Direct message the job poster from Apexon
Sanjana Bisht
Sanjana Bisht
Executive II - Talent Acquisition at Apexon | Technical & Diversity Recruiting
Job Title: AI/ML Engineer – LLM & Conversational AI (MCP)
Location: Remote
Employment Type: Full-time
🚀 About the Role
We are looking for an experienced AI/ML Engineer with deep expertise in Large Language Models (LLMs), Conversational AI, and Model Context Protocol (MCP). In this role, you will design, build, and optimize intelligent AI systems that power chatbots, copilots, and enterprise-grade AI solutions.
You will work closely with product, UX, and engineering teams to transform business needs into scalable, secure, and high-performing AI applications.
🔧 Key Responsibilities
Design, develop, and deploy AI/ML solutions with a focus on LLMs and Generative AI
Build and optimize Conversational AI systems (chatbots, virtual assistants, AI agents)
Implement prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation pipelines
Develop and integrate MCP-based architectures for:
Context management
Tool calling
Memory handling
Agent orchestration
Work with vector databases such as Pinecone, FAISS, Weaviate, or Chroma
Integrate LLMs with enterprise systems, APIs, and third-party tools
Ensure model performance, scalability, security, and responsible AI usage
Monitor, test, and continuously improve model accuracy and response quality
Collaborate cross-functionally to deliver production-ready AI solutions
- Required Skills & Qualifications
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Google Gemini, or open-source models)
Experience with Conversational AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Solid understanding of Model Context Protocol (MCP) concepts
Strong knowledge of NLP, embeddings, and semantic search
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with REST APIs, microservices, Docker, and Kubernetes
🌟 Nice to Have
Experience with multi-agent systems
Knowledge of speech-to-text / text-to-speech pipelines
Exposure to MLOps tools (MLflow, Kubeflow, CI/CD for ML)
Experience in Healthcare, FinTech, or enterprise AI solutions
Understanding of AI governance, privacy, and compliance
🎓 Education
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field
Equivalent practical experience is welcome
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting