AI Automation Engineer

Job Profile:

Banyan is seeking a skilled AI Automation Engineer to join our Tech & Data Strategy team in Chennai. The ideal candidate excels in Python, has hands-on experience with language models, and a strong personal interest in AI, staying up to date with the latest developments. This position is perfect for those passionate about using AI and automation to evolve enterprise processes, while being adept at navigating complex challenges and integrating systems within a collaborative team setting. You'll be responsible for designing and deploying AI-powered workflows—building intelligent automations through tools like N8N, integrating models and APIs, and ensuring reliable, scalable data flows across systems. Working closely with the onshore team in Canada/US, you will become an analytical change agent and have broad exposure to our business as you help us identify and roll out AI-driven automations that accelerate processes across M&A and Business Development. If you're driven by data, thrive on solving problems, and are excited by the idea of working in a startup-like environment that values innovation, we invite you to join Banyan in Chennai.

Responsibilities:

1. AI Design & Implementation: Architect, develop, and deploy AI solutions for our BD and M&A teams using advanced language models (e.g., GPTs), including prompt design, fine-tuning, and integration with enterprise systems.
2. Automation & Integration Workflows: Design, build, and maintain workflow automations using N8N to connect AI models, APIs, and enterprise systems (e.g., Salesforce, Snowflake, G-Drive). Optimize process automation and ensure reliability, scalability, and error handling across integrations.
3. AI Application Development: Analyze data and develop bespoke AI applications that enhance decision-making and automate complex business processes using OpenAI APIs and other model frameworks.
4. Optimization & Governance: Continuously monitor performance, implement optimizations, and ensure AI models remain accurate, compliant, and efficient in production.
5. Collaboration: Partner effectively with cross-functional teams and contribute to a culture of innovation and continuous improvement.

1. Applied Natural Language Processing (NLP): Practical experience using language models for tasks such as summarization, information extraction, and data enrichment within automated workflows.
2. Technical Proficiency in AI Systems & Automation: Strong understanding of AI concepts, APIs, and orchestration tools to integrate models and automate processes—experience connecting AI capabilities to real-world business applications using platforms like N8N or similar.
3. N8N Expertise: Proven experience in building and managing workflow automations in N8N, including API integrations, webhook configurations, and error-handling logic to orchestrate multi-system data flows.
4. LLM Integration Experience: Demonstrated ability to integrate and deploy large language models (e.g., OpenAI, Anthropic, Google) into production environments to power intelligent workflows.
5. Programming Skills: Proficiency in Python and experience with AI libraries and frameworks.
6. Prompt Engineering Skills: Creative and analytical approach to crafting, testing, and refining prompts for optimal model performance and accuracy within automations.
7. Domain Knowledge: Understanding of financial data, company performance and research processes to support AI-driven initiatives across M&A and BD workflows.
8. Analytical Skills: Ability to evaluate AI outputs and feedback to iteratively improve automation quality and performance.
9. Communication Skills: Strong written and verbal communication skills for effective collaboration and clear documentation.
10. Education: Bachelor's degree in Computer Science, Data Science, or a related field preferred; experience with financial or M&A data is an asset.