Agentic & Generative AI Developer

Sutherland
Chennai
Workplace: RemoteFull timeFunction: Software EngineeringSkills: ["Delivery","Debugging","Troubleshooting"]

Build and deliver agentic and generative AI solutions end to end, from translating architectural designs into prototypes and production services to optimizing pipelines and model performance. Develop GenAI applications including RAG workflows and agent-based systems using frameworks such as LangChain and LangGraph, and deploy scalable services on AWS, Azure, or GCP. Own day-to-day AI project execution, code reviews, reusable components, and troubleshooting performance bottlenecks.

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FursaFursa
Sutherland
Sutherland
1 day ago

Agentic & Generative AI Developer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and deliver agentic and generative AI solutions end to end, from translating architectural designs into prototypes and production services to optimizing pipelines and model performance. Develop GenAI applications including RAG workflows and agent-based systems using frameworks such as LangChain and LangGraph, and deploy scalable services on AWS, Azure, or GCP. Own day-to-day AI project execution, code reviews, reusable components, and troubleshooting performance bottlenecks.
Location: Chennai
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop, test, and manage day-to-day execution of AI projects to ensure timely delivery, quality, and alignment to architectural design.
  • •Translate architectural blueprints into executable components, prototypes, and production-ready services.
  • •Develop GenAI applications including RAG pipelines and agent-based solutions using LangChain, LangGraph, and Google ADK.
  • •Perform data preprocessing, feature engineering, and model optimization, and optimize performance of existing agentic AI models and pipelines.
  • •Deploy and scale models using AWS, Azure, or GCP; review code, enforce engineering best practices, and debug performance bottlenecks.

Key Requirements

  • •Strong proficiency in AI/ML engineering or software development using Python and its frameworks.
  • •Experience delivering projects using GenAI, LLMs, or Transformer models and agentic AI solutions.
  • •Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
  • •Exposure to vector databases and RAG architectures for enterprise knowledge retrieval, including MCP and agent-to-agent communication.
  • •Familiarity with CI/CD pipelines, Docker, and Kubernetes for AI model deployment.
Experience:AI/ML engineeringGenAILLMsAgentic AIRAG
Skills:DeliveryDebuggingTroubleshooting
Languages:English
Tech Stack:PythonLangChainLangGraphGoogle ADKGenAILLMsTransformer modelsRAGVector databasesMCPSQLNoSQLData warehousingCI/CDDockerKubernetesAWSAzureGCP

Company Brief

Sutherland
Global digital transformation and business process services firm offering AI, automation, cloud engineering, analytics and customer experience solutions to enterprises across industries.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Pittsford (Rochester), NY, United States
Founded: 1986
Glassdoor
Glassdoor: 3.5
WebsiteLinkedInGlassdoor