Applied AI Pega Developer

Anlage Infotech; Hyderabad, Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Anlage Infotech is seeking a Dotnet Applied AI Engineer to join our engineering leadership track in Hyderabad or Bangalore. The role requires strong software engineering experience and hands-on AI/ML platform work across MLOps, LLM integration, and cloud-native stacks.

The candidate should have a track record of delivering end-to-end AI-enabled platform components, mentoring teams, and promoting best practices in software engineering and data product governance.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.
• Experience is the most relevant factor.
• Prior enterprise case management & low-code workforce platforms (PEGA) experience is important.
• 10+ years of software and platform engineering experience with modern tech stack including Angular, React, NodeJS, Python, .NET, Java, Kubernetes, Docker, ML frameworks.
• 3+ years designing, building, and operating AI/ML platforms and tooling for MLOps/LLMOps.
• 3+ years cloud-native engineering with Azure/AWS/GCP and AI services; container orchestration; CI/CD at platform scale.
• 1+ years establishing engineering standards and guiding teams.
• Experience with AI control-plane, guardrails, multi-tenant isolation, data governance.
• Experience with data pipelines, data-product enablement, governance-as-code.

Skills

Python

.NET

C#

Kubernetes

Docker

PyTorch

TensorFlow

LangChain

LangSmith

LangFuse

Education

Bachelor's degree in CS or related field

Tools

GitHub

ArgoCD

Databricks

Playwright

Selenium

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:

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.
• 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 GCP including 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.