[Remote] AI/ML Engineer – LLM & Conversational AI (MCP)

Flexionisvia Flexionis

RemotoRemotoPlenoCLT26 dias atrás

Salário Estimado

R$ 9.488,00 - R$ 14.231,00

Tecnologias

Python Go AWS Azure GCP Docker Kubernetes Git API REST IA TensorFlow PyTorch

0de 100

Excelente

Score da Vaga

Descrição da Vaga

Note: The job is a remote job and is open to candidates in USA.

Apexon is seeking an experienced AI/ML Engineer with deep expertise in Large Language Models and Conversational AI.

The role involves designing, building, and optimizing intelligent AI systems for chatbots and enterprise-grade solutions, while collaborating with cross-functional teams to meet business needs.

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 Skills

•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 • 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 Company Overview

•Apexon is a digital-first technology services firm, accelerating business transformation and delivering human-centric digital experiences.

It was founded in 1996, and is headquartered in Santa Clara, California, USA, with a workforce of 5001-10000 employees.

Its website is Company H1B Sponsorship • Apexon has a track record of offering H1B sponsorships, with 117 in 2025, 73 in 2024, 83 in 2023, 106 in 2022, 99 in 2021, 135 in 2020.

Please note that this does not guarantee sponsorship for this specific role.

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