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3 jobs found

Today

AI Engineer

Suffolk Construction Company, Inc. Boston, MA

Boston, MA

Today

$107k - $223k/yr Full time Backend Developer Artificial Intelligence AWS

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Job Description

Build production-grade AI systems for construction workflows, translating requirements into end-to-end solutions on AWS and Databricks.

Responsibilities

Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, AWS Lambda, ECS/EKS, and Databricks
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search
Design and deploy multi-model agents that dynamically route between Claude, GPT, Llama, Titan (based on task context, cost, and latency)
Implement multi-agent orchestration frameworks for collaboration among specialized agents (for example: data retriever, planner, summarizer, action executor) for complex construction workflows
Own the full lifecycle: design, development, testing, deployment, monitoring, and maintenance
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.)
Develop front-end integrations for Teams and web SPAs using REST or GraphQL endpoints
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse
Ensure efficient data access, caching, and vectorization for low-latency AI responses
Build tools to monitor and improve data quality, latency, and observability
Automate infrastructure and deployments with Terraform, AWS CDK, and GitHub Actions
Implement LLMOps practices including cost monitoring, latency optimization, usage analytics, and model versioning
Enforce security, governance, and access standards aligned with enterprise policies
Collaborate with product managers, site AI engineers, and data scientists to iterate quickly in Agile sprints
Communicate technical progress to non-technical stakeholders and contribute to internal AI playbooks and templates

Requirements

4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar)
Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions
Experience training, retraining, and performing transfer learning on ML models is desirable
Bachelor’s degree in Computer Science, Engineering, Physics, or a related field; Master’s preferred
Hands-on experience in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus
Excellent collaboration and communication skills; capable of working cross-functionally without reliance on business-side facilitation
Integration and ETL skills: foundational ETL/ELT design, experience with Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines

Technologies

AWS Bedrock, AWS Lambda, ECS, EKS, Databricks
Delta tables, Unity Catalog, Vector Search
Claude, GPT, Llama, Titan
Python, FastAPI, LangChain, AWS SDKs, boto3
SQL, vector databases
API Gateway, Step Functions, S3, CloudFront, KMS
Terraform, AWS CDK, GitHub Actions, CI/CD
LLMOps, ETL/ELT, Airflow, Databricks Workflows, REST, GraphQL

Benefits

Competitive salaries
Auto allowances and gas cards for certain roles
Market leading medical and emotional and mental health benefits
Dental and vision insurance plans
Virtual care options for physical therapy and primary care
Generous paid time off
401k plan with employer match
Access to expert financial resources
Company paid and voluntary life insurance
Tax deferred savings accounts
10 backup daycare days each year
Short- and long-term disability
Commuter benefits

Working Conditions

Regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills using a keyboard, telephone, or writing
Frequently required to stand, walk, and reach with arms and/or hands
Specific vision abilities include close vision, distance vision, depth perception, and the ability to adjust focus
Office environment with quiet to moderate noise level
Job site walking

EEO Statement

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law
This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment
Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk

Compensation Information

Where required by law, pay ranges can be found in Suffolk's job postings
Base Salary for this position is one component of Suffolk’s total rewards package
Actual salaries may be based on skill set, experience, education, and other qualifications
Suffolk offers a comprehensive benefits package as part of its overall total rewards strategy
Salary ranges are reviewed regularly to reflect market trends

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8d ago

Senior Agentic AI Engineer

Cryonix AI Denver, CO

Denver, CO

8d ago

$60+/hr Full time Backend Developer Senior Agent Orchestration

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Job Description

Cryonix AI is looking for a Senior Agentic AI Engineer based in Denver, CO to design, build, and take enterprise-grade AI systems into production. In this role, you will focus on scalable generative AI products and autonomous multi-agent architectures with an emphasis on reliability for digital entertainment experiences.

Working onsite in person, you will help shape agent systems end to end, from initial concept through full deployment, while aligning agent behavior with the operational standards expected from production services.

What you’ll do

Design, develop, and deploy autonomous AI services and multi-agent workflows from concept to enterprise production.
Build integrations using MCP for agent-to-tool communication and A2A for secure agent-to-agent coordination and task delegation.
Architect hybrid control flows including state machines and graphs to manage multi-step reasoning, combining probabilistic LLM outputs with deterministic code paths for critical backend transactions.
Integrate secure tool execution environments with sandboxed execution contexts and strict egress controls to support runtime safety.
Collaborate with cross-functional teams to convert business requirements into technical agent specifications and scalable microservices.
Apply SRE principles to agent behavior by adding robust fallback mechanisms, circuit breakers, and detailed audit trails for observability and reliability.

What you bring

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
5+ years of experience in software development or data science, with a demonstrated record of shipping LLM-powered systems into live production environments.
Advanced coding skills in Python, with deep understanding of backend frameworks such as FastAPI and Flask.

Technologies

Python
FastAPI
Flask
MCP
A2A

Location and pay

Location: Denver, CO (onsite / in person)
Pay: From $60.00 per hour

Application question

Are you a US Citizen?

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2mo ago

Senior Data Engineer (APIs for Data Platform)

DNS Solutions Inc. Remote 🌍 Remote

Remote

2mo ago Closed

$35 - $40/hr Full time Backend Developer Senior API

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

DNS Solutions Inc. is expanding its Enterprise Data and Analytics team with a Senior Data Engineer dedicated to API development for the data platform. This fully remote role designs scalable RESTful and GraphQL APIs that power enterprise applications, with offshore candidates welcome as long as they can align with UK working hours.

Responsibilities

Design, develop, and maintain RESTful and GraphQL APIs to support scalable, high-performance applications.
Collaborate with data engineers and developers to create seamless integrations between APIs, data pipelines, and web applications.
Build and maintain applications using frameworks like Java Spring Boot, Hibernate, Python FastAPI, and ReactJS.
Ensure system scalability, security, and reliability by implementing best practices in multi-threading, concurrency, and microservices architecture.
Drive architectural decisions to optimize performance across application, data, and infrastructure domains.
Develop and deploy solutions on Azure, utilizing tools like SQL Server, Redis, App Services, and API Management.
Create and maintain test automation frameworks to ensure data quality and service reliability.
Mentor junior engineers and foster a collaborative team environment.

Requirements

Bachelor’s degree in computer engineering, Computer Science or related discipline; Master’s Degree preferred
7+ years of software development experience in Big Data
7+ years of experience in modern programming languages - Java, Java-based frameworks (Spring, Maven), Python
3+ Years of web development experience using React JS, TypeScript
3+ Years of experience in application, data, and infrastructure architecture disciplines
3+ years of experience with multi-threading, concurrency, and highly scalable Microservices and REST web Services
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Extensive experience with message driven software patterns such as Service Bus, Kafka, Tibco, EMS, and MQ

Technologies

Java, Spring Boot, Hibernate, Python, FastAPI, ReactJS, TypeScript, REST, GraphQL, Maven, SQL Server, Redis, App Services, API Management, Azure, Kafka, Service Bus, Tibco, EMS, MQ, JavaScript, PowerShell, shell scripting, Regex, AWS, GCP

Preferred Skills

Experience working with other public cloud technologies Azure, AWS, GCP
Strong communication skills to effectively present complex technical solutions to business and technical stakeholders
Experience in scripting languages (e.g., JavaScript, PowerShell, shell scripting, Regex)
Experience building and supporting AL/ML software solutions
Prior experience in the Life Sciences industry or working with data and analytics in a similar domain
Knowledge of test automation tools to validate data accuracy and system reliability

Pay

$35.00 - $40.00 per hour

Work Location

Remote

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