Tech Lead – Gen AI

Gradious

Hyderabad

On-site

INR 3,000,000 - 6,000,000

Full time

14 days+

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Job summary

Gradious is seeking a highly skilled Tech Lead with deep expertise in Agentic AI to drive end-to-end AI agent development for business applications. You will architect, build, deploy, and optimize conversational AI agents and intelligent automation workflows.

Lead cross-functional teams, integrate LLMs across cloud platforms, and ensure scalable, secure deployments while staying ahead of AI/ML best practices. 6–14 years of experience preferred.

Qualifications

  • Strong experience in MERN stack with API development & integration.
  • Proven expertise in building and deploying Conversational AI agents or chatbots.
  • Deep knowledge of LLMs, Prompt Engineering, Fine-tuning, and Embeddings.
  • Experience with cloud AI services (AWS, GCP, Azure) and scalable deployment.
  • Familiarity with workflow automation platforms and agent orchestration.
  • Excellent communication and leadership skills.

Responsibilities

  • Design, architect, and develop advanced Conversational AI agents and automation workflows.
  • Build, deploy, and optimize AI agents using leading AI platforms.
  • Integrate and fine-tune LLMs and AI models to deliver scalable solutions.
  • Collaborate with cross-functional teams to translate business needs into AI-powered solutions.
  • Lead end-to-end lifecycle of AI agent development from requirements to deployment.
  • Ensure security, scalability, and reliability of deployed AI agents.
  • Stay up-to-date with latest AI/ML frameworks, tools, and best practices.

Skills

MERN stack with API development
Python and libraries
Conversational AI / chatbots
LLMs / Prompt Engineering
Cloud AI services (AWS, GCP, Azure)
Workflow automation / agent orches
Communication & leadership

Education

BE / B.Tech / MS / M.Tech / MCA with Computer Science Background

Tools

Kore.ai
n8n
AgentForce
DialogFlow
AutoGen
Vertex
OpenAI
Google Vertex AI
Microsoft Azure AI
Amazon Bedrock
Anthropic Claude
Hugging Face

Job description

About the Role

We are seeking highly skilled Tech Lead with deep expertise in Agentic AI and the end-to-end development of AI agents for business applications. In this pivotal role, you will drive the design, implementation, and optimization of Conversational and Intelligent AI Agents that automate, enhance, and transform business processes across the organization.

Key Responsibilities
  • Design, architect, and develop advanced Conversational AI agents and intelligent automation workflows.
  • Build, deploy, and optimize AI agents using leading AI platforms (e.g.,Kore.ai, n8n, AgentForce, DialogFlow, AutoGen, Vertex).
  • Integrate and fine-tune LLMs and AI models (e.g., OpenAI, Google Vertex AI, Microsoft Azure AI, Amazon Bedrock, Anthropic Claude, Hugging Face) to deliver scalable solutions.
  • Collaborate with cross-functional teams to understand business needs and translate them into AI-powered automation solutions.
  • Lead the end-to-end lifecycle of AI agent development - from requirement analysis to deployment and monitoring.
  • Ensure security, scalability, and reliability of deployed AI agents.
  • Stay up-to-date with the latest AI/ML frameworks, tools, and industry best practices.
Qualifications & Skills
  • Strong experience inMERN stack with API development & integration.
  • Experience usingPython and its libraries
  • Proven expertise in building and deploying Conversational AI agents, chatbots, or intelligent automation systems.
  • Deep knowledge of LLMs, Prompt Engineering, Fine-tuning, and Embeddings.
  • Experience with cloud AI services (AWS, GCP, Azure) and scalable deployment frameworks.
  • Familiarity with workflow automation platforms and agent orchestration.
  • Strong problem-solving skills with the ability to design business-driven AI solutions.
  • Excellent communication and leadership skills.
  • BE / B.Tech / MS / M.Tech / MCA with Cimputer Science Background
  • Experience: 6 to 14 years
Good to Have
  • Experience in vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Exposure to MLOps and CI/CD for AI solutions.
  • Prior work in domain-specific AI agent development (finance, healthcare, customersupport,etc.).
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