Senior Agentic AI Engineer

Goldcast • Events & Ticketing • Python • 4 days ago
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Salary
≈ $23k – $48k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp

First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match

Goldcast

Goldcast is an event management platform that lets B2B marketers and enterprises host interactive virtual events with tools and dashboards to measure the ROI and provide lead qualification insights.
goldcast.io • HQ: New York, United States • Events & Ticketing • 51-200 employees • Est. 2020
Tech stack of Goldcast
Backed by Unusual Ventures, Underscore VC

We are looking for a Senior Agentic AI Engineer with 8-12 years of experience to design, build, and deploy intelligent AI agents and agentic systems. The ideal candidate should have strong hands-on experience in Agentic AI, LLMs, RAG, AI agents, and orchestration frameworks.


Responsibilities:

  • Design and develop Agentic AI systems that can reason, plan, use tools, and complete complex tasks autonomously.
  • Build and deploy AI agents and multi-agent workflows using LLMs.
  • Work with LLMs, RAG pipelines, prompt engineering, tool/function calling, and memory systems.
  • Develop scalable AI solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
  • Integrate AI agents with APIs, databases, enterprise applications, and external tools.
  • Improve agent performance, reliability, accuracy, and response quality.
  • Design evaluation frameworks and monitor AI/agent performance in production.
  • Collaborate with product, engineering, and data teams to convert business problems into AI-driven solutions.
  • Mentor junior engineers and contribute to technical architecture and best practices.


Requirements:

  • 8-12 years of software/AI engineering experience.
  • Mandatory: Strong hands-on experience in Agentic AI / AI Agents.
  • Strong experience with LLMs and Generative AI.
  • Hands-on experience building multi-agent systems and autonomous workflows.
  • Strong knowledge of RAG, embeddings, vector databases, and semantic search.
  • Experience with Prompt Engineering and LLM orchestration.
  • Experience with tool/function calling and API integrations.
  • Strong programming skills in Python.
  • Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
  • Good understanding of AI system architecture, scalability, and production deployment.
  • Experience with cloud platforms such as AWS, GCP, or Azure.

Skills

agentic ai, ai agents, large language model, large language models, llm, llms, python

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