Artificial Intelligence And Machine Learning Engineer

Audax Labs, LLC.; Sector 10; Ibrido; INR 1.200.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

Audax Labs, LLC. is seeking an experienced AI Architect to drive end-to-end AI/ML solution development with a strong focus on NLP, LLMs, and Generative AI.

You will design and deploy AI Agents and multi-agent systems to automate business workflows and decision-making processes. The role involves architecting MCP servers and AI integration layers, enabling secure connections between LLMs, enterprise applications, databases, and external tools.

Competenze

• 6+ years hands-on experience in ML/AI solution development with NLP, LLMs and Generative AI.
• Proven experience building AI Agents, multi-agent systems and enterprise AI assistants.
• Experience designing and deploying MCP servers and tool integrations.
• Strong prompt engineering, vector databases, embeddings, semantic search, and AI workflow orchestration.
• Experience integrating LLMs with enterprise apps, APIs, databases and workflow engines.
• Exposure to cloud platforms (Azure, GCP, AWS) and API development.

Mansioni

• End-to-end development of AI/ML solutions focusing on NLP, LLMs, Generative AI.
• Design, develop, and deploy AI Agents and multi-agent systems to automate workflows.
• Architect MCP servers and AI integration layers for secure connectivity between LLMs and enterprise systems.
• Leverage LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, PyTorch and TensorFlow to drive innovation.
• Architect and optimize ML pipelines for scalability and reliability.
• Translate business objectives into AI-driven solutions with cross-functional teams.
• Oversee data engineering and model deployment on clouds (Azure, GCP, AWS).
• Ensure robust API integration between AI models, MCP servers and enterprise apps.
• Monitor and improve model performance; implement MLOps best practices.
• Mentor junior engineers and foster technical excellence.

Conoscenze

NLP

LLMs

Generative AI

AI Agents

Agentic AI

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

Llama

Strumenti

MCP servers

APIs

Function calling frameworks

Agent orchestration platforms

LangChain integration

Descrizione del lavoro

Key Responsibilities:

• End-to-end development of AI/ML solutions, with a focus on NLP, LLMs, and Generative AI applications.
• Design, develop, and deploy AI Agents and multi-agent systems to automate business workflows and decision-making processes.
• Architect and implement Model Context Protocol (MCP) servers and AI integration layers to enable secure and scalable connectivity between LLMs, enterprise applications, databases, APIs, and external tools.
• Drive innovation by leveraging frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, PyTorch, and TensorFlow.
• Architect and optimize machine learning pipelines, ensuring scalability, performance, and reliability.
• Collaborate with cross-functional teams to translate business objectives into AI-driven solutions.
• Oversee data engineering and model deployment on cloud platforms (Azure, GCP, AWS).
• Ensure robust API integration and seamless interaction between AI models, MCP servers, enterprise systems, and business applications.
• Monitor and continuously improve model performance, implementing best practices for MLOps.
• Mentor junior engineers and foster a culture of technical excellence and innovation.

Key Requirements:

• Experience: 6+ years of hands-on experience in machine learning and AI solution development, with a strong focus on NLP, LLMs, Generative AI, AI Agents, and Agentic AI architectures.
• Generative AI: Practical experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Llama, or similar frameworks.
• Hands-on experience designing and building AI Agents, multi-agent systems, RAG (Retrieval-Augmented Generation) applications, and enterprise AI assistants.
• Experience developing and deploying Model Context Protocol (MCP) servers, tool integrations, function calling frameworks, and agent orchestration platforms.
• Strong understanding of prompt engineering, vector databases, embeddings, semantic search, and AI workflow orchestration.
• Experience integrating LLMs with enterprise applications, APIs, databases, workflow engines, and business systems through secure and scalable architectures.
• Strong understanding of cloud platforms (Azure, GCP, AWS) and API development.

Preferred Qualifications:

• Experience building enterprise-grade Agentic AI solutions, AI copilots, autonomous workflow agents, and knowledge assistants.
• Experience with MCP-based architectures and integration of AI systems with enterprise tools such as CRM, ERP, HRMS, ITSM, document management, and workflow platforms.
• Knowledge of RAG frameworks, vector databases, and knowledge graph technologies.
• Experience implementing AI governance, guardrails, observability, security controls, and responsible AI practices for agent-based systems.
• Exposure to Azure OpenAI, AWS Bedrock, Google Vertex AI, Azure AI Foundry, or comparable enterprise AI platforms.