Location: Mohali, India
Product: Kickcall.ai
Type: Full-Time | Onsite
About KickCall
KickCall.ai is building an AI-powered receptionist and communication automation platform for small and mid-sized businesses. We help companies manage calls, improve customer experience, and stay connected 24/7 using human-like AI voice assistants.
We’re looking for an AI/ML Researcher who has an entrepreneurial mindset, is deeply curious about emerging AI technologies, and loves experimenting with real-world applications of Generative AI and Machine Learning.
Key Responsibilities
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Stay on top of latest AI/ML tools, models, and APIs — especially advancements from OpenAI, Anthropic, Meta AI, and Google DeepMind.
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Regularly research and summarize new AI/ML research papers, frameworks, and trends that can be applied to KickCall.
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Experiment with new AI and ML techniques and demonstrate proof-of-concepts to the development team.
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Collaborate with product and engineering teams to identify AI-driven improvements in KickCall’s system.
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Build small internal tools, prototypes, or scripts to validate AI research ideas.
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Maintain an AI/ML knowledge base for the company — document what’s new, what’s working, and what’s coming next.
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Participate in brainstorming sessions and support team members in development and integrations.
Key Performance Indicators (KPIs)
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Frequency and quality of AI/ML research updates shared internally.
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Number of practical applications or experiments successfully adopted into the product.
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Ability to identify emerging AI/ML trends before competitors.
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Contribution to AI innovation and optimization across the KickCall platform.
Requirements
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Bachelor’s or Master’s degree or PHD in Computer Science, AI/ML, Data Science, or related fields.
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Strong interest in applied AI/ML research and experimentation.
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Experience with OpenAI API, LangChain, or other LLM-based tools is a plus.
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Excellent communication and presentation skills.
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Entrepreneurial mindset — curious, self-motivated, and solution-oriented.
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Open to learning new technologies and working in a fast-moving startup environment.
Nice to Have
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Prior experience in AI automation, voice AI, or agent-based systems.
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Contributions to open-source AI/ML projects or research papers.
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Familiarity with Python, TensorFlow, PyTorch, or Hugging Face ecosystems.