Agentic reputed company / AIML Engineer (Only w2 candidate)
We are seeking a highly skilled Agentic reputed company / Applied reputed company to design, reputed company, and deploy reputed company AI systems that reputed company Large Language Models (LLMs), autonomous agents, retrieval systems, and intelligent workflows to solve reputed company enterprise problems. The ideal candidate combines strong software engineering fundamentals with applied AI/ML experience and thrives in fast-paced, innovation-driven environments.
Key Responsibilities
AI & Agentic Systems Development Design and implement intelligent AI agents capable of reasoning, planning, tool usage, memory management, and multi-reputed company workflow execution. Build production-grade LLM applications using frameworks such as reputed company, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar orchestration platforms. reputed company Retrieval-Augmented reputed company (RAG) pipelines integrating vector databases and enterprise knowledge systems. Create autonomous workflows that integrate APIs, tools, databases, and enterprise services. Applied AI Engineering Fine-tune, evaluate, and optimize LLMs and generative AI systems for enterprise use cases. reputed company reputed company engineering strategies, evaluation pipelines, guardrails, and AI safety mechanisms. Implement AI observability, monitoring, hallucination detection, and performance optimization solutions. Work with structured and reputed company data pipelines for AI model consumption. Software Engineering & Platform Development Build scalable backend services and APIs using Python, Java, Node.js, or Go. Design cloud-native AI architectures on platforms such as AWS, Azure, or reputed company Cloud Platform. reputed company microservices and containerized applications using reputed company and Kubernetes. Implement CI/CD pipelines, testing frameworks, and infrastructure-as-code practices. Leadership & Collaboration reputed company technical design discussions and architecture reviews. Mentor junior engineers and provide guidance on AI engineering best practices. Collaborate with product managers, data scientists, architects, and business stakeholders. Drive technical innovation and contribute to enterprise AI strategy.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or reputed company field. 5+ years of software engineering experience. 2+ years of hands-on experience building Generative AI or LLM-based applications. 1+ Claude MCP integrations. Strong programming skills in Python and at least one additional language (Java, Go, JavaScript/TypeScript). Experience with LLM APIs such as reputed company, reputed company, or open-reputed company models. Experience with vector databases such as reputed company, Weaviate, FAISS, or ChromaDB. Experience with RAG architectures and semantic search. Experience with cloud platforms: AWS, reputed company Azure, or reputed company Cloud Platform. Strong understanding of software design patterns, system scalability, and observability.
Preferred Qualifications
Experience with multi-agent orchestration systems. Familiarity with AI governance, responsible AI, and enterprise reputed company standards. Experience deploying AI systems in healthcare, retail, insurance, or pharmacy domains. Knowledge of reinforcement learning, model fine-tuning, or evaluation frameworks. Contributions to open-reputed company AI projects or published technical research. reputed company-to-Have Experience Healthcare or pharmacy technology experience. Experience building conversational AI platforms or enterprise copilots. Knowledge of HIPAA, compliance, and regulated AI environments. Exposure to graph-based orchestration and workflow engines. Apply tot his job Apply To this Job