Live opening · Posted 3 days ago
AI / ML Engineer - RDE
Accenture · Bangalore | Gurgaon | Pune
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At a glance
The key details from the original listing.
CompanyAccenture
LocationBangalore | Gurgaon | Pune
Experience5-9 yrs
Source
Instahyre
Listed3 days ago
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About the role
Description supplied by the original job listing.
We are looking for experienced AI/ML Engineers with strong Python expertise to build and deploy enterprise-grade agentic AI and GenAI solutions. The role involves developing intelligent agents, integrating LLM-based applications with enterprise platforms, and implementing scalable AI solutions across cloud-native environments.
Responsibilities:
Design and develop Agentic AI / GenAI applications using Python.
Build and integrate LLM-powered agents, RAG pipelines, and AI workflows.
Develop prompt engineering, tool/function calling, and agent orchestration solutions.
Build and integrate REST APIs and enterprise applications/platforms.
Deploy AI solutions on AWS / Azure / GCP cloud platforms.
Implement CI/CD, DevOps, and cloud-native deployment practices.
Develop testing frameworks and perform AI/LLM application validation.
Implement observability, monitoring, logging, and performance tracking for AI systems.
Apply security, responsible AI, governance, and access-control practices.
Collaborate with product, engineering, and business teams to deliver enterprise AI solutions.
Requirements:
Candidates should have strong software engineering fundamentals along with practical experience building AI/ML and agentic AI solutions.
Candidates with hands-on experience in taking GenAI/LLM applications from development through integration, deployment, testing, and production monitoring are preferred.
Mandatory Skills:
Strong hands-on Python development experience.
Experience in AI/ML and generative AI.
Hands-on experience with Agentic AI / AI Agents.
Strong understanding of LLMs, prompt engineering, and RAG.
Experience with REST APIs / API integration.
Experience with at least one cloud platform: AWS, Azure, or GCP.
Knowledge of CI/CD and DevOps practices.
Experience with enterprise application/platform integration.
Understanding of AI testing, observability, and monitoring.
Good to Have:
LangChain / LangGraph or similar agentic AI frameworks.
Vector databases and embedding technologies.
LLM APIs such as Azure OpenAI, OpenAI, Amazon Bedrock, or Vertex AI.
Docker / Kubernetes.
MLOps / LLMOps.
AI security, responsible AI, and governance.
Enterprise integration platforms and API gateways.
Experience
5-9 yrs
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