Position Summary
We are seeking an experienced AI Solutions Engineer to lead the design, development, and implementation of AI-powered solutions across our digital platforms and business operations. The ideal candidate will be responsible for building AI agents, developing automation workflows, integrating APIs, optimizing websites for AI-driven search and discovery, and creating scalable AI applications that improve operational efficiency and customer experience.
This role combines software development, AI engineering, automation, system integration, and digital optimization.
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Key Responsibilities
AI Development & Engineering
* Design, develop, and deploy AI-powered applications and solutions.
* Build and maintain AI agents using modern LLM frameworks.
* Develop Retrieval-Augmented Generation (RAG) systems and knowledge bases.
* Implement AI chatbots and virtual assistants for internal and customer-facing use cases.
* Fine-tune AI workflows for performance, accuracy, and scalability.
Workflow Automation
* Create automated workflows using AI and no-code/low-code platforms.
* Automate business processes across departments.
* Connect AI systems with CRM, CMS, and third-party software.
* Reduce manual workloads through intelligent automation.
API & System Integrations
* Develop and maintain REST APIs and webhooks.
* Integrate AI solutions with external platforms and SaaS products.
* Connect systems such as Salesforce, HubSpot, Microsoft 365, Google Workspace, Slack, WhatsApp, and custom applications.
* Ensure secure and scalable data exchange between platforms.
AI Agent Development
* Build autonomous and semi-autonomous AI agents.
* Implement multi-agent architectures where appropriate.
* Configure memory, tool usage, and decision-making capabilities.
* Monitor agent performance and continuously improve outputs.
Website & Digital Optimization
* Optimize website content and architecture for AI-powered search engines.
* Implement structured data and schema markup.
* Improve discoverability across AI search platforms.
* Develop AI-powered search and recommendation systems.
* Support SEO, GEO (Generative Engine Optimization), and AI visibility initiatives.
Data & Analytics
* Develop data pipelines supporting AI applications.
* Analyze AI performance metrics.
* Monitor usage, accuracy, response quality, and ROI.
* Generate reports and recommendations for leadership.
Innovation & Research
* Stay updated with emerging AI technologies and industry trends.
* Evaluate new AI tools and frameworks.
* Recommend AI adoption opportunities across the organization.
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Required Technical Skills
Programming Languages
* ruby, Ruby on Rails, Postgresql, HTML, SCSS, JavaScript, ElasticSearch, Memcached, AWS S3, AWS EC2, Heroku, Github
AI & Machine Learning
Experience with:
* OpenAI APIs
* Anthropic Claude APIs
* Gemini APIs
* Llama Models
* Hugging Face
* LangChain
* LangGraph
* CrewAI
* AutoGen
* RAG architectures
* Vector databases
AI Agent Frameworks
Experience with:
* LangGraph
* CrewAI
* AutoGen
* OpenAI Agents SDK
* Agentic workflow design
API Development
* REST APIs
* GraphQL
* Webhooks
* OAuth Authentication
* API documentation
Databases
* PostgreSQL
* MySQL
* Redis
* Vector databases (Pinecone, Weaviate, Chroma, Qdrant)
Cloud Platforms
Experience with one or more:
* AWS
* Azure
Automation Platforms
Experience with:
* n8n
* Make.com
* Zapier
* Microsoft Power Automate
Web Technologies
* HTML
* CSS
* JavaScript
* React (Preferred)
* Next.js (Preferred)
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Required Qualifications
* Bachelor's Degree in Computer Science, Software Engineering, AI, Information Technology, or related field.
* Master's Degree in AI, Machine Learning, or Data Science is a plus.
Experience
* 3–7 years in software development or AI engineering.
* Minimum 3 years working with Generative AI technologies.
* Proven experience building AI applications or automation systems.
* Experience deploying production-grade AI solutions.
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Required Soft Skills
* Strong problem-solving ability.
* Excellent analytical thinking.
* Ability to translate business requirements into AI solutions.
* Project management and stakeholder communication skills.
* Ability to work independently and lead AI initiatives.
* Strong documentation practices.
Success Metrics (KPIs)
* Number of AI solutions deployed.
* Reduction in manual processes through automation.
* AI agent performance and accuracy.
* Website visibility in AI search results.
* API integration reliability.
* Cost savings generated through automation.
* User adoption and satisfaction metrics.
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Ideal Candidate Profile
The ideal candidate should be capable of:
✅ Building AI agents from scratch
✅ Developing production-grade APIs
✅ Creating automated workflows using n8n/Make/Zapier
✅ Integrating AI with CRM, CMS, ERP, WhatsApp, and other platforms
✅ Optimizing websites for AI Search, GEO, and SEO
✅ Working with vector databases and RAG systems
✅ Deploying cloud-based AI applications
✅ Leading the company's AI transformation initiatives
Recommended Seniority: Mid-Senior to Senior Level (5+ years software engineering experience with strong AI implementation experience). This level will be capable of delivering business value immediately rather than requiring extensive training.
Pay: ₹100,000.00 - ₹130,000.00 per month
Benefits:
Work Location: Remote
