Vertex Ai

Vertex Ai Developer Jobs

4 jobs found

5d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

5d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Everforth invites you to join as an Analytics Engineer, shaping data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. This Bristol, PA based role supports remote work and collaborates across data science, analytics, and engineering teams to standardize metrics, elevate data quality, and enable self service analytics across the organization.

Responsibilities

Design, develop, and maintain reliable ELT/ETL pipelines using dbt Core and SQL to target BigQuery.
Create modular, tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure dependable analytics outputs and service levels.
Partner with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when suitable.
Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Expert-level SQL proficiency and strong Python experience for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and incorporating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorized to work in the United States without sponsorship.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform
Cloud Run
RESTful APIs
LLM APIs
Vertex AI
FastAPI

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7d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

7d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Everforth is seeking a Senior Data Engineer - Analytics for a 100% remote role. You will design, build, and maintain analytics infrastructure, data models, ELT and ETL pipelines using dbt Core and SQL, and RESTful APIs to power dashboards, ML features, and self service analytics.

This fully remote position focuses on creating scalable data foundations and reliable analytics outputs. You will collaborate with product, analytics, and ML teams to define metrics and translate business requirements into performant data models, optimize BigQuery workloads, and uphold data quality, observability, and SLAs. You will document data models and runbooks and mentor teammates on dbt, SQL, and analytics engineering.

Responsibilities

Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Author modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Experience working with Healthcare Claims Data.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features.
Nice to have: domain knowledge of healthcare claims and related data models.
US work authorization required: You must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
RESTful APIs
LLM APIs

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19d ago

AI Software Engineer

TEKWISSEN SOFTWARE PRIVATE LIMITED Dallas, TX

Dallas, TX

19d ago

$85 - $95/hr Contract Ai Agents Ai Workflows Anthropic

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Job Description

This contract role is for a hands-on AI Native Software Engineer who will design, build, and deploy production-grade AI systems within enterprise environments. The work centers on agent-based workflows, AI platform integration, and scalable cloud-native development, with responsibilities spanning model-agnostic interfaces, platform orchestration, and robust production practices. The position is based onsite in Dallas, TX.

Job Details

Location: Dallas, TX (onsite)
Salary: USD 85 - 95 per hour
Job type: Contract
Experience required: 8+ years

Overview

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan. The organization delivers strategic talent solutions to clients worldwide, supporting a range of enterprise technology initiatives.

Responsibilities

AI Agent Engineering: design and implement AI agents, including retrieval (RAG), orchestration workflows, tool and function invocation, policy-based routing; build evaluation frameworks for accuracy, latency, and reliability; establish observability and monitoring for agent lifecycles
AI Platform Integration: connect with AI providers (OpenAI, Anthropic, Vertex AI, and open-source models); create abstraction layers to support multi-model and multi-provider architectures; optimize model usage for performance, cost, and latency
Cloud-Native Development: develop scalable services using microservices, containers (Docker, Kubernetes), serverless and event-driven patterns; implement CI/CD pipelines and infrastructure as code (Terraform, Helm); ensure production readiness with logging, monitoring, and fault tolerance
Application Development: build and deploy AI-powered applications aligned to business workflows; integrate AI systems into existing enterprise platforms and APIs; develop backend services and APIs supporting agent workflows
Testing & Performance: define and execute test strategies for AI systems; measure latency, throughput, accuracy, and cost; diagnose and optimize production systems

Requirements

8–10+ years of software engineering experience
Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
Proficiency in Python, Java, or similar backend languages
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Technologies

Python
Java
Docker
Kubernetes
Terraform
Helm
OpenAI
Anthropic
Vertex AI
Claude
LangGraph
AutoGen
CrewAI
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools

Experience with

CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Preferred Experience

Experience with agent frameworks (LangGraph, AutoGen, CrewAI)
Designing multi-agent or distributed AI systems
Familiarity with enterprise-scale system integration
Experience optimizing AI workloads for cost and performance

Scope & Expectations

This is a 100 percent hands-on engineering role with no people management responsibilities. The incumbent will deliver production-quality code and deployments, operate within existing architecture and engineering standards, and collaborate with client and internal engineering teams as needed. Participation in implementation-focused technical design discussions is expected.

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1mo ago

Senior Software Engineer, AI Solutions

Uncommon Schools New York, NY

New York, NY

1mo ago Closed

$121k - $142k/yr Full time Backend Developer Senior AI

This position is no longer accepting applications (closed Jun 24, 2026).

Job Description

Join a mission-driven organization that supports professional growth and well-being for its team. This onsite role in New York, NY offers a robust benefits package and a collaborative culture that values mentorship, learning, and practical AI impact across Uncommon Schools. Enjoy paid time off, organized holidays, comprehensive health coverage, retirement matching, paid leave options, mental health resources, and pre-tax savings accounts to support your work and life balance.

Benefits

Paid time off (19 days)
Paid Winter and Summer org-wide holidays (3 weeks)
Health, Dental, and Vision insurance
403(b) retirement savings program with employer match
Paid leave of absence options (parental, medical, disability, etc.)
Mental health and counseling support and wellness benefits
Pre-tax flexible spending, dependent care, and health saving accounts

Work Environment

Location: In-person role based in New York, NY with at least three days per week at the Central Office located at 100 Church Street.
On-call: On-call availability for data infrastructure emergencies.
After-hours: Occasional work outside standard hours for data migrations, emergency pipeline fixes, and critical infrastructure maintenance.
Travel: Minimal travel, including quarterly school visits and routine local travel within the region.
Physical demands: Minimal physical requirements; primarily desk-based work.

Responsibilities

Gather requirements from stakeholders across Uncommon to translate business challenges into end-to-end AI system specifications.
Design and architect AI solutions, including data flows, model selection, and integration patterns that balance innovation with reliability.
Collaborate with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals.
Rapidly prototype and develop proofs of concept and minimum viable products using LLMs, Retrieval-Augmented Generation pipelines, and AI agent frameworks.
Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring.
Build secure API integrations and data pipelines that enable safe interaction between AI systems and core Uncommon databases, mitigating errors and data hallucination.
Establish reusable AI stack templates and low-code tools to empower non-technical team members to build solutions independently.
Maintain comprehensive documentation of AI environments, tools, and data flows to sustain organizational clarity and consistency.
Collaborate with Data & IT product managers to determine implementation pathways and data architecture across systems.
Develop and maintain a library of Prompt Blueprints and best practices for organization-wide AI adoption.
Ensure 100 percent compliance with security audits regarding personally identifiable information handling within AI systems.
Coach and support adjacent teams on AI development methodologies and emerging best practices.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience
7+ years of professional software development experience
5+ years of hands-on experience building integrations using APIs between applications
5+ years working with source control and continuous integration tools such as GitLab
Proficiency coding or scripting in at least one language (Python, SQL, JavaScript/TypeScript, or Node.js)
Experience with frequent, incremental code testing and deployment practices
Strong understanding of automation tools and SDLC methodologies

Technologies

Python
SQL
JavaScript/TypeScript
Node.js
GitLab
LangChain
LlamaIndex
TensorFlow
PyTorch
AWS Bedrock
SageMaker
Google Cloud Vertex AI
dbt
Airflow
Retrieval-Augmented Generation (RAG)

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Vertex Ai Developer Jobs

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

AI Software Engineer

Senior Software Engineer, AI Solutions

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