Role: Senior Fullstack Engineer — Agentic AI Systems
Employment Type: Full-time
Location: Hyderabad — on-site
Work Experience: 5–9 years
Company: Soulpage IT Solutions Pvt. Ltd.
Positions: 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"