Daten Technology Solutions · 3 hours ago
Artificial Intelligence Engineer
Daten Technology Solutions is seeking a Full Stack AI Engineer to design, build, and deploy next-generation agentic AI applications leveraging Large Language Models and cloud-native AWS services. The role involves operating across the entire AI application lifecycle, including model fine-tuning, agent workflow design, and frontend development.
Responsibilities
Design and implement multi-agent pipeline systems for complex reasoning, orchestration, and task execution
Develop and manage agentic workflows using frameworks such as LangChain, AWS Strands, or similar
Fine-tune and adapt LLMs using custom enterprise data on AWS Bedrock and/or OpenAI platforms
Implement advanced prompt engineering strategies for task decomposition, tool calling, and agent collaboration
Build and maintain Python-based backend APIs using Flask or FastAPI
Integrate LLM inference, vector search, memory, and agent logic into scalable backend services
Develop ML pipelines for data preprocessing, embedding generation, evaluation, and inference
Read, analyze, and interface with existing Java-based services or codebases as required
Develop intuitive and responsive web interfaces using React.js or Vue.js
Integrate frontend components with AI-driven backend APIs for real-time inference and agent interactions
Collaborate with UX and product teams to translate AI workflows into usable customer experiences
Deploy and operate full-stack AI applications on AWS, leveraging AWS Bedrock for LLM access and fine-tuning, S3 for data and artifact storage, Lambda for serverless workflows, EC2 for scalable compute workloads
Implement secure, scalable, and cost-optimized cloud architectures
Support CI/CD pipelines and production monitoring for AI services
Qualification
Required
Hands-on experience with LLM fine-tuning and inference (AWS Bedrock, OpenAI)
Strong expertise in AI agent development and prompt engineering
Experience building production-grade GenAI applications
Practical experience with LangChain, AWS Strands, or equivalent agent orchestration frameworks
Expert-level Python skills
Experience with Flask/FastAPI, ML pipelines, and large-scale data processing
Ability to read and analyze Java code for integration or enhancement
Strong working knowledge of React.js or Vue.js
Experience building AI-integrated web applications
Hands-on experience with AWS Bedrock, S3, Lambda, EC2
Understanding of cloud security, scalability, and performance best practices
Preferred
Deep experience in GenAI application development beyond PoCs
Exposure to multi-agent system architectures in production environments
Experience designing agentic workflows for enterprise-scale use cases
Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG)
MLOps and model evaluation experience
Company
Daten Technology Solutions
Daten Technology Solutions provides software engineering and technology services focused on enterprise systems and data solutions.
H1B Sponsorship
Daten Technology Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase