AI Engineer
AI Engineer
AlgoLeap- Posted 17 hours ago
- Be among the first 10 applicants
Job Description
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
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
https://www.linkedin.com/posts/algoleap_graphragcarousal-algoleap-activity-7507710627042344960-5adTutm_source=share&utm_medium=member_desktop&rcm=ACoAAABtFtYBbSdOUsyDwLsVNn3zGZqug4sJbWo
https://www.linkedin.com/posts/algoleap_algoleap-aimbestfirms-datascience-activity-7509123559013924864-FDLMutm_source=share&utm_medium=member_desktop&rcm=ACoAAABtFtYBbSdOUsyDwLsVNn3zGZqug4sJbWo
https://www.linkedin.com/feed/update/urn:li:activity:7467114716574806017
https://www.linkedin.com/feed/update/urn:li:activity:7442530526231654401
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.
https://www.linkedin.com/posts/algoleap_graphragcarousal-algoleap-activity-7507710627042344960-5adTutm_source=share&utm_medium=member_desktop&rcm=ACoAAABtFtYBbSdOUsyDwLsVNn3zGZqug4sJbWo
https://www.linkedin.com/posts/algoleap_algoleap-aimbestfirms-datascience-activity-7509123559013924864-FDLMutm_source=share&utm_medium=member_desktop&rcm=ACoAAABtFtYBbSdOUsyDwLsVNn3zGZqug4sJbWo
https://www.linkedin.com/feed/update/urn:li:activity:7467114716574806017
https://www.linkedin.com/feed/update/urn:li:activity:7442530526231654401
More Info
Key Skills
About Company
Skills:
PostgreSQL, Docker, Python, Databases, Apis, Redis, Cloud Infrastructure, RAG embeddings, pgvector, memory context management, tool-calling systems, backend fundamentals, vector databases, LangGraph, OpenAI Agents SDK, production infrastructure, Multimodal AI, LLM evaluation, observability, LLM AI systems, PydanticAI, async systems, agentic workflows, Hybrid search reranking, stateful AI systems, MCP, LlamaIndex
Skills:
CDK, Docker, Terraform, Python, AWS, Gcp, Azure, Kubernetes, pgvector, Pinecone, LangSmith, LangGraph, Vertex AI Agent Builder, Helicone, Anthropic Claude API, embedding model selection, LangChain, CrewAI, AutoGen, vector stores, OpenAI Assistants API, CI CD pipelines, RAG pipeline, Weaviate
Skills:
Plugins, Automated Testing, Typescript, Javascript, Python, AWS, Java, Graphql, REST, Gcp, Containers, Azure, Infrastructure as Code, connectors, Microsoft Graph, LLM application development, CI CD, Copilot extensibility, OAuth 2.0, retrieval and context management, secure credential management, prompt engineering, MCP Model Context Protocol, OIDC
Skills:
containerization , Sparql, Rdf, Docker, Python, Oauth2, Azure, SHACL, Lang Chain, Lang Graph, Security, CI CD, Agentic frameworks, LLM orchestration, Evaluation, IEC 61850, Cloud and infra-Azure, COMTRADE, Vector databases, Production-grade async clean APIs, Knowledge graphs, RAG, Local LLM inference, OIDC
Skills:
Java Microservices, Git, Docker, Kubernetes, LangChain, RAG systems, Crew.ai, cloud-native architecture, vector databases, embedding models, knowledge retrieval systems, prompt engineering, Autogen, LLM optimization techniques, RAG pipelines, async programming, advanced Python programming