AI workflow Engineer

Posted 17 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
3-5 Years Experience
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
The AI Workflow Engineer will design, develop, and optimize AI workflows to streamline customer processes. Responsibilities include automating tasks, creating CI/CD pipelines, collaborating with teams, monitoring workflow performance, documenting processes, and implementing improvements based on the latest AI trends.
Summary Generated by Built In

AI Workflow Engineer

Location:  Benguluru

Department: Customer Success

Job Type: Full-Time

About Us:

Aisera is at the forefront of innovation, leveraging cutting-edge AI and machine learning technologies to drive transformative solutions across industries. We are seeking a highly skilled and motivated AI Workflow Engineer to join our dynamic team. This role is critical in optimizing and managing the end-to-end workflows of our AI projects, ensuring efficient deployment, scalability, and integration with our existing systems.

Job Summary:

As an AI Workflow Engineer, you will be responsible for designing, developing, and optimizing AI workflows that streamline the customer process and actions. You will work closely with customers and AI Services Engineers and other cross-functional teams to ensure that AI workflows are built rapidly based on the customer requirement. Your work will involve automating repetitive tasks, optimizing resource utilization, and ensuring the scalability and robustness of AI solutions.

Key Responsibilities:

  • Workflow Design & Automation:
    • Design and implement robust standard and custom AI workflows that cover data ingestion, preprocessing, model training, validation, deployment, and monitoring.
    • Automate repetitive tasks in the AI lifecycle to enhance productivity and reduce manual intervention.
    • Develop and maintain CI/CD pipelines for AI models, ensuring seamless integration with existing infrastructure.
  • Collaboration & Integration:
    • Collaborate with Delivery leaders,  AI service engineers and Project Managers to understand workflow requirements and challenges.
    • Integrate AI workflows with data pipelines, cloud platforms, and other enterprise systems to ensure smooth actions
    • Facilitate collaboration between different teams to ensure alignment and consistency in AI deployment practices.
  • Performance Optimization:
    • Monitor and optimize AI workflows to ensure efficiency, scalability, and reliability.
    • Identify bottlenecks in the AI workflow and implement solutions to enhance performance.
  • Documentation & Compliance:
    • Document workflow processes, configurations, and best practices to facilitate knowledge sharing and onboarding of new team members.
    • Ensure that AI workflows comply with internal standards, industry regulations, and best practices for security and data privacy.
  • Innovation & Continuous Improvement:
    • Stay up-to-date with the latest trends and technologies in AI and workflow automation.
    • Proactively suggest improvements to existing workflows and explore new tools and methodologies.
    • Participate in code reviews, knowledge-sharing sessions, and team meetings to foster a culture of continuous learning and improvement.

Qualifications:

  • Education:
    • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field with 4+ years of experience
  • Experience:
    • Engineering background (preferably in programming/mathematics)
    • Analytical and out of the box thinking
    • Excellent communication skills, honesty & hard work.
    • Strong programming and debugging skills in JavaScript.
  • Technical Skills:
    • Proficiency in JavaScript and REST APIs; Java and Python is a plus.
    • Strong knowledge of security standards (e.g OAuth, JWT) to develop and debug third-party application integrations.
    • Strong understanding of HTTP methods and how data is exchanged between systems
    • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
    • Knowledge of data engineering practices and familiarity with ETL pipelines.
    • Strong understanding of version control systems (e.g., Git) and collaborative development workflows.
  • Soft Skills:
    • Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
    • Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
    • Self-motivated, with a proactive approach to learning and implementing new technologies.


Top Skills

Java
JavaScript
Python
The Company
HQ: Palo Alto, CA
265 Employees
On-site Workplace
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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