Artificial Intelligence & Machine Learning Engineer - Generative AI
First seen by Alion on Oct 21, 2026.
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.
Skills
Artificial Intelligence, Machine Learning, Generative AI, NLP, LangChain, PyTorch, Tensorflow, MLOps, LLM