Python Gen AI

Synechron; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Synechron in Bengaluru (Bellandur) seeks an Applied AI Engineer to translate Generative AI use cases into production-grade software. You will prototype, integrate, and orchestrate AI capabilities with enterprise systems, data platforms, and APIs, building copilots, agents, and RAG-based solutions while adhering to governance and security standards.

You will collaborate with business and tech stakeholders, design reusable components, write tests, and stay current with AI advances, delivering

Qualifications

• 3 to 5 years of software engineering with hands-on application development responsibilities.
• 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, or intelligent automation solutions.
• Proficiency in Python and experience building APIs, integrations, and enterprise applications.
• Working knowledge of LLMs, prompt engineering, embeddings, vector databases, semantic search, RAG, and AI application patterns.
• Hands-on experience with AI development frameworks such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar.
• Familiarity with MCP, AI gateways, agent-to-agent communication, or tool-calling frameworks.
• 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 for AI solution quality, safety, reliability, and performance.
• Awareness of Responsible AI principles, governance, security controls, and data protection requirements.

Responsibilities

• Work with stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
• Develop proofs of concept, prototypes, and reference applications.
• Build and enhance AI-powered applications, copilots, assistants, and agentic workflows.
• Implement RAG solutions using repositories, vector databases, embeddings, and semantic search.
• Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, or OpenAI SDK.
• Implement prompt engineering, structured outputs, tool calling, and workflow orchestration patterns.
• Build APIs, connectors, and integrations with enterprise systems and data platforms.
• Create reusable components, templates, and developer examples to accelerate AI delivery.
• Develop automated tests and evaluation capabilities to measure quality, grounding, reliability, safety, and performance.
• Collaborate with AI platform teams to follow enterprise engineering, security, governance, and Responsible AI standards.

Skills

Python

APIs

LLMs

LangChain

RAG

Embeddings

Vector databases

Tools

LangGraph

Claude Code SDK

OpenAI SDK

Azure/AWS

Job description

## Python Gen AIApply: Bengaluru - Bellandur (GTP): Full time: Posted Today: JR1044928Key Responsibilities• Work with business and technology stakeholders to understand Generative AI use cases andtranslate requirements into practical implementations.• Develop proofs of concept, prototypes, and reference applications that demonstrate businessvalue and accelerate AI adoption.• Build and enhance AI-powered applications, copilots, assistants, and agentic workflows.• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledgerepositories, 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, contextmanagement, and workflow orchestration patterns.• Build APIs, connectors, and integrations between AI applications and enterprise systems, dataplatforms, and business workflows.• Create reusable components, templates, implementation patterns, and developer examples thathelp 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 referencesolutions transition toward production.• Collaborate with firmwide AI platform teams to use foundational AI capabilities and followenterprise engineering, security, governance, and Responsible AI standards.• Stay current with emerging AI technologies and apply relevant tools and techniques to businessuse cases.Role Overview and ExpectationsApplied AI engineers are hands-on developers who work collaboratively with business and technologyteams to accelerate the implementation of Generative AI use casesTeam members participate in discovery discussions, build and test prototypes, integrate AI capabilitieswith existing applications, and provide practical implementation support to sponsoring applicationdevelopment teams.Success in this role requires solid software engineering fundamentals, practical experience with AIapplication development, strong problem-solving skills, and the ability to communicate clearly and workeffectively across teams.Required Qualifications• 3 to 5 years of software engineering experience with hands-on application developmentresponsibilities.• 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AIagents, 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, vectordatabases, semantic search, Retrieval-Augmented Generation (RAG), and common AIapplication 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, ortool-calling frameworks.• Experience implementing AI agents, orchestration workflows, tool integrations, or agenticapplications.• 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 dataprotection requirements.• Experience with GitHub, CI/CD pipelines, containers, and modern software engineeringpractices.• 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 translaterequirements into working software.• Strong communication, collaboration, and problem-solving skills.Preferred Qualifications• Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceXGrok 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, MicrosoftGraph, Databricks, Snowflake, or similar enterprise platforms.• Familiarity with Kubernetes, containerized application deployment, and cloud-nativearchitectures.• Experience working in financial services or another regulated industry.***S******YNECHRON’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.