Full Stack Engineer (Mid–Senior) – Enterprise AI Platforms
React.jsAbout 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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