Company: SolarRun

Role: Applied AI & Automation Engineer

Focus: AI Agents, CRM & Growth Automation

Technology: Custom PHP/Laravel CRM + AI/LLM integrations

Industry: Solar / Renewable Energy

Role Summary

SolarRun is looking for a hands-on engineer to identify, prototype, build and productionise AI-powered solutions across its CRM, sales, marketing, lead generation, content and customer operations. This is not just a chatbot or prompt-engineering role.

Key Responsibilities

- Build AI-powered workflows inside the PHP/Laravel CRM.
- Build AI agents for sales coaching, role-play and call analysis.
- Automate lead enrichment, qualification, scoring, routing and follow-up.
- Build marketing/content-generation workflows.
- Integrate OpenAI, Claude, Gemini and other LLM APIs.
- Build tool/function-calling and agentic workflows.
- Connect AI systems to the CRM using REST APIs, JSON, webhooks and authentication.
- Build automations with n8n or similar tools.
- Implement RAG, embeddings and vector search.
- Build guardrails, validation, retries, fallbacks and human approvals.
- Implement AI evaluation/testing, logging, monitoring and cost tracking.
- Handle security, privacy and customer-data protection.
- Document architecture, APIs, prompts and workflows.

Essential Skills
- Solid software engineering
- Python and/or Node.js/TypeScript
- REST APIs, JSON,



webhooks, authentication
- SQL and relational databases
- OpenAI / Claude / Gemini APIs
- Production LLM applications
- Tool/function calling
- Agentic workflows
- Prompt/context engineering
- Structured outputs
- AI evaluation/testing
- Git and production deployment
- Security, privacy and data protection

Highly Desirable Skills
- n8n or similar orchestration
- RAG, embeddings, vector search
- Vector databases: pgvector, Pinecone, Qdrant, Weaviate
- Agent frameworks/orchestration
- LLM observability/monitoring
- Traditional ML/predictive modelling
- AWS/Azure/GCP
- Docker and CI/CD
- PHP/Laravel integration
- CRM/ERP/accounting integrations
- Marketing technology integrations
- Transcription/speech AI

What SolarRun Wants to See Candidates should demonstrate 23 systems they have actually built, explaining the business problem, AI vs non-AI decision, architecture/model choice, integrations, evaluation, error/hallucination handling, security/privacy, production deployment and measurable business outcome. Working demos, architecture diagrams, GitHub projects and case studies are highly valued.

In one line:

Software Engineer + Python/TypeScript + APIs/SQL + LLMs + Agents + RAG + n8n + Production/Deployment + AI Evaluation.

📌 Applied AI & Automation Engineer (Hyderabad)
🏢 Solarrun
📍 Hyderabad