AI Automation Engineer

• 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-powe'red 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 MA and Business Development

1. AI Design Implementation:

   Architect, develop, and deploy AI solutions for our BD and MA teams using advanced language models (eg, 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 (eg, 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.

Qualifications for Success

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 (eg, 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 MA 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:

    bachelors degree in Computer Science, Data Science, or a related field preferred; experience with financial or MA data is an asset