AI Engineer

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

• Bachelor's or Master's 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).