Computer Scientist ( Python )

Adobe Systems
Noida
Full timeFunction: Research & Scientific (R&D)Experience: 5-8 yearsEducation: bachelorsSkills: ["Technical leadership","Mentorship","Code reviews","Collaboration","System design"]

Architect and deploy production-grade AI systems, bridging GenAI research with scalable software engineering. Lead system architecture for high-availability, secure AI platforms, building agentic workflows and multi-model RAG pipelines with LangChain/LlamaIndex. Optimize LLMs via fine-tuning (LoRA/QoRA) and prompt engineering, and develop high-performance REST or GraphQL APIs (FastAPI/Flask). Own data ingestion, LLMOps/MLOps practices, and production CI/CD using cloud (AWS/Azure/GCP) plus Docker/Kubernetes, while mentoring engineers through code reviews.

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FursaFursa
Adobe Systems
Adobe Systems
11 hours ago

Computer Scientist ( Python )

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Architect and deploy production-grade AI systems, bridging GenAI research with scalable software engineering. Lead system architecture for high-availability, secure AI platforms, building agentic workflows and multi-model RAG pipelines with LangChain/LlamaIndex. Optimize LLMs via fine-tuning (LoRA/QoRA) and prompt engineering, and develop high-performance REST or GraphQL APIs (FastAPI/Flask). Own data ingestion, LLMOps/MLOps practices, and production CI/CD using cloud (AWS/Azure/GCP) plus Docker/Kubernetes, while mentoring engineers through code reviews.
Location: Noida
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead scalable backend system architecture for AI-powered platforms, ensuring high availability and security.
  • •Build and deploy production-scale agentic AI workflows and multi-model RAG pipelines using LangChain or LlamaIndex.
  • •Fine-tune LLMs using LoRA/QoRA and apply prompt engineering to improve model accuracy and efficiency.
  • •Develop high-performance RESTful or GraphQL APIs (FastAPI or Flask) to integrate AI models with enterprise applications.
  • •Implement data ingestion/preprocessing and LLMOps practices such as model versioning, monitoring, and CI/CD; mentor junior developers and perform code reviews.

Key Requirements

  • •Expert-level Python experience (typically 5-8+ years), including asyncio and OOP/build patterns.
  • •Deep experience implementing GenAI systems using frameworks such as LangChain or LlamaIndex, and libraries including LangGraph or CrewAI.
  • •Hands-on vector search with vector databases such as Pinecone, Weaviate, or FAISS.
  • •Strong experience deploying AI services to cloud platforms like AWS, Azure, or GCP.
  • •Experience across data engineering and production LLMOps/MLOps with monitoring, versioning, and CI/CD, plus DevOps tooling like Docker and Kubernetes.
Experience:5-8 yearsGenerative AILLM integrationMLOpsAI systemsRAG
Education:Bachelor's in Computer Science, Engineering, or a related STEM field
Skills:Technical leadershipMentorshipCode reviewsCollaborationSystem design
Tech Stack:PythonAsyncioRESTGraphQLFastAPIFlaskLangChainLlamaIndexLangGraphCrewAIHugging FacePyTorchTensorFlowLoRAQLoRAPineconeWeaviateFAISSAWSAzure

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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Glassdoor: 4.0
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