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India
Direct message the job poster from FutureLeap Search
About the Role
We are looking for an Agent Deployment Manager someone who sits at the intersection of prompt engineering, workflow design, client interaction, and AI-driven problem solving. This is not a traditional role where you must already be an AI expert. Instead, it’s a role for someone who is curious, analytical, detail-oriented, and excited about shaping how organizations in India use LLM agents to achieve real business impact.
You will work closely with the Product, Operations, and Client teams to:
• Understand business problems deeply
• Translate them into structured, effective agent workflows
• Build, test, deploy, and optimize LLM agents
• Continuously monitor their performance and improve outcomes.
Key Responsibilities
1. Agent Workflow Design & Development
• Understand and gather client requirements across industries and problem statements.
• Build end-to-end agent workflows that map to business objectives and user journeys.
• Write, refine, and optimize prompts for LLM-driven conversation, decision-making, and automation.
• Translate ambiguous requirements into structured logic, rules, and safeguards.
2. Testing, QA & Optimization
• Test agent outputs across scenarios, edge cases, and real-world conditions.
• Identify gaps in quality, logic, and user experience.
• Run iterations to improve accuracy, efficiency, and business alignment.
• Benchmark performance and propose improvements using data-driven insights.
3. Deployment & Campaign Launch
• Set up, configure, and launch agent campaigns for clients.
• Collaborate with internal teams to ensure seamless handoff into production.
• Configure rules, integrations, and workflows within Navana’s platform.
• Ensure full readiness before going live — across tools, logic, and client expectations.
4. Performance Monitoring & Continuous Improvement
• Track key KPIs such as completion rates, conversion rates, error rates, and business impact.
• Troubleshoot issues and implement improvements quickly.
• Work with Product and Engineering to build internal systems that maximize agent reliability and outcome delivery.
• Maintain documentation and structured processes for continuous scaling.
5. Client Collaboration & Business Impact Delivery
• Work directly with clients to understand use-cases and align agent behavior with business goals. • Present insights, improvements, and new opportunities for impact.
• Ensure that every deployment is tied to real results: efficiency gains, revenue uplift, cost reduction, or improved CX.
Required Skills & Experience
• 1–3 years of experience in operations, product, engineering, customer success, program management, or any analytical/problem-solving role.
• Experience working with or around AI systems, chatbots, LLM tools, or workflow automations is a strong plus, but not mandatory.
• Mandatory proficiency in Tamil Language.
• Strong communication skills — ability to understand, articulate, and refine requirements.
• Prompt-writing or prompt-engineering experience is a plus.
• Basic understanding of AI/ML concepts (training, prompts, evaluation, hallucinations, feedback loops).
• Analytical mindset; ability to diagnose issues quickly and logically.
• Attention to detail and comfort working in fast-paced environments.
• Familiarity with one or more Indian languages is preferred (to help build and test multilingual agents).
Tools & Capabilities
• Basic familiarity with LLM tools (ChatGPT, Claude, Gemini, etc.)
• Comfortable learning workflow or automation platforms.
• Ability to write clear documentation, test cases, and prompt libraries.
• Understanding of dashboards, error logs, or KPI trackers is a plus.
Personal Attributes
• High Ownership: You take responsibility for outcomes, not just tasks.
• Systems Thinker: You look for ways to improve reliability, automation, and internal processes.
• Problem Solver: You enjoy breaking down complex requirements into structured workflows.
• Curious & Fast Learner: You’re excited about mastering AI tools and experimenting with them.
• Detail-Oriented: You notice inconsistencies and resolve them proactively.
• Impact-Driven: You care about delivering measurable results to clients.
• Collaborative: You work smoothly with Product, Engineering, and Client teams.
• Startup Mindset: You adapt quickly, iterate fast, and stay resilient.
