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Soulpage IT Solutions Pvt. Ltd.
in Hyderabad is seeking a Senior Fullstack Engineer to own modules from architecture through production, delivering backend services and APIs in Python and collaborating with a pod of engineers, BAs, a Delivery Lead and a Solution Architect. You will build scalable AI-enabled workflows, design data models, and contribute to frontend tools with React, while maintaining rigorous testing, observability, and clear documentation in a fast-moving, product-driven
September 15, 2026
Role:Senior Fullstack Engineer — Agentic AI Systems
Employment Type : Full-time
Work Experience: 5–9 years
Company: Soulpage IT Solutions Pvt. Ltd.
Positions: 3
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.
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
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
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
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
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