
Senior AI Developer /AI Automation Engineer (LLM, AI Agents,)
- or -
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- Proposals: 32
- Remote
- #4484973
- Expired

Description
We are looking for an experienced AI Developer / AI Automation Engineer to design and build advanced AI applications, intelligent agents, and automation platforms similar to leading AI products for different industries.:
• (AI-powered enterprise legal assistant)
• (AI agent-based digital workforce platform)
• (Generative AI business automation platform)
• (AI analytics and marketing intelligence platform)
These platforms leverage LLMs, AI agents, data pipelines, automation workflows, and API integrations to automate business operations, data analysis, marketing insights, and enterprise workflows.
The ideal candidate should have strong experience in Generative AI, LLM development, AI agent frameworks, and automation systems.
Key Responsibilities:
1. AI Application Development
• Design and build AI-powered applications using LLMs
• Develop AI agents capable of performing automated tasks
• Implement retrieval augmented generation (RAG) systems
2. AI Agent & Workflow Automation
• Build multi-agent AI systems
• Create automated business workflows for:
• marketing
• analytics
• customer support
• data processing
3. LLM Integration
• Integrate AI models such as:
• OpenAI
• Claude
• Gemini
• Llama
• Fine-tune models for domain-specific applications.
4. Data & Knowledge Systems
• Implement vector databases and semantic search
• Build knowledge bases for enterprise AI assistants.
5. API & SaaS Integration
Integrate AI with:
• CRM systems
• Marketing platforms
• Google Ads / Meta Ads
• analytics dashboards
• internal business systems.
6. AI Analytics & Reporting
Develop AI-powered analytics dashboards for:
• marketing data
• campaign optimization
• predictive insights.
Required Technical Skills
AI / Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• RAG architecture
• AI agents
Programming Languages
• Python (mandatory)
• JavaScript / TypeScript
• Node.js
AI Frameworks
Experience with at least one:
• LangChain
• LlamaIndex
• AutoGPT
• CrewAI
• Semantic Kernel
• HuggingFace
AI Infrastructure
• Vector Databases (Pinecone, Weaviate, Chroma)
• Model deployment
• AI APIs
Cloud Platforms
• AWS
• GCP
• Azure
Databases
• PostgreSQL
• MongoDB
• ElasticSearch
DevOps
• Docker
• Kubernetes
• CI/CD
Preferred Skills
• AI agent development
• AI workflow automation
• Data pipeline development
• Marketing analytics AI
• NLP systems
• Chatbot / AI assistant development
AI Products / Systems You May Work On
Develop systems similar to:
• AI Legal Assistant Platforms
• AI Business Automation Agents
• AI Marketing Analytics Platforms
• Enterprise AI Knowledge Systems
• AI SaaS Automation Tools
Candidate Profile:
We are looking for someone who:
• Has strong experience building AI products
• Understands LLM architecture and AI workflows
• Can design AI SaaS platforms from scratch
• Has experience building scalable AI systems
Note: This is going to be a long term Full time position with good salary package.
Please only apply if you are not working for any agency and you will be fully dedicated to work only with us since this is not one time project and we want those to be a part who want to be with us for long time.
Best Regards
Ashish
ASHISH K.
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Log inClarification Board Ask a Question
-
Are you recuiting one person or seeking an entire department?
I think you should narrow down and or justify each specific technical requirement to attract quality candidates. -

Hi Ashish, thanks for sharing such a detailed overview of the role. Before I share my technical approach and availability for long-term collaboration, I’d like to clarify a few points to align expectations:
1. Are these multiple separate AI SaaS platforms, or a single modular platform serving different industries (legal, marketing, analytics, automation)?
2. For AI agents and workflow orchestration, do you have a preferred framework such as LangChain, CrewAI, Semantic Kernel, or should the architecture be proposed based on scalability needs?
3. Are there existing CRM / Ads / internal system integrations already defined, or will integration requirements evolve per industry module?
Looking forward to learning more about the platform vision.