs of concept,



prototypes, or reference implementations.

- Experience integrating applications with enterprise systems, data platforms, and APIs.

- Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.

- Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.

- Experience with GitHub, CI/CD pipelines, containers, and contemporary software engineering practices.

- Familiarity with Azure or AWS services used to host and operate applications and AI workloads.

- Ability to work with business stakeholders and application development teams to translate requirements into working software.

- Strong communication, collaboration, and problem-solving skills.

📌 Python Developer (Bengaluru)
🏢 Synechron
📍 Bengaluru