Aws Data Engineer with AI

Anlage Infotech; Hyderabad; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Anlage Infotech is recruiting for an APPLIED AI PLATFORM ENG. (AWS DATA ENGINEER) at Manager level in Hyderabad. The role demands 10–13 years of software and platform engineering across AI/ML infrastructure, with hands‑on experience in MLOps tooling, model serving, and LLM integrations.

Expect hybrid work model and collaboration with cross‑functional teams to deliver enterprise-scale platforms. The ideal candidate will define engineering standards, guide junior engineers, and drive platform

Qualifications

• 10+ years of software and platform engineering experience with most of the following: Angular, React, NodeJS, Python(Mandatory), C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, LangSmith, LangFuse, Terraform, as well as unit, integration, and end-to-end testing frameworks & tools, specifically BDD, Gherkin, Cucumber, Playwright, and Selenium.
• 3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands‑on experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open‑source models).
• 3+ years of experience with cloud‑native engineering on any of the cloud hyperscalers such as Azure, AWS, or GCPincluding their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AIas well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems.
• 1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.
• Prior experience with AI control‑plane and agent‑runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt‑injection, content, tool permissioning/tool‑RBAC), policy-as-code, and multi‑tenant isolation.
• Prior experience with enterprise data platform engineering: data pipelines, self‑service and data‑product enablement, governance-as-code enforcement, and metadata/lineage.
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI‑augmented spec‑driven development.
• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high‑quality platforms and products rapidly.
• Thanks

Responsibilities

• Design, build, and operate AI/ML platform infrastructure and tooling.
• Lead and mentor an engineering team to adopt standards and golden paths.
• Develop and maintain data pipelines, model serving, and observability for LLM integrations.
• Collaborate across product, data, and platform teams to deliver scalable solutions.

Skills

Python

AWS

Azure

GCP

Kubernetes

Docker

React

Angular

NodeJS

SQL

NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

LangSmith

LangFuse

Terraform

CI/CD

SRE

DevSecOps

OpenAI

Tools

Databricks

ArgoCD

GitHub

SonarQube

Terraform

Playwright

Selenium

CI/CD tooling

Job description

Skill : APPLIED AI PLATFORM ENG. (AWS DATA ENGINEER)

Level : Manager

Experience : 10-13 Yrs

Work location: Hyderabad

Mode of Interview : virtual

Date of Interview : 10-Aug-26 / 17-Aug-26

Work Model-Hybrid (3 days work from office / 2 days work from home )

Required Qualifications:

10+ years of software and platform engineering experience with most of the following: Angular, React, NodeJS, Python(Mandatory), , C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, LangSmith, LangFuse, Terraform, as well as unit, integration, and end-to-end testing frameworks & tools, specifically BDD, Gherkin, Cucumber, Playwright, and Selenium.

3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands‑on experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open‑source models).

3+ years of experience with cloud‑native engineering on any of the cloud hyperscalers such as Azure, AWS, or GCPincluding their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AIas well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems.

1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.

Prior experience with AI control‑plane and agent‑runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt‑injection, content, tool permissioning/tool‑RBAC), policy-as-code, and multi‑tenant isolation.

Prior experience with enterprise data platform engineering: data pipelines, self‑service and data‑product enablement, governance-as-code enforcement, and metadata/lineage.

Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI‑augmented spec‑driven development.

Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high‑quality platforms and products rapidly.

Thanks