What are the responsibilities and job description for the Senior AI Engineer (Generative AI, LLMs & AWS) position at SRI Tech Solutions?
Senior AI Engineer (Generative AI, LLMs & AWS)
Iselin, NJ
Full Time
Overview
Seeking an experienced AI Engineer to design, build, and deploy enterprise AI solutions leveraging Generative AI, LLMs, RAG, Agentic AI, Machine Learning, and AWS cloud technologies. The role focuses on developing scalable AI applications, optimizing prompts, implementing AI workflows, and supporting production-grade deployments and required Hardware integration knowledge
Key Responsibilities
- Design and develop AI solutions using LLMs, RAG, Agentic AI frameworks, and Machine Learning.
- Build AI applications including copilots, chatbots, conversational assistants, and intelligent workflows.
- Implement prompt engineering, retrieval pipelines, embeddings, vector search, and orchestration workflows.
- Develop and maintain data pipelines for AI and analytics use cases.
- Deploy and manage AI infrastructure on AWS (Bedrock, Lambda, S3, EKS/ECS, API Gateway, OpenSearch, DynamoDB, RDS).
- Provision cloud infrastructure using Terraform/Scalr.
- Implement LLMOps/MLOps practices, monitoring, observability, evaluation, and governance controls.
- Collaborate with business and technical stakeholders to deliver scalable AI solutions.
- Participate in architecture discussions, code reviews, and technical leadership activities.
Required Qualifications
- Bachelor''''s degree in Computer Science, Engineering, Data Science, AI, or related field.
- 5 years of Python software development experience.
- 3 years of Machine Learning/Data Science experience.
- 2 years of hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
- Strong expertise in Prompt Engineering and Agentic AI frameworks.
- Experience with AWS cloud services and AI/ML deployments.
- Hands-on experience with Terraform and cloud infrastructure automation.
- Experience with APIs, microservices, containers, SQL/NoSQL databases.
- Strong knowledge of CI/CD, testing, version control, and software engineering best practices.
- Excellent communication and stakeholder management skills.
Target Titles
- Senior AI Engineer
- Generative AI Engineer
- LLM Engineer
- AI/ML Engineer
- Agentic AI Engineer
- Agentic AI Architect
- AI Solutions Architect
- AWS AI Engineer
- GenAI Engineer
- Applied AI Engineer
Core Skills
AI/LLM: Generative AI, LLMs, RAG, Prompt Engineering, Agentic AI, LangChain, LlamaIndex, Vector Databases, Embeddings
Cloud: AWS Bedrock, Lambda, S3, ECS/EKS, API Gateway, OpenSearch, DynamoDB, RDS, IAM, CloudWatch
Engineering: Python, APIs, Microservices, Terraform, CI/CD, MLOps, LLMOps, Docker, Kubernetes
This version keeps the focus on AI, AWS, LLM, RAG, and Agentic AI while making it easier to source candidates.