Full Stack Engineer (Mid–Senior) – Enterprise AI Platforms

About Ampera

Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI .

Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows .

Role Overview

We are looking for a strong Full Stack Engineer

who has built production-grade enterprise applications , worked with large datasets , and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.

This is not a UI-only or API-only role.

You’ll own end-to-end system design , from frontend experiences to backend orchestration and AI integration.

What You’ll Work On

• Enterprise web platforms used by analysts, admins, and leadership
• High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
• AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
• Secure, governed, multi-tenant systems with role-based access

Key Responsibilities

Full Stack Development

• Design and build scalable web applications (frontend + backend)
• Develop API-first backend services for enterprise workflows
• Build admin dashboards, analyst workflows, and decision-ready UIs
• Ensure performance, reliability, and maintainability at scale

Backend & Data Systems

• Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
• Design data models for high-volume, analytical workloads
• Implement caching, orchestration, background processing, and async workflows
• Integrate with enterprise systems (identity, BI tools, data platforms)

AI / LLM Integration

• Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
• Build AI-powered services :
• Query optimization
• Risk scoring & explainability
• Estimation & prediction workflows
• Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
• Work closely with ML engineers to productionize AI models

Enterprise Readiness

• Implement RBAC, audit logging, governance, and guardrails
• Design systems with security, compliance, and observability in mind
• Contribute to CI/CD pipelines , deployments, and production monitoring

Required Skills & Experience

Core Engineering

• 4–8+ years of experience as a Full Stack Engineer
• Strong backend experience with Python (FastAPI preferred) or equivalent
• Solid frontend experience with React / modern JS frameworks
• Strong understanding of REST APIs, async processing, microservices

Data & Systems

• Hands-on experience with large databases and complex schemas
• Strong SQL skills and experience optimizing queries
• Experience building enterprise-grade, data-heavy applications

AI / Modern Stack

• Practical experience integrating LLMs or AI services into applications
• Familiarity with:
• Prompting & structured outputs
• AI evaluation & guardrails
• Explainability and risk-aware AI
• Exposure to agentic AI frameworks or multi-step AI workflows is a big plus

Nice-to-Have (Strong Differentiators)

• Experience building AI-powered SaaS or internal enterprise platforms
• Background in analytics, risk systems, finance, supply chain, or operations
• Experience with Redis, message queues, background workers
• Familiarity with Azure / AWS , containerization, Kubernetes
• Ability to translate business problems → system design

What We Look For (Beyond Skills)

• Strong systems thinking — you see the whole picture
• Comfortable operating in ambiguous, zero-to-one builds
• Ability to reason about scale, cost, and enterprise constraints
• Builder mindset — you ship, iterate, and own outcomes

Why Join Ampera

• Work on real enterprise AI platforms , not demos or chatbots
• Exposure to LLMs, agentic AI, and applied AI at scale
• High ownership, senior-heavy team, minimal bureaucracy
• Opportunity to shape core architecture and AI strategy