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Ai Solutions Engineer (Telangana)

DuPont

Madhavaram · On-site Full-time Mid Level Today

About the role

About DuPont

At DuPont our purpose is to empower the world with essential innovations to thrive We work on things that matter Whether it s providing clean water to more than a billion people on the planet producing materials that are essential in everyday technology devices from smartphones to electric vehicles or protecting workers around the world Discover the many reasons the world s most talented people are choosing to work at DuPont Why Join Us DuPont Careers

Role Summary

Seeking a hands‑on AI Solutions Engineer to design build and productionize advanced AI solutions that accelerate innovation across businesses and functions This role focuses on engineering scalable AI systems integrating Generative AI and LLMs and deploying robust services into production environments You will work end‑to‑end from evaluating frameworks and building intelligent agents to operationalizing models while collaborating with technical and business stakeholders

Key Responsibilities

  • AI System Engineering Design and implement scalable AI solutions including APIs and microservices for production environments Generative AI LLMs Develop prompts build Retrieval‑Augmented Generation RAG pipelines apply safety controls and evaluate quality Build AI Agents Create intelligent agents for workflows decision support and automation using orchestration frameworks Evaluate Deploy New AI Frameworks and Models Continuously assess emerging AI technologies and integrate them into production systems
  • Data Pipeline Engineering Build and optimize pipelines for data ingestion preprocessing and model training ensure reliability and performance Operationalize AI Implement CI CD monitoring and governance for AI models and services
  • Cross‑Functional Collaboration Partner with R D manufacturing commercial and IT teams to translate business needs into technical solutions
  • Continuous Improvement Drive best practices for reproducibility security and cost efficiency

Required Qualifications

  • Bachelor s degree in Computer Science Engineering or related field
  • 3‑4 years of experience in software development with a focus on AI ML engineering
  • Strong proficiency in Python and experience with AI frameworks e g AutoGen Semantic Kernel AI Agents Framework etc
  • Hands‑on experience with Generative AI and LLMs prompt engineering fine‑tuning RAG
  • Experience deploying AI models and services into production environments with monitoring and logging
  • Familiarity with cloud platforms Azure AWS or GCP
  • Strong problem‑solving skills and ability to work in an agile environment

Preferred Qualifications

  • Experience with Azure services Function Apps AI Foundry AI Search Blob Storage etc
  • Knowledge of MLOps and CI CD for AI workflows
  • Experience with GenAI tools and libraries LangChain Hugging Face
  • Exposure to vector databases and retrieval‑augmented generation RAG
  • Experience building AI agents for workflows or decision support

Talent Community

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Equal Opportunity

DuPont is an equal opportunity employer Qualified applicants will be considered without regard to race color religion creed sex sexual orientation gender identity marital status national origin age veteran status disability or any other protected class If you need a reasonable accommodation to search or apply for a position please visit our Accessibility Page for Contact Information

Compensation and Benefits

DuPont offers a comprehensive pay and benefits package To learn more visit the Compensation and Per

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3‑4 years of software development experience with a focus on AI/ML engineering
  • Strong proficiency in Python
  • Hands‑on experience with AI frameworks such as AutoGen, Semantic Kernel, AI Agents Framework, etc.
  • Experience with Generative AI, LLMs, prompt engineering, fine‑tuning and Retrieval‑Augmented Generation (RAG)
  • Experience deploying AI models and services into production with monitoring and logging
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Strong problem‑solving skills and ability to work in an agile environment

Responsibilities

  • Design and implement scalable AI solutions, including APIs and micro‑services for production environments
  • Develop prompts, build Retrieval‑Augmented Generation (RAG) pipelines, apply safety controls, and evaluate quality of Generative AI/LLM outputs
  • Create intelligent AI agents for workflow automation, decision support, and orchestration using AI‑agent frameworks
  • Continuously evaluate emerging AI frameworks and models and integrate them into production systems
  • Build and optimise data pipelines for ingestion, preprocessing, and model training ensuring reliability and performance
  • Operationalise AI models with CI/CD, monitoring, logging and governance
  • Partner with R&D, manufacturing, commercial and IT teams to translate business needs into technical solutions
  • Drive best practices for reproducibility, security and cost‑efficiency

Benefits

Comprehensive pay and benefits package (details on Compensation and Perks page)

Skills

PythonAI/ML engineeringGenerative AILarge Language Models (LLMs)Prompt engineeringRetrieval‑Augmented Generation (RAG)AI agent developmentAPI designMicro‑servicesCI/CDMLOpsCloud platforms (Azure, AWS, GCP)Data pipeline engineeringMonitoring & logging

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