Agentic & Generative AI developer

Sutherland
Chennai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3-7 yearsEducation: bachelorsSkills: ["Coding","Problem-solving","Collaboration"]

Design, build, and deploy production-grade agentic and generative AI applications. Develop and maintain agentic AI workflows using LangChain/LangGraph and related frameworks, convert AI architecture into deployable components, and build RAG pipelines for knowledge retrieval. Handle data preprocessing, feature engineering, and model optimization, collaborate on reusable GenAI modules, and manage cloud deployments across AWS, Azure, or GCP while ensuring reliability and performance.

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FursaFursa
Sutherland
Sutherland
20 hours ago

Agentic & Generative AI developer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 3 days ago

Job Summary

Design, build, and deploy production-grade agentic and generative AI applications. Develop and maintain agentic AI workflows using LangChain/LangGraph and related frameworks, convert AI architecture into deployable components, and build RAG pipelines for knowledge retrieval. Handle data preprocessing, feature engineering, and model optimization, collaborate on reusable GenAI modules, and manage cloud deployments across AWS, Azure, or GCP while ensuring reliability and performance.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop, test, and maintain agentic AI workflows using LangChain, LangGraph, Google ADK, and similar frameworks.
  • •Convert AI architecture into working prototypes and deployable components.
  • •Build and enhance RAG pipelines, agent-based applications, and knowledge retrieval systems.
  • •Perform data preprocessing, feature engineering, and model optimization.
  • •Manage cloud-based deployments on AWS, Azure, or GCP and debug performance/reliability bottlenecks.

Key Requirements

  • •Strong coding background in Python with AI/ML engineering experience.
  • •Proven experience working with LLMs, Transformer models, and agentic AI frameworks.
  • •Experience with prompt engineering, API integration, and model orchestration.
  • •Hands-on RAG experience using vector databases and agent-to-agent communication (MCP).
  • •3–7 years of relevant experience in AI/ML or full-stack AI solution development; Bachelor’s or Master’s in a related field.
Experience:3-7 yearsAI/MLFull-stack AI
Education:Bachelor's in Computer Science, Engineering, or Data Science
Skills:CodingProblem-solvingCollaboration
Languages:English
Tech Stack:PythonLLMsTransformer modelsAgentic AIPrompt engineeringAPI integrationModel orchestrationRAGVector databasesMCPSQLNoSQLData warehousingCI/CDDockerKubernetesLangChainLangGraphGoogle ADKAWS

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
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