Applied AI Pega Developer

Anlage Infotech (India) P Ltd; Hyderabad, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Anlage Infotech (India) P Ltd seeks a Dotnet Applied AI Engineer - Assistant Manager / Engineering Manager with 6-13 years of experience to join our Hyderabad/Bangalore team. The candidate will design, build, and operate AI/ML platforms, and work across cloud-native environments with modern ML tooling.

Required skills include Python (mandatory), .NET stack, and experience with MLOps, LLM integration, and data governance.

Qualifications

• Bachelor's degree in CS, software engineering, data science, ML, or related discipline.
• 10+ years of software and platform engineering experience with listed tech.
• Experience with enterprise case management & low-code workforce platforms (PEGA) is important.
• Proficiency across cloud, AI/ML services, containerization, big data & CI/CD.

Responsibilities

• 3+ years designing, building, and operating AI/ML platform or infrastructure.
• Hands-on tooling for MLOps/LLMOps, model serving, vector infrastructure, and eval/observability for LLM integration.
• 1+ years establishing engineering standards and guiding teams to adopt them.
• Experience with AI control-plane patterns, policy-as-code, and multi-tenant isolation.
• Experience with enterprise data platform engineering, data pipelines, governance-as-code, and metadata/lineage.
• Understand BCD diagrams, data structures, algorithms, and AI-driven development.
• Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, ArgoCD to deliver platforms.

Skills

Interpersonal skills

Organizational skills

Ability to handle diverse situations

Mentoring

Education

Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline

Tools

Python

C#

.NET

Java

Rust

SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

LangSmith

LangFuse

Terraform

BDD

Gherkin

Cucumber

Playwright

Selenium

Angular

React

NodeJS

Job description

Dotnet Applied AI Engineer - Assistant Maanger / Engineering manager

Exp -6-13 yrs

Joining Location - Hyderabad / Bangalore

The successful candidate will possess:

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications

• A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
• Prior experience with enterprise case management & low-code workforce platforms (PEGA) is important.
• 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.

Responsibilities

• 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 AI—as 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.