AI Engineer III – Agentic Platform
Amtech Software4 days ago
Bengaluru, IndiaSenior
Responsibilities
- Build headless business logic and expose Amtech capabilities as MCP-described tools usable by people, AI agents, and automated jobs.
- Build and maintain LLM orchestration layers and agent workflows using LangChain, LangGraph, and the Model Context Protocol.
- Develop RAG pipelines and integrate model-agnostic providers through a common abstraction.
- Build the Data Agent for governed, read-only access to on-premises customer data with approval gates and queryable audit trails.
- Deliver agentic intelligence capabilities for scheduling, orders and customers, documentation and knowledge, forecasting, and KPIs.
- Scale the reusable platform across product lines and partner with Forward Deployed Engineers embedded in product pods.
- Deploy and monitor agents and inference endpoints on AWS while managing evaluations, observability, and cost controls.
- Partner with Data Science, ML Engineering, and MLOps on classical ML production practices, deployment, monitoring, and retraining.
- Set technical direction and review other engineers’ work as a senior technical reference point.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 4–6 years of software engineering experience, including at least 2 years building production systems with large language models.
- Demonstrated experience setting technical direction and reviewing other engineers’ work without requiring formal people-management experience.
- Strong Python programming skills and 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 inferencing, including latency, throughput, and cost optimization.
- Experience building or consuming RAG pipelines and working with vector databases.
- Working knowledge of classical ML engineering and MLOps practices, including feature stores, model registries, and model CI/CD.
- Familiarity with Docker, containerized deployment, Git, and CI/CD practices.
- Preferred experience with MCP or similar agent-tool standards, governed data-access layers, Kubernetes, AWS Bedrock, AWS SageMaker, industrial data environments, embedded product or customer-facing engineering, and monitoring tools such as Prometheus, Grafana, or Datadog.
- AWS certification is preferred but not required.
Benefits
- Continuous learning, leadership development, and cross-portfolio career opportunities through Vista’s global network.
- Collaborative, transparent, people-first culture with exposure to cross-portfolio learning programs, leadership workshops, and AI hackathons.
- Opportunity to contribute to meaningful enterprise software, financial, manufacturing, and supply-chain modernization initiatives.
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.