Python Agentic Ai Developer Agentic Ai Architect Sapient Publicissapient Pune Gurugram Bengaluru
Works directly with GenAI/LLM APIs, prompt engineering and agent-based patterns—closely aligned with vibe coding and building agentic AI prototypes.
About the Role
Join Publicis Sapient as a Python-focused Agentic AI Developer/Architect to design and deliver end-to-end GenAI pilot implementations and agentic AI solutions for enterprise customers, integrating LLMs with backend services, enterprise systems, and basic frontend demos to accelerate platform adoption and demonstrate value.
Job Description
Role
A customer-facing engineering role focused on building rapid, high-impact pilot and proof-of-value deployments of an AI platform that enables agentic AI, conversational agents, and context-aware automation. The team works closely with customers to translate business and technical problems into demonstrable AI use cases and to accelerate platform adoption.
Key Responsibilities
- Work directly with customers to understand problems and define pilot use cases.
- Design and build end-to-end pilot deployments on short timelines.
- Develop backend services, integrations, and workflows to support demo and pilot scenarios.
- Leverage GenAI / LLM capabilities (APIs, prompts, embeddings, agent patterns) to implement intelligent use cases.
- Integrate the platform with enterprise systems (ITSM, observability, CRM, ERP) via REST APIs or ESB.
- Build or modify basic frontend components to support demos and customer workflows.
- Collaborate with Product Engineering to feed pilot learnings back into the platform.
- Support customer conversations by explaining architecture, tradeoffs, and business value.
Impact
- Deliver consistent, scalable enterprise user experiences and improved product adoption.
- Drive stronger UX maturity and user-centered culture within client organizations.
Requirements
- Hands-on backend development experience using Python.
- Experience with GenAI technologies and LLM APIs (e.g., Claude, OpenAI, Azure OpenAI).
- Basic understanding of prompt engineering, RAG, and agent-based patterns.
- Experience building integrations with enterprise systems (ITSM, CRM, ERP), databases, data pipelines, or messaging systems via REST APIs/ESB.
- Familiarity with cloud services (AWS, Azure, or GCP) and cloud-native architectures (microservices, containers).
- Exposure to DevOps practices (CI/CD, infrastructure as code) and observability.
- Frontend familiarity with JavaScript and React to read/modify/basic UI build.
- Strong debugging and problem-solving skills in ambiguous, customer-facing environments.
- Prior customer-facing engineering or support experience (solutions engineering, SRE, platform engineering, AMS/IMS).
Education & Certifications
- Bachelor’s degree in Engineering or related field.
- Certifications in Cloud, AI, UI, Design, or Enterprise Architecture are a plus.
Team & Context
- Small, forward-deployment team focused on piloting AI-driven automation and agentic AI for enterprise IT operations and other domains.