Senior Fullstack Engineer — Agentic AI Systems

September 15, 2026

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"