Python Gen AI

Synechron; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Flexible workplace arrangements

Mentoring & learning programs

Internal mobility

Job summary

Synechron seeks an Applied AI Engineer to translate business needs into practical AI-enabled software. You will prototype AI copilots, agents, and workflows, build RAG-based solutions, and integrate AI capabilities with enterprise systems.

Strong Python, API development, and hands-on experience with LLMs and AI frameworks are required. You will collaborate across business and technology stakeholders to deliver production-ready components, maintain quality tests, and ensure governance and

Qualifications

• 3+ years of software engineering with application development responsibilities.
• 1–3 years building Generative AI apps, AI assistants, agents, copilots, or automation.
• Proficiency in Python and building APIs/integrations for enterprise apps.
• Hands-on with LLMs, embeddings, vector databases, semantic search, RAG and related patterns.
• Hands-on with frameworks like LangGraph, LangChain, Claude Code SDK, OpenAI SDK.
• Familiarity with MCP, AI gateways, agent communication, or tool-calling.

Responsibilities

• Understand requirements with business/tech stakeholders and translate into implementations.
• Develop proofs, prototypes, and reference apps to demonstrate business value.
• Build AI-powered apps, copilots, agents, and orchestrations.
• Implement RAG solutions using knowledge bases, embeddings, and semantic search.
• Develop AI agents/workflows using LangGraph, LangChain, Claude/SDKs, OpenAI SDKs.
• Apply prompt engineering, structured outputs, and tool calling in workflows.
• Create APIs/connectors between AI apps and enterprise systems.
• Produce reusable patterns, templates, and developer examples.
• Develop automated tests to measure quality, grounding, safety, and performance.
• Troubleshoot issues and support teams from prototype to production.
• Collaborate with AI platform teams to follow governance and security standards.
• Stay current with AI tech and apply to business use cases.

Skills

Python

APIs & integrations

LLMs & prompt engineering

AI frameworks

MCP & AI gateways

CI/CD & GitHub

Cloud (Azure/AWS)

Tool orchestration/agent workflows

Communication

Problem solving

Tools

LangGraph

LangChain

Claude Code SDK

OpenAI SDK

Azure

AWS

Kubernetes

Job description

Key Responsibilities

• Work with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
• Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption.
• Build and enhance AI-powered applications, copilots, assistants, and agentic workflows.
• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques.
• Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies.
• Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns.
• Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows.
• Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
• Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance.
• Troubleshoot implementation issues and support application teams as prototypes and reference solutions transition toward production.
• Collaborate with firmwide AI platform teams to use foundational AI capabilities and follow enterprise engineering, security, governance, and Responsible AI standards.
• Stay current with emerging AI technologies and apply relevant tools and techniques to business use cases.

Role Overview and Expectations

Applied AI engineers are hands-on developers who work collaboratively with business and technology

teams to accelerate the implementation of Generative AI use cases

Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities

with existing applications, and provide practical implementation support to sponsoring application

development teams.

Success in this role requires solid software engineering fundamentals, practical experience with AI

application development, strong problem-solving skills, and the ability to communicate clearly and work

effectively across teams.

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 modern 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.

Preferred Qualifications

• Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
• Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
• Exposure to multi-agent systems and agent orchestration workflows.
• Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
• Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
• Experience working in financial services or another regulated industry.

SINECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.