Prompt Engineer
ClickPost · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹1,500,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Own AI voice agent lifecycle and prompt optimization.
- Design and refine prompt flows for various use cases.
- Implement behavioral guardrails and evaluation frameworks.
- Analyze data to drive prompt-level improvements.
- Collaborate across teams to integrate AI solutions.
About the role
Prompt Engineer
ClickPost is seeking a Prompt Engineer with 2-5 years of experience to join our Product team in Bangalore. This is a full-time, in-office position.
About ClickPost
Established in 2015, ClickPost is Asia's largest Logistics Intelligence Platform, partnering with major companies like Walmart, Nykaa, Meesho, and Adidas to enhance post-purchase customer experiences. We have been profitable for five years, experiencing 2x year-on-year growth, and are backed by prominent investors. We operate at the cutting edge of technology, handling enormous scale, and are highly respected in the Indian SaaS and e-commerce landscape. Our culture is built on core values of transparency, continuous learning, ownership, and speed, fostering a dynamic environment with significant learning opportunities, supported by team members who are often ex-startup founders.
About the Role
As a Prompt Engineer, you will own the complete lifecycle of AI voice agents. Your responsibilities will include designing and optimizing prompt flows to drive customer conversations across various use cases. This role is at the confluence of product, AI, and operations, requiring continuous refinement of agent behavior through data, evaluation frameworks, and real-world feedback. If you thrive on solving challenges related to clarity, control, and scale in AI systems, this is your opportunity to build and deliver impact rapidly.
Key Responsibilities
- Own and drive the end-to-end lifecycle of AI Voice Agents at ClickPost, from prompt design and flow creation to deployment, evaluation, and continuous optimization.
- Design, refine, and optimize prompt flows for multiple agent use cases (NDR, Order Confirmation, NPR, NPS, Inbound Support), ensuring clarity, brevity, tone alignment, and objective completion.
- Build and enforce behavioral guardrails for agents, including tone control, hallucination prevention, fallback handling, and edge-case management (e.g., emotional users, repetitive intents, interruptions).
- Define and implement a modular evaluation framework for AI agents across pre-call (prompt quality, edge-case readiness), live-call (response accuracy, sentiment handling), and post-call (intent fulfilment, outcome tracking) stages.
- Leverage “LLM as a Judge” frameworks and transcript analysis to automate evaluation and continuously improve agent performance.
- Analyze call logs, transcripts, and performance metrics to identify failure points (e.g., STT errors, drop-offs, misalignment) and drive prompt-level improvements.
- Own and maintain a centralized prompt library, documentation, and version-controlled playbooks for all agents.
- Develop new AI agent use cases and flows (e.g., NPR, NPS, inbound support), including prompt design for edge cases and real-world scenarios.
- Enable multilingual capabilities for agents (Tier 2/3 languages), including prompt localization, validation, and mid-call language switching.
- Collaborate closely with Product, Engineering, Data, and Operations teams to integrate prompt logic into production systems and improve overall system performance.
- Support client-specific customizations by adapting agent tone, behavior, and flows based on brand requirements (D2C, enterprise, luxury, etc.).
- Continuously explore and experiment with new LLM models, prompting techniques, and AI capabilities to improve agent quality and efficiency.
- Contribute to building organization-wide frameworks for designing, scaling, and monitoring AI agent products across use cases.
Skills & Qualifications
- 2–5 years of experience in prompt engineering, AI product development, conversational AI, or related roles in a SaaS / tech environment.
- Strong understanding of LLMs, prompt design techniques, and context engineering for generating reliable and high-quality outputs.
- Experience working with AI tools, voice agents, chatbots, or automation workflows in real-world use cases.
- Strong analytical and problem-solving skills; ability to evaluate model outputs, identify gaps, and iteratively improve performance.
- Comfortable working with technical concepts like APIs, webhooks, logs, transcripts, and evaluation metrics (coding not mandatory but preferred).
- Strong written and verbal communication skills with high attention to detail and clarity.
- Ability to work in a fast-paced, ambiguous environment with high ownership and end-to-end responsibility.
Nice to Have
- Experience working on voice-based AI agents or conversational AI systems.
- Familiarity with evaluation frameworks, LLM-based grading (“LLM as a judge”), or automated testing systems.
- Exposure to multilingual AI systems or regional language adaptation.
- Experience in building AI-driven workflows, automation tools, or internal productivity systems.
- Prior experience in logistics, e-commerce, or customer experience domains.
What You’ll Learn
- How to build and scale production-grade AI voice agents across multiple real-world use cases.
- How to design robust prompt systems with guardrails, evaluation layers, and continuous optimization loops.
- How to translate complex business workflows into AI-driven conversational experiences.
- How to build organization-wide frameworks for AI product development, evaluation, and monitoring.
- How to work closely with enterprise clients and build highly personalized, high-impact AI solutions.
What You Can Expect
- Ownership and autonomy: You will have immense ownership and responsibility. You own and drive the execution.
- Culture: We value velocity in all things we do. You would be expected to move fast, experiment and be updated with the newest technologies. We give a lot of ownership to our people. There is no micro-management, and you would be expected to own projects end to end. We have seen people grow super-fast at ClickPost when they focus on the impact of the work, are detailed in their way of working and are willing to take risks. Our team thrives on transparency.
- Compensation: We offer a competitive salary with a performance bonus.
- Benefits (for full-time roles): Health insurance, Generous vacation policy, Learning and development budget, Team events and company offsite, Company laptop and devices, Maternity and paternity benefits.
Why join ClickPost?
Our vision is to revolutionize the post-purchase experience for e-commerce companies globally. We operate in a fast-growing market and recently raised $6 million in a funding round led by Inflexor Ventures and Athera Venture Partners. This investment will fuel our growth, platform scaling, and product enhancement. You can read more about our latest funding here. With this funding, we are set for rapid expansion and to further solidify our leadership in the logistics and e-commerce sectors, driving innovation and operational excellence.
Key skills/competency
- Prompt Engineering
- AI Voice Agents
- Conversational AI
- LLM
- Prompt Design
- Evaluation Frameworks
- Data Analysis
- SaaS
- Product Development
- Voice Agents
Skills & topics
- Prompt Engineer
- AI
- LLM
- Conversational AI
- Voice Agents
- Prompt Design
- SaaS
- Product Development
- AI Product
- Tech
How to get hired
- Tailor your resume: Highlight prompt engineering, AI, and conversational AI experience relevant to ClickPost's needs.
- Showcase AI skills: Emphasize your understanding of LLMs, prompt design, and voice agents.
- Quantify achievements: Use data to demonstrate impact in previous AI product roles.
- Research ClickPost: Understand their logistics tech and customer experience focus.
- Prepare for technical questions: Be ready to discuss LLM concepts and prompt optimization strategies.
Technical preparation
Study LLM architectures and prompt engineering techniques.,Practice designing prompts for voice agent use cases.,Familiarize yourself with evaluation metrics and frameworks.,Understand conversational AI principles and chatbot design.
Behavioral questions
Describe a complex AI problem you solved.,How do you handle ambiguity and fast-paced environments?,Give an example of taking end-to-end ownership.,How do you collaborate with engineering and product teams?
Frequently asked questions
- What are the primary responsibilities of a Prompt Engineer at ClickPost?
- As a Prompt Engineer at ClickPost, your primary responsibilities include owning the end-to-end lifecycle of AI voice agents, from prompt design and flow creation to deployment, evaluation, and continuous optimization. You'll also be responsible for building behavioral guardrails, defining evaluation frameworks, analyzing performance data, and collaborating with cross-functional teams.
- What level of experience is required for the Prompt Engineer role at ClickPost?
- ClickPost is looking for a Prompt Engineer with 2-5 years of experience in prompt engineering, AI product development, conversational AI, or similar roles within a SaaS or tech environment.
- Is coding experience mandatory for the Prompt Engineer position at ClickPost?
- While coding experience is not mandatory, it is preferred for the Prompt Engineer role at ClickPost. Comfort working with technical concepts like APIs, webhooks, logs, transcripts, and evaluation metrics is expected.
- What kind of AI tools and systems will I work with as a Prompt Engineer at ClickPost?
- You will work with AI tools, voice agents, chatbots, and automation workflows. Experience with LLMs, prompt design techniques, and context engineering is crucial. Familiarity with LLM-based grading ('LLM as a Judge') and evaluation frameworks is also beneficial.
- Does ClickPost offer opportunities for learning and development for its Prompt Engineers?
- Yes, ClickPost emphasizes continuous learning and offers a learning and development budget for full-time employees. You will learn how to build and scale production-grade AI voice agents, design robust prompt systems, and translate business workflows into AI-driven experiences.
- What is the work environment like at ClickPost for a Prompt Engineer?
- ClickPost fosters a dynamic culture with core values of transparency, continuous learning, ownership, and speed. The environment is fast-paced, offers immense ownership and autonomy with no micro-management, and encourages experimentation and rapid growth based on impact.
- What are the key technologies and concepts a Prompt Engineer should be familiar with at ClickPost?
- Key technologies and concepts include Large Language Models (LLMs), prompt design techniques, context engineering, AI voice agents, conversational AI, evaluation frameworks, and data analysis of logs and transcripts. Familiarity with APIs, webhooks, and common SaaS/tech environments is also important.
- How does ClickPost approach AI agent evaluation and improvement?
- ClickPost employs a modular evaluation framework for AI agents, covering pre-call, live-call, and post-call stages. They leverage 'LLM as a Judge' frameworks and transcript analysis to automate evaluation, identify failure points from call logs and metrics, and drive prompt-level improvements.