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Lambda Data Jobs

22 jobs found

Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

Sunnyvale, CA based with remote option, Hudson Manpower seeks an experienced AWS AI Engineer to design, deploy, and operate AI and ML applications in the cloud, prioritizing retrieval-augmented generation, fine-tuning large language models, and AWS native microservices for enterprise production.

Responsibilities

Act in a hands-on capacity with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services across infrastructure, machine learning, and AI platform components.
Develop and scale LLM based applications, incorporating Retrieval-Augmented Generation (RAG) with LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Partner with internal stakeholders to translate business objectives into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Contribute to the evolution of reusable platform components for AI and ML operations.
Document technical work thoroughly for the team and internal customers.
Demonstrate strong verbal and written communication in English.

Requirements

7 years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, particularly Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Background working with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid track record implementing RAG architectures and LangChain.
Experience with Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
AWS Config
SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Eligible to earn referral bonuses

Supervisory Responsibilities

None

View full job page →

Today

AWS AI Engineer

Hudson Manpower New Jersey 🇺🇸 Remote

New Jersey

Today

Full time Amazon Web Services Artificial Intelligence AWS

Apply Now

Job Description

Hudson Manpower is seeking a Senior AI AWS Engineer in New Jersey with remote work options. The role centers on building retrieval-augmented generation (RAG) systems, fine-tuning large language models, and delivering cloud-native AI services within an enterprise AWS environment.

Responsibilities

Hands-on development and operations with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning workflows, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Excellent verbal and written communication skills in English.

Requirements

Seven years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, notably Bedrock or SageMaker.
Familiar with fine-tuning large language models or building datasets and deploying ML models to production.
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid experience implementing RAG architectures and LangChain.
Demonstrated experience in Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

Bedrock
SageMaker
ECS
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Git
Python
Hugging Face
Node.js
Golang
Terraform Sentinel

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

What you will get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

Supervisory responsibilities

None

View full job page →

1d ago

AWS AI Engineer

Hudson Manpower Richmond, VA 🇺🇸 Remote

Richmond, VA

1d ago

Full time Backend Developer AI Ai Workflows

Apply Now

Job Description

This role centers on delivering hands-on AI and cloud engineering in AWS, focusing on retrieval-augmented generation systems, LLM fine-tuning, and deploying AWS native microservices to support automation and governance in production. Based in Richmond, VA with remote work available.

Responsibilities

Hands-on execution of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develop LLM-based applications, with Retrieval-Augmented Generation using LangChain and similar frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, overseeing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication skills in English.

Requirements

Minimum seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails, including SCPs and AWS Config.
Strong background implementing RAG architectures and LangChain.
Proven IaC practices and experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Bedrock
SageMaker
ECS
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
AWS
Terraform Sentinel
Hugging Face
Node.js
Golang
Git

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) plan with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

What you’ll get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

View full job page →

1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to lead the hands-on development of AI and ML applications within AWS, with a focus on retrieval-augmented generation, fine-tuning LLMs, and enterprise-grade microservices for automation and governance.

Responsibilities

Hands-on practitioner leveraging AWS core services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Owns the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develops LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Builds cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborates with internal stakeholders to translate business goals into secure, scalable AI systems.
Owns the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Supports the development and evolution of reusable platform components for AI/ML operations.
Creates and maintains technical documentation for the team and internal customers.
Excellent verbal and written communication in English.

Requirements

Minimum seven years of hands-on software engineering experience with strong Python expertise.
Proficiency with AWS services, notably Bedrock and SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Strong background in RAG architectures and LangChain.
Proven infrastructure as code practices and Terraform module development for AWS.
Solid Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Python
Bedrock
SageMaker
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
GitHub
Hugging Face
Node.js
Golang
AWS
SCP
AWS Config

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience such as Terraform Sentinel
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices including PII handling and secure model deployment

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2d ago

Backend/AI Engineer

Left Main REI Charlotte, NC 🇺🇸 Remote

Charlotte, NC

2d ago

$100k - $140k/yr Full time Backend Developer Ai Workflows Amazon Web Services

Apply Now

Job Description

Left Main REI is seeking a Backend/AI Engineer to design, build, and evolve backend services, data infrastructure, and GenAI-enabled features across Left Main products, with integrations to AWS, Snowflake, and Salesforce.

Responsibilities

Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products with Salesforce, Snowflake, AWS, and external data providers.
Develop and operate serverless and cloud-native architectures using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, and Kinesis.
Create robust data-processing pipelines for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery into customer-facing applications.
Design Snowflake-backed workflows with SQL transformations, stored procedures, Snowpark or Python processing, and performance tuning.
Architect and implement GenAI driven capabilities, including role-based agents, retrieval-augmented generation, prompt workflows, AI-assisted analysis, customer-facing copilots, and internal productivity tools.
Prototype new AI use cases, assess feasibility, and transition promising experiments into secure, reliable production services.
Collaborate with Salesforce engineers to define integration patterns using Platform Events, APIs, asynchronous processing, and precise data contracts across Salesforce, AWS, and Snowflake.
Support predictive and ML-enabled use cases such as lead scoring, buyer scoring, property intelligence, recommendation workflows, anomaly detection, and customer insights.
Enhance reliability, observability, and operational maturity across backend systems through structured logging, monitoring, alerting, automated tests, and clear incident response practices.
Contribute to CI/CD, infrastructure automation, environment management, and deployment practices for backend and data services.
Bring ideas, technical curiosity, and product-minded thinking to roadmap discussions, architecture reviews, and innovation planning.

Requirements

2+ years of professional backend engineering experience building production-grade APIs, services, data workflows, or cloud-native systems.
Strong hands-on experience with Python for backend development, scripting, automation, data processing, or AI/ML workflows.
Experience building RESTful APIs and integrating systems through APIs, webhooks, event-driven patterns, or message-based architectures.
Solid working knowledge of AWS, particularly serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar.
Strong SQL skills and experience with modern data warehouses, preferably Snowflake.
Proven ability to design reliable, secure, observable, cost-conscious, and maintainable systems.
Familiarity with modern AI and GenAI development patterns, including LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
Ability to use contemporary AI development tools such as ChatGPT, Claude, Cursor, or GitHub Copilot to improve development speed, code quality, and documentation.
Experience with CI/CD pipelines, GitHub Actions, automated testing, infrastructure as code, or deployment automation.
Comfort working in a fast-moving startup environment where priorities evolve and engineers are expected to own outcomes beyond individual tickets.
Strong communication and collaboration skills to partner across product, engineering, data, Salesforce, and leadership teams.

Technologies

Python
AWS
Lambda
API Gateway
S3
IAM
CloudWatch
EventBridge
Kinesis
SQS
SNS
Snowflake
Snowpark
SQL
Salesforce
Salesforce Platform Events
GitHub Actions
GitHub Copilot
Cursor
ChatGPT
Claude
LLM APIs
prompt engineering
RAG
embeddings
vector databases

Benefits

401(k)
401(k) matching
Dental insurance
Flexible remote work arrangements
Life insurance
Paid time off
Vision insurance
Health insurance
Opportunities for professional growth and development
Collaborative and inclusive work culture
Salesforce certification incentives
Flexible schedule
Professional development assistance

Compensation

Salary range: USD 100,000 to 140,000 per year
Pay range: $100,000 - $140,000 per year
Generous benefits package
Paid holidays

Location and Work Arrangement

Location: Charlotte, NC, with remote work options

Work arrangement: Remote

Job type: Full-time

Licenses and Certifications

Salesforce Certification (Required)

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3d ago

AWS AI Engineer

Hudson Manpower Scottsdale, AZ 🇺🇸 Remote

Scottsdale, AZ

3d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Senior AI AWS Engineer focused on building AI and ML applications on AWS, including retrieval-augmented generation systems, fine-tuning LLMs, and AWS-native microservices in a remote US setting.

Responsibilities

Engage hands-on with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services across infrastructure, machine learning, and AI platform layers.
Develop LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Partner with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Communicate effectively in English, both verbally and in writing.

Requirements

7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, especially Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Proven experience with AWS organizations and policy guardrails such as SCPs and AWS Config.
Strong track record implementing RAG architectures and using LangChain.
Solid experience in Infrastructure as Code practices and building Terraform modules for AWS cloud.
Proficiency with Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

Python, Bedrock, SageMaker
Lambda, Step Functions, DynamoDB, S3, ECS
LangChain, Transformers, PyTorch, TensorFlow
Terraform, Terraform Sentinel
Hugging Face, Node.js, Golang
Git, GitHub

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance
Eligible for referral bonuses

Top Skills

Must Have AWS services Bedrock, SageMaker, ECS, and Lambda
Experience with AWS organizations and policy guardrails (SCP, AWS Config)
Experience implementing RAG architectures with LangChain and ML tooling (Transformers, PyTorch, TensorFlow)
Infrastructure as Code best practices and Terraform module development for AWS
Fine-tuning LLMs, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
Nice to have AWS or relevant cloud certifications
Nice to have data privacy and compliance practices (PII handling, secure model deployment)
Nice to have data science background or experience with structured/unstructured data
Nice to have exposure to FinOps and cloud cost optimization
Nice to have Hugging Face, Node.js
Nice to have Policy as Code development (Terraform Sentinel)

Supervisory Responsibilities

None

Minimum Knowledge, Skills, and Abilities Required

7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, especially Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Proven experience with AWS organizations and policy guardrails (SCP, AWS Config).
Strong track record implementing RAG architectures and using LangChain.
Solid experience in Infrastructure as Code practices and building Terraform modules for AWS cloud.
Proficiency with Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

What You'll Get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance
Referral bonuses eligibility

View full job page →

4d ago

AWS AI Engineer

Hudson Manpower Wilmington, NC 🇺🇸 Remote

Wilmington, NC

4d ago

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

Senior AI and AWS engineer focused on delivering production-grade AI/ML capabilities on AWS, including retrieval-augmented generation, LLM fine-tuning, and cloud-native microservices in an enterprise setting.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3
Design and implement AWS cloud services spanning infrastructure, machine learning, and AI platform tooling
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform
Support the development and evolution of reusable platform components for AI/ML operations
Create and maintain technical documentation for the team and internal customers
Exhibit excellent verbal and written communication skills in English

Requirements

7 years of hands-on software engineering experience with a strong focus on Python
Experience with AWS services, especially Bedrock or SageMaker
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config)
Solid experience implementing RAG architectures and LangChain
Experience in Infrastructure as Code best practices and building Terraform modules for AWS
Strong background in Git-based version control, code reviews, and DevOps workflows
Proven success delivering production-ready software with release pipeline integration

Technologies

Python
Bedrock
SageMaker
ECS
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
GitHub
Hugging Face
Node.js
Golang
AWS Config
SCP
AWS Organizations

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

Top Skills

AWS services including Bedrock, SageMaker, ECS, and Lambda
Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
Proficiency in RAG architectures and ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code practices and Terraform module development for AWS
Fine-tuning LLMs, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
AWS or relevant cloud certifications
Data privacy and compliance best practices (PII handling, secure model deployment)
Data science background or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face, Node.js
Policy as Code development (Terraform Sentinel)

What you'll do

Design, build, and operate AI/ML applications in the cloud with real infrastructure, data, and users
Develop retrieval-augmented generation systems and fine-tuned LLMs for production use
Create cloud-native microservices and serverless components to support automation and real-time processing
Collaborate with stakeholders to convert business needs into secure, scalable AI solutions
Own the release lifecycle, CI/CD pipelines, GitHub SDLC, and infrastructure as code with Terraform
Contribute to reusable platform components for AI/ML operations
Maintain technical documentation for internal teams and customers