TechMatrix Inc

Senior GenAI/Agentic AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior GenAI/Agentic AI Engineer, remote for 6+ months, requiring 13+ years of experience in AWS (Bedrock, SageMaker), Generative AI, and programming (Python). Expertise in agentic orchestration and vector databases is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 22, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #SageMaker #Redshift #Cloud #TensorFlow #SQS (Simple Queue Service) #AI (Artificial Intelligence) #Programming #SNS (Simple Notification Service) #Pandas #Deployment #RDS (Amazon Relational Database Service) #API (Application Programming Interface) #Database Systems #Data Science #Python #PyTorch #Lambda (AWS Lambda) #Langchain #NumPy #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #OpenSearch #Databases #AWS Machine Learning #Aurora
Role description
Role: Senior GenAI/Agentic AI Engineer Location: Remote Duration: 6+ Months Must have: 13+Years Expirence, AWS, Bedrock, Sagemaker, Agentic AI We are looking for a highly experienced and driven Senior GenAI/Agentic AI Engineer to lead the design, development, and deployment of next-generation intelligent applications and autonomous agents. This role is pivotal in revolutionizing business operations through advanced AI technologies. The ideal candidate will possess deep expertise in Generative AI, prompt engineering, agentic orchestration, and the full AWS Machine Learning and Data ecosystem. Mandatory Technical Expertise - • AWS Proficiency: Extensive hands-on experience with Amazon Bedrock, SageMaker, S3, Lambda, API Gateway, SQS/SNS, and other core AWS services like Redshift, Aurora Postgres, Glue, EMR, Lambda,Step Functions, CloudWatch. • Generative AI Mastery: Practical experience with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including prompt engineering, fine-tuning, and safety mechanisms. • Programming Skills: Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). • Vector & Database Systems: Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or RDS Vector Store for RAG implementations. • Agentic Frameworks: Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents.