AI Engineer

We are seeking a hands-on AI Engineer to design, build, and deploy production-grade agentic workflows and intelligent AI solutions. In this role, you will bridge modern open-source agent frameworks with enterprise AI ecosystems to create scalable, stateful AI systems.

Key Responsibilities

Agentic Architecture: Design and implement stateful, multi-agent orchestrations using LangGraph to handle complex reasoning, task decomposition, and dynamic control flows.

Enterprise Copilot Integration: Build, customize, and maintain low-code/pro-code AI assistants using Microsoft Copilot Studio, integrating them seamlessly with business systems and APIs.

Python Engineering: Write production-ready, clean Python code to build robust backend pipelines, integration layer endpoints, and custom tool extensions for LLMs.

System Optimization: Fine-tune system prompts, optimize context windows, and manage memory/state management for high reliability and low latency.

Must-Have Qualifications

Advanced Python: 3+ years of professional backend software development experience in Python (AsyncIO, FastAPI/Flask, Pydantic).

LangGraph Expertise: Hands-on experience building cyclic agentic graphs, state management, human-in-the-loop workflows, and multi-agent coordination with LangGraph.

Copilot Studio Mastery: Demonstrated experience configuring, extending, and deploying agents in Microsoft Copilot Studio (including Power Platform connectors, Azure OpenAI integrations, and topic management).

Experience integrating REST APIs, vector databases, and enterprise data sources into LLM workflows.

Nice - to - Haves

Experience with Azure AI Services or Microsoft 365 ecosystem integrations.

Familiarity with evaluation frameworks (LangSmith, DeepEval) and CI/CD pipelines for AI applications.

AI & Automation: Developing Generative AI applications, custom deep learning models, Agentic Mesh architectures, and RAG/GraphRAG solutions.

Digital Product Engineering: Building scalable custom applications, mobile platforms, and modern data architectures using modern, LEAN MVP approaches.

Enterprise Service Management: Optimizing cloud infrastructure (CloudOps, ITOM, ITSM) and implementing major platforms like SAP, Salesforce, and ServiceNow.

What We Offer

• Opportunity to lead the technical direction of cutting-edge enterprise AI frameworks and agentic architectures.
  

• A collaborative, engineering-first culture focused on high-impact problem solving.
  

• Competitive compensation package and flexible work arrangements.
  

Algoleap ( www.algoleap.com) is a digital product engineering and AI services firm headquartered in Hyderabad, India, with global hubs in the United States, Germany, Bulgaria and the Netherlands.

Founded in 2017, the company specializes in cloud-native product engineering, AI-driven business transformation, and enterprise digital solutions. Algoleap is 850+ employees globally and serving close to 30 global 2000 clients.

Core Offerings & Focus Areas

• AI & Automation: Developing Generative AI applications, custom deep learning models, Agentic Mesh architectures, and RAG/GraphRAG solutions.
  

• Digital Product Engineering: Building scalable custom applications, mobile platforms, and modern data architectures using modern, LEAN MVP approaches.
  

• Enterprise Service Management: Optimizing cloud infrastructure (CloudOps, ITOM, ITSM) and implementing major platforms like SAP, Salesforce, and ServiceNow.
  

• Algoleap Studios: Specialized innovation labs focused on advanced enterprise tech, bespoke digital operating frameworks (e.g., Algo-OS), and AI accelerator blueprints.