Senior Fullstack Engineer — Agentic...

Role: Senior Fullstack Engineer — Agentic AI Systems

Type: Full-time | Location: Hyderabad (On-site) | Experience Required: 5–9 years | Positions Open: 3

About the Role:
SoulPage is an AI-first technology company building enterprise AI products and platforms for clients including Fortune 500 and government organizations, alongside our own SaaS products. You will join a dedicated pod (engineers + BA + Delivery Lead + Solution Architect) working directly with the CTO office. This is product engineering with ownership — not ticket execution: you will take modules from architecture through production, working in the prod repositories to enterprise standards.

What You Will Do:
- Design and build backend services and APIs (Python) that productionise AI/ML and agentic workflows — from prototype-grade pipelines to reliable, observable, scalable services
- Build and orchestrate agentic systems: multi-step LLM workflows, tool/function calling, retrieval pipelines, evaluation and guardrails
- Work with graph and document data models — entity extraction outputs, knowledge-graph queries, large-scale document processing pipelines
- Contribute across the stack where needed: React-based front ends for internal tools, review dashboards, and co-pilot interfaces
- Own modules end to end: architecture proposals, milestone delivery with exit criteria, demos to all stakeholders, documentation as a first-class deliverable
- Participate in fortnightly demos and architecture discussions with the engineering leadership

Must-Have Skills:
- 5+ years of backend engineering with Python (FastAPI/Flask/Django), including REST/gRPC API design, async processing, and message queues
- Hands-on production experience with LLM-based and agentic systems: at least one of LangChain/LangGraph, CrewAI, AutoGen, OpenAI/Anthropic SDKs with tool calling, or equivalent in-house frameworks — beyond tutorials: you have shipped and debugged these in production
- RAG pipelines: chunking/embedding strategies, vector databases (pgvector, Pinecone, Qdrant, or similar), retrieval quality evaluation
- Solid relational database skills (PostgreSQL) plus exposure to at least one NoSQL or graph store
- Cloud-native development on AWS or Azure: containers (Docker), CI/CD, infrastructure basics; Kubernetes exposure preferred
- Engineering rigor: automated testing, code review discipline, observability (logging/metrics/tracing)
- Strong written and spoken communication

Good to Have:
- Neo4j or other graph database experience (strong plus — the platform's core is a knowledge graph)
- Document AI / intelligent document processing: OCR pipelines, layout parsing, entity and relationship extraction from technical documents
- Full-stack experience with React/TypeScript
- MCP (Model Context Protocol), agent evaluation frameworks, or LLM observability tooling (LangSmith, Langfuse)
- Domain exposure to energy, oil & gas, EPC, or industrial/manufacturing software
- Experience working in AI-assisted development workflows (Copilot, Claude Code, Cursor) with strong code-review judgment

What Makes This Role Different:
- Product ownership from day one — named module ownership with demos to client leadership, not anonymous sprint tickets
- Frontier work: agentic AI applied to a hard, real domain where correctness matters, not a chatbot wrapper
- Direct mentorship from SoulPage's Director of Engineering and Solution Architect embedded in the same pod
- A clear growth path: this pod is phase one of a multi-phase programme expected to scale

Hiring Process:
- Profile review + 20-min screening call
- Technical deep-dive: backend design + agentic systems (90 min, includes a practical discussion of a system you've shipped)
- Problem-solving round with our Solution Architect
- Culture and ownership conversation with the Director

Apply: [email protected] with subject "Senior Fullstack — Agentic AI"