Technical Specialist

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Mjukvaruutveckling

I korthet

Design and lead end-to-end agentic AI architectures for enterprise-scale GenAI solutions using frameworks like LangChain and LangGraph. Develop high-performance Python systems, manage vector databases, and lead prompt engineering for complex agent workflows, ensuring security and responsible AI standards.

Ansvarsområden

  • Design and lead end-to-end agentic AI architectures for enterprise-scale GenAI solutions.
  • Architect and implement multi-agent systems using frameworks such as LangChain, LangGraph, and Google ADK.
  • Drive advanced RAG architectures, including chunking strategies, retrieval optimization, and grounding techniques.
  • Own LLM strategy and model selection, balancing accuracy, cost, latency, and compliance.
  • Develop high-performance Python systems with strong system design and scalability principles.
  • Optimize and manage vector databases for large-scale semantic search and retrieval workloads.
  • Lead advanced prompt engineering and orchestration patterns for complex agent workflows.
  • Design API-first, microservices-based architectures for AI platforms and integrations.
  • Implement LLM evaluation frameworks to measure quality, reliability, and drift.
  • Ensure Security, Responsible AI, and governance standards are embedded across solutions.
  • Architect, design, and develop solutions for product/project & sustenance delivery.
  • Support as an SME.
  • Ensure knowledge up-gradation and work with new technologies to ensure the solution is current and meets quality standards and client requirements.
  • Train and develop the team to ensure an adequate supply of trained manpower in the said technology and mitigate delivery risks.
  • Gather specifications and deliver solutions to the client organization based on an understanding of a domain or technology.
  • Review project deliverables.
  • Recommend client value creation initiatives and implement industry best practices (on specific technology/product).

Krav

  • Strong system design and scalability principles.
  • High-performance Python development.
  • Experience with vector databases for large-scale semantic search and retrieval workloads.
  • Expertise in advanced prompt engineering and orchestration patterns for complex agent workflows.
  • Experience designing API-first, microservices-based architectures for AI platforms and integrations.
  • Experience implementing LLM evaluation frameworks.
  • Knowledge of Security, Responsible AI, and governance standards.

Önskade kvalifikationer

  • Experience with frameworks such as LangChain, LangGraph, and Google ADK.
  • Experience with advanced RAG architectures, including chunking strategies, retrieval optimization, and grounding techniques.
  • Experience owning LLM strategy and model selection.
  • Experience in architecting, designing, and developing solutions for product/project & sustenance delivery.
  • Experience supporting as an SME.
  • Experience ensuring knowledge up-gradation and working with new technologies.
  • Experience training and developing teams.
  • Experience gathering specifications and delivering solutions to client organizations.
  • Experience reviewing project deliverables.
  • Experience recommending client value creation initiatives and implementing industry best practices.

Förmåner

  • Supercharge your potential.
  • Find your career.
  • Find your spark.
#AI#GenAI#LLM#Python#RAG#LangChain#LangGraph#vector databases#prompt engineering#microservices#API
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Företag

HCLTech

Publicerade jobb

för 3 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Pune, India

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