Senior AI Engineer with Gen AI and Agentic AI - Remote - Only GC & USC Candidate
Ravi Teja Gadala
Hi Folks,Hope you are doing well.
This is #Raviteja. We have an immediate opportunity with one of our clients. Please find the job descriptions below, and if you are interested, please forward your updated resume to #gadalara...@gmail.com
Role: Senior AI Engineer with Gen AI and Agentic AI
Hope you are doing well.
This is #Raviteja. We have an immediate opportunity with one of our clients. Please find the job descriptions below, and if you are interested, please forward your updated resume to #gadalara...@gmail.com
Role: Senior AI Engineer with Gen AI and Agentic AI
📍 Location: Remote
🕓 Duration: Long-term Contract
Must have 15+years of experience
NOTE: Only GC and USC Candidates
Overview:
We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy intelligent, scalable, and secure AI solutions. The ideal candidate has a deep understanding of Generative AI, Agentic AI, and Large Language Models (LLMs), along with a proven ability to translate business requirements into advanced AI-driven architectures and applications.
You will work closely with cross-functional teams to design end-to-end AI/ML systems, leveraging cloud platforms, modern data stacks, and MLOps frameworks to deliver measurable business impact.
Key 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.
Required Qualifications:
15+ years of experience in data analytics and AI solutioning, with 7+ 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.
Preferred Qualifications:
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).
