Tential Solutions · 1 day ago
AI ML Engineer
United States
Contract
Remote
Mid, Senior Level
3+ years expTential Solutions is seeking an AI ML Engineer to design, build, and operationalize GenAI solutions on AWS. The role involves collaborating with product owners and stakeholders to develop robust AI applications, utilizing technologies such as Amazon Bedrock and Python.
Human ResourcesInformation Technology
Responsibilities
Design and implement GenAI solutions using Amazon Bedrock (e.g., model selection, prompt orchestration, guardrails, evaluation)
Build agentic AI systems (tool-using agents, multi-step workflows, RAG pipelines, planners/executors) in Python
Develop APIs, microservices, and backend components in Python to integrate AI capabilities into applications
Implement retrieval pipelines (RAG) using AWS services (e.g., OpenSearch, DynamoDB, S3, Kendra, Aurora)
Deploy and operate AI workloads using AWS services such as Lambda, ECS/EKS, Step Functions, EventBridge, S3, CloudWatch, IAM, CloudFormation/CDK
Implement CI/CD for AI and data services (e.g., CodePipeline / GitHub Actions)
Monitor performance, cost, and reliability of AI workloads, and optimize as needed
Work with structured and unstructured data (text, documents, logs, PDFs, etc.) to power LLM-based applications
Ensure security, compliance, and governance for AI solutions (IAM, KMS, data masking, network security)
Collaborate with data engineers and architects on data pipelines and data quality
Partner with product owners and business SMEs to refine use cases and success criteria
Create technical documentation, design diagrams, and best-practice guidelines
Support demos, PoCs, and pilot implementations with stakeholders and clients
Mentor junior engineers on AWS, Python, and AI best practices
Qualification
Required
Education: Bachelor's degree in Computer Science, Engineering, or related field; or equivalent practical experience
Experience: 3–7+ years of experience in software engineering / data engineering / ML engineering (adjust years as needed)
Overall Experience: Min of 3 years
Python: Strong proficiency, including experience building APIs, services, or automation
Amazon Bedrock: Hands-on experience (model configuration, inference, prompt management, evaluation)
Agentic AI: Experience designing and implementing applications (e.g., tool-calling agents, workflow orchestration, multi-agent systems)
Core AWS Services: • Compute: Lambda, ECS/EKS, or EC2
Storage & Data: S3, DynamoDB / RDS / Aurora
Integration: API Gateway, Step Functions, EventBridge/SQS
Security & Ops: IAM, CloudWatch, CloudTrail
Engineering Fundamentals: Experience with Git, modern CI/CD practices, testing, logging, error handling, and performance
Preferred
Experience implementing RAG (Retrieval-Augmented Generation), vector search, embeddings, and document chunking
Familiarity with LangChain / LangGraph, Amazon Agents for Bedrock, or similar frameworks
Experience with containerization (Docker) and orchestration (EKS/Kubernetes)
Exposure to MLOps or DataOps practices on AWS
Experience working in enterprise or regulated environments with strong focus on compliance and data privacy
Familiarity with front-end integration (e.g., integrating AI APIs into web or internal tools) is a plus
Company
Tential Solutions
We put people first. We’re your trusted partner - empowering you with top talent and solutions to stay competitive in today’s dynamic market.
501-1000 employees
H1B Sponsorship
Tential 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)
2023 (1)
2022 (3)
2020 (11)
Funding
Current Stage
Late StageLeadership Team
Shane Ireland
Chief Executive Officer
Quinn Salamandra
Co-Founder
Recent News
Australian Financial Review
2024-05-02
2024-04-12
Company data provided by crunchbase