[Remote] Senior AI Engineer​-Gen AI & Agentic AI

Note: The job is a remote job and is open to candidates in USA. Interaslabs is seeking a highly skilled Senior AI Engineer to design, develop, and deploy intelligent, scalable, and secure AI solutions. The ideal candidate will work closely with cross-functional teams to create advanced AI-driven architectures and applications, leveraging Generative AI, Agentic AI, and Large Language Models. Responsibilities • Architect and implement advanced AI/ML and Generative AI solutions aligned with business goals. • Collaborate with business and technical stakeholders to identify AI opportunities, define requirements, and ensure successful delivery. • Develop and fine-tune LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.) using frameworks like LangChain, CrewAI, or AutoGen. • Build and orchestrate intelligent multi-agent systems and workflow automation pipelines. • Integrate AI solutions within cloud environments (AWS, Azure, GCP) and data ecosystems (Snowflake, Databricks, Airflow, dbt). • Apply best practices in data governance, model performance, scalability, and security. • Leverage Python and industry-standard AI/ML libraries (e.g., Hugging Face, OpenAI SDKs) for experimentation and deployment. • Drive continuous improvements through MLOps, CI/CD, and monitoring strategies. • Present technical concepts and business outcomes to executive and client stakeholders. Skills • 15+ years of experience in data analytics and AI solutioning, with 10+ years focused on Generative AI and Agentic AI. • Strong hands-on experience in AI/ML, NLP, LLMs, and AI orchestration tools. • Proven success in client-facing consulting roles, leading business discovery and solution delivery. • Expertise in cloud ecosystems (AWS, Azure, or GCP) and modern data stack tools (Snowflake, Databricks, Airflow, dbt). • Proficiency in Python and libraries like Hugging Face, LangChain, and OpenAI SDKs. • Solid understanding of solution architecture, security, integration patterns, and scalability best practices. • Excellent communication, presentation, and stakeholder management skills. • Experience with AI agent frameworks (CrewAI, AutoGen, LangGraph, LangChain, Strands). • Familiarity with MLOps tools and practices (SageMaker, MLflow, Vertex AI, Azure ML). • Exposure to regulated domains such as finance, healthcare, or insurance. • Certifications in cloud, AI/ML, or data engineering (e.g., AWS ML Specialty, Azure AI Engineer). Company Overview • Interas is an IT company that provides consulting services in Kubernetes platform agility, scalability, reliability, and security. It was founded in 2001, and is headquartered in Livermore, California, USA, with a workforce of 51-200 employees. Its website is Apply tot his job