AI Engineer

• We are looking for a hands-on Applied AI Engineer with 3-8+ years of experience to build and maintain components of an enterprise-grade, multi-agent AI platform.
• Preferred Experience Profile
• - Ai Engineer
• - OverAll 3+ yrs with 2 years of practical AI/GenAI experience
• - Senior Ai Engineer
• - Over all 5 to 8 Yrs of Experience ( Java + Python ) with 3+ yrs of Strong Hands-on
• Ai/GenAI Experience
• - Lead Engineer -
• - 8+ Over all Experience ( Java + Python ) with 4+ yrs of Strong Hands-on Ai/ GenAI
• Experience
• Strong focus on implementation, delivery, and problem-solving in production environments
• Key Responsibilities
• Agent & AI Application Development
• - Build and maintain individual agents (e.g., Proofreader, Formatter, Document Converter,
• Paralegal, Reviewer/Approver, Document Router) per the architecture defined by the AI Architect.
• - Implement multi-agent orchestration logic, task decomposition, tool/function calling, and inter-
• agent communication using frameworks such as LangChain / LangGraph.
• - Build Retrieval-Augmented Generation (RAG) pipelines - document chunking, embeddings
• generation, and vector store integration - for grounding agent responses in SOPs, QC guidelines,
• and playbooks.
• - Implement agent-to-tool and agent-to-system integrations using standardized protocols such as
• Model Context Protocol (MCP).
• Required Skills & Experience
• - 3-5+ years of overall software engineering experience, including at least 2 years building AI/ML,
• GenAI, or LLM-powered applications.
• - Strong programming skills in Python Or Java with the ability to build and maintain enterprise-grade
• APIs, microservices, and integration layers.
• - Practical experience building or contributing to multi-agent / agentic AI systems, including agent
• orchestration and autonomous task execution.
• - Working knowledge of agent frameworks such as LangChain, LangGraph, or Semantic Kernel, and
• familiarity with the Model Context Protocol (MCP) for tool/data integration.
• - Experience implementing Retrieval-Augmented Generation (RAG) pipelines - embeddings,
• chunking strategies, and vector databases (e.g., Azure AI Search, Qdrant, Pinecone, or similar).
• - Familiarity with RBAC, SSO/authentication, audit logging, and secure coding practices for
• enterprise platforms.
• - Exposure to document intelligence / document processing systems (parsing, OCR,
• formatting/validation engines) is desirable.
• - Comfortable working with REST APIs, version control (Git), CI/CD pipelines, and Agile/Scrum
• delivery practices.
• - Strong problem-solving skills, attention to detail, and ability to work effectively within a distributed
• delivery team.
• - A2A/UI frameworks and conversational AI solutions
• Preferred / Good to Have
• - Prior experience in legal, professional services, or document-heavy compliance-driven industries.
• - Exposure to Databricks, LLM hosting/routing across multiple providers (OpenAI, Azure OpenAI,
• Anthropic, etc.), and LLM evaluation frameworks.
• - Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate.
• Foundational Knowledge Expected
• Candidates should possess a working understanding of:
• - How Large Language Models (LLMs) work
• - LLM architecture and key concepts
• - Core Machine Learning concepts and terminology
• However, we are not evaluating candidates for deep research, model training, or scientist-level
• expertise.
• What We Are Looking For
• We need professionals who can quickly understand:
• - What we are building
• - The business problems we are solving
• - The platforms and applications we are developing and supporting
• - How to implement AI solutions in real-world enterprise environments
• The emphasis should be on practical application, engineering capabilities, solution design, and
• execution, rather than theoretical or academic depth.
• In summary: We are seeking a strong Applied AI Engineer profile with hands-on experience in modern
• GenAI and Agentic AI frameworks, capable of contributing immediately to development, delivery, and
• support of enterprise AI solutions.
• Education
• - Bachelors or Masters degree in Computer Science, Engineering, Artificial Intelligence, or a
• related field (or equivalent practical experience).
• Education
• Bachelor s or master s degree in computer science, Engineering, Artificial Intelligence, or a related field
• (or equivalent practical experience).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.