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Orcapod Consulting Services

Agentic AI Engineer

Orcapod Consulting Services

Pune, Maharashtra, India · Договор

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Опыт
7–8 yrs
Зарплата
INR 1,500,000 – INR 1,600,000 / year
Открытия
1
Опубликовано
5 часов назад
Режим работы
В офисе
Образование
Любой выпускник
Критерии отбора
Open to any graduate applicants.
Резюме
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Где вы будете работать

Описание работы

About the Role

Orcapod Consulting Services is searching for an experienced Agentic AI Engineer to join their team on a contract basis in Pune. This role focuses on designing, developing, and deploying autonomous AI systems capable of sophisticated reasoning, planning, decision-making, and executing intricate business workflows. The incumbent will work with Large Language Models (LLMs), orchestration frameworks, and cloud-native architectures to automate diverse business processes.

Key Responsibilities

  • Create AI agents that autonomously manage various tasks across organizational processes.
  • Develop multi-agent frameworks incorporating planning, memory, reasoning, and tool-utilization features.
  • Integrate major LLMs like GPT, Claude, Gemini, and Llama with enterprise software and APIs.
  • Implement orchestration frameworks including LangGraph, AutoGen, CrewAI, Semantic Kernel, and LangChain.
  • Build Retrieval-Augmented Generation (RAG) solutions utilizing vector databases.
  • Establish monitoring, evaluation, and governance protocols for AI agents.
  • Enhance prompts, operational workflows, and model performance to ensure reliability and scalability.
  • Collaborate with internal business teams to identify automation opportunities.
  • Maintain security, compliance, and ethical AI practices in live environments.

Essential Skills and Experience

  • Proficient in Python programming.
  • Hands-on experience with Large Language Models, Generative AI, and Agentic AI frameworks.
  • Knowledgeable about RAG, embeddings, and vector databases such as Pinecone, Weaviate, Chroma, and Azure AI Search.
  • Experienced in API integrations, microservices architecture, and cloud environments including Azure, AWS, or GCP.
  • Familiar with prompt engineering, AI model evaluation, and fine-tuning techniques.
  • Competent with Docker, Kubernetes, CI/CD pipelines, and MLOps methodologies.
  • Strong analytical and problem-solving abilities.

Additional Information

  • Location: Pune, India
  • Experience Required: 7-8 years
  • Employment Type: Contract
  • Immediate joining candidates preferred
  • Eligibility: Any graduate can apply

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