
Overview
AI Engineer - LLM & Agent Implementation
Type: Full-time (Hybrid) Experience: 3+ years
URGENT HIRING
About Convosight We are a leading generative-AI-based Video Intelligence platform
partnering with 150+ global consumer brands. Our platform combines advanced social
intelligence, community insights, and influencer analytics to drive brand growth strategies
through cutting-edge AI technologies.
Role Overview We're seeking an experienced AI Engineer to design, develop, and implement
intelligent agents to enhance our video intelligence capabilities. The ideal candidate will have
hands-on experience with both closed and open-source LLMs and production-grade agent
implementation.
Technical Requirements
● 2+ years of experience working with LLMs (both closed models like GPT-4, Claude, and
open-source models like Llama, Mistral)
● 1+ year of production-grade agent implementation using frameworks such as
LangChain, CrewAI, n8n, or similar
● 3+ years of software development experience
● Strong Python programming skills
● Experience with orchestration of multiple AI services
● Knowledge of vector databases and embeddings
● Familiarity with prompt engineering and LLM fine-tuning
Key Responsibilities
● Design and implement autonomous AI agents for data processing, analysis, and insight
generation
● Develop production-ready agent workflows for social media and video content analysis
● Optimize prompt strategies and agent architectures for specific business use cases
● Integrate agents with our existing video intelligence platform
● Collaborate with data scientists and backend engineers to enhance agent capabilities
● Evaluate and implement new LLM technologies as they emerge
● Document agent architectures and implementation strategies
Required Skills
● Strong problem-solving abilities and logical thinking
● Experience deploying AI solutions to production environments
● Knowledge of RAG (Retrieval Augmented Generation) techniques
● Understanding of token optimization and cost management for LLMs
● Ability to evaluate and compare different agent frameworks
● Good communication skills for cross-team collaboration
● Experience with monitoring and debugging AI systems
Preferred Experience
● Experience with video content analysis
● Knowledge of social media data structures and APIs
● Familiarity with consumer insights or market research applications
● Background in FMCG/CPG brand analytics
● Experience with AWS services for AI/ML deployment
This role offers the exciting opportunity to build next-generation AI agent systems to transform
how brands understand and engage with consumers across social media and community
platforms.
Job Types: Full-time, Permanent
Pay: Up to ₹1,500,000.00 per year
Benefits:
- Provident Fund
- Work from home
Schedule:
- Day shift
- Fixed shift
- Monday to Friday
Supplemental Pay:
- Joining bonus
- Yearly bonus
Application Question(s):
- Notice Period or Immediate Joiners
Experience:
- AI Engineer: 3 years (Preferred)
- LLM: 2 years (Preferred)
- LangChain, CrewAI, n8n, or similar: 1 year (Preferred)
- Python: 2 years (Preferred)
Work Location: Remote