Automation Specialist

About the Role

AI Technical Lead

Key Responsibilities

• Architect and scale
• production-grade AI systems
• Design and optimize
• RAG pipelines
• (retrieval, embeddings, vector databases)
• Build
• agentic workflows
• (LangChain, LangGraph, or custom orchestration)
• Integrate AI systems with
• enterprise tools
• (CRMs, APIs, financial systems)
• Ensure
• data reliability, auditability, and security
• Optimize
• AI performance, latency, and cost
• Translate AI outputs into
• business actions and workflows
• Lead technical direction and mentor engineers

Requirements (Must-Have)

• Software engineering experience
• Building
• production AI systems
• Strong experience with:
• RAG systems
• LLM orchestration
• Backend architecture & APIs
• Proficiency in:
• Python
• PHP
• Vector databases (Pinecone, MongoDB, or similar)
• Experience with:
• Cloud platforms (GCP, AWS, or equivalent)
• Proven experience building systems with
• real users and usage

Preferred Qualifications (Nice to Have)

• Experience with
• multi-tenant systems
• Experience with:
• LangChain / LangGraph / n8n
• Strong understanding of:
• Cost optimization, model routing
• Monitoring and observability

What Success Looks Like

• AI systems running reliably in production
• Clear impact on business metrics (revenue, efficiency, automation)
• Scalable and maintainable architecture
• Controlled and optimized AI costs
• AI outputs integrated into real workflows (not just chat interfaces)

Why Join Us

• Build real AI systems with direct business impact
• Work on complex, high-value problems (AI + automation)
• High ownership and technical influence
• Fast-moving environment focused on execution