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

• Stay on top of latest AI/ML tools, models, and APIs — especially advancements from OpenAI, Anthropic, Meta AI, and Google DeepMind.
• Regularly research and summarize new AI/ML research papers, frameworks, and trends that can be applied to KickCall.
• Experiment with new AI and ML techniques and demonstrate proof-of-concepts to the development team.
• Collaborate with product and engineering teams to identify AI-driven improvements in KickCall’s system.
• Build small internal tools, prototypes, or scripts to validate AI research ideas.
• Maintain an AI/ML knowledge base for the company — document what’s new, what’s working, and what’s coming next.
• Participate in brainstorming sessions and support team members in development and integrations.

Key Performance Indicators (KPIs)

• Frequency and quality of AI/ML research updates shared internally.
• Number of practical applications or experiments successfully adopted into the product.
• Ability to identify emerging AI/ML trends before competitors.
• Contribution to AI innovation and optimization across the KickCall platform.

Requirements

• Bachelor’s or Master’s degree or PHD in Computer Science, AI/ML, Data Science, or related fields.
• Strong interest in applied AI/ML research and experimentation.
• Experience with OpenAI API, LangChain, or other LLM-based tools is a plus.
• Excellent communication and presentation skills.
• Entrepreneurial mindset — curious, self-motivated, and solution-oriented.
• Open to learning new technologies and working in a fast-moving startup environment.

Nice to Have

• Prior experience in AI automation, voice AI, or agent-based systems.
• Contributions to open-source AI/ML projects or research papers.
• Familiarity with Python, TensorFlow, PyTorch, or Hugging Face ecosystems.