Senior AI Engineer – Agentic Platform
Amtech Software2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Build business logic that operates independently of user interfaces and expose Amtech capabilities as MCP-described tools.
- Build and maintain LLM orchestration and agent execution workflows using LangChain, LangGraph, and MCP.
- Develop and tune RAG pipelines grounded in Amtech data and integrate multiple LLM providers through a common abstraction.
- Build and maintain the Data Agent for governed, read-only access to on-premise customer data with approval gates and queryable audit trails.
- Extend the platform into scheduling, order and customer, documentation and knowledge, forecasting, and KPI intelligence capabilities.
- Create reusable platform components that can be adopted across Amtech product lines and support agents used by Sales, Support, and Customer Success.
- Partner with Forward Deployed Engineers and product pods to validate workflows and inform the platform roadmap.
- Deploy and operate agents and inference endpoints on AWS, including monitoring, evaluations, cost controls, and observability.
- Partner with Data Science, ML Engineering, and MLOps teams on model deployment, monitoring, retraining, feature stores, registries, and model drift practices.
- Set technical direction and review other engineers’ work while serving as a senior technical voice for production practices.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 6+ years of software engineering experience, including 2+ years hands-on building production systems with large language models.
- Experience setting technical direction and reviewing other engineers’ work without requiring formal people-management experience.
- Strong Python programming skills.
- Practical experience with prompt engineering, tool or function calling, and agent frameworks such as LangChain or LangGraph.
- Experience integrating at least one major LLM provider API, including OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock.
- Hands-on AWS experience deploying and operating production workloads, including services such as Lambda, ECS/EKS, S3, IAM, and CloudWatch.
- Experience with real-time and batch model inference, including latency, throughput, and cost optimization for LLM or ML workloads.
- Experience building or consuming RAG pipelines and working with vector databases.
- Working knowledge of classical ML engineering and MLOps practices such as feature stores, model registries, and model CI/CD.
- Familiarity with Docker and containerized deployment.
- Working knowledge of Git and CI/CD practices.
- Preferred experience with MCP or similar agent-tool integration standards, governed data-access layers, audit logging, guardrails, and least-privilege access.
- Preferred exposure to Kubernetes, AWS Bedrock, AWS SageMaker, ERP or MES data environments, product or customer-facing engineering, and monitoring tools such as Prometheus, Grafana, or Datadog.
- AWS certification is a plus but is not required.
Benefits
- Access continuous learning, leadership development, and cross-portfolio opportunities through Vista’s global network.
- Work in a collaborative, transparent, people-first environment focused on accountability and integrity.
- Contribute to AI-driven automation and modernization of financial and operational systems.
- Collaborate with peers across Vista’s portfolio and benefit from Vista’s enterprise software ecosystem.
Tech Stack
Categories
About Amtech Software
Amtech Software builds ERP, MES, and plant-floor execution software for corrugated, folding carton, flexible packaging, and label manufacturers, along with online ordering, inventory, logistics, and analytics modules. Its cloud-hosted and on-premise offerings are sold to packaging producers with implementation and support services. Headquartered in Fort Washington, Pennsylvania, the company has operated for over 40 years and is part of Vista Equity Partners’ portfolio.