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Orcapod Consulting Services

Agentic AI Engineer

Orcapod Consulting Services

Pune, Maharashtra, India · Kontrak

Jadilah yang pertama mendaftar

Pengalaman
7–8 yrs
Gaji
INR 1,500,000 – INR 1,600,000 / year
Lowongan
1
Diposting
3 jam yang lalu
Mode kerja
Di kantor
Pendidikan
Lulusan mana pun
Kelayakan
Open to any graduate applicants.
Melanjutkan
Wajib mendaftar

Tempat Anda akan bekerja

Deskripsi pekerjaan

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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