Posted:12 hours ago|
Platform:
On-site
Full Time
Role Overview:
We’re seeking an experienced AI/ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.
Key Responsibilities:
Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generation
Design and maintain workflow automation pipelines that trigger intelligent actions based on AI outputs
Configure and fine-tune agent behavior for tone, escalation logic, and contextual relevance
Collaborate with engineering and product teams to define response logic and escalation paths
Monitor agent performance, ensure reliability, and manage API interactions
Document workflows, integration logic, and fallback strategies in Confluence
Required Skills:
4–5 years of experience in AI/ML engineering or intelligent automation
Strong proficiency in Python for scripting and API orchestration
Experience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)
Familiarity with sentiment analysis, intent classification, and response generation
Workflow orchestration using tools like Airflow, Prefect, or custom schedulers
REST API integration and error handling
Version control using Git, and task management via Jira
Nice to Have:
Exposure to LangChain, Rasa, or other conversational AI frameworks
Experience with LLM prompt engineering and agent chaining
Understanding of ethical AI principles and fallback logic for agent responses
Exposure to Golang and PostgreSQL database
Job Types: Full-time, Permanent
Pay: ₹1,200,000.00 - ₹1,600,000.00 per year
Benefits:
Application Question(s):
Experience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)
Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via Jira
Experience:
Location:
Work Location: In person
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