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Openai Engineer Jobs

86 jobs found

1d ago

AI Engineer - Azure

Cognizant Washington, DC

Washington, DC

1d ago

$110k - $135k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Build and operate production-grade generative AI systems on Microsoft Azure, with ownership across RAG, agentic workflows, evaluation, and monitored deployments. This onsite role in Washington, DC offers a competitive salary range of $110,000–$135,000, plus eligibility for Cognizant’s discretionary annual incentive program.

You will design end-to-end AI solutions that prioritize quality, reliability, and responsible AI, using modern orchestration and observability tooling, and deploying services through CI/CD with containerization.

Responsibilities

Design and implement end-to-end RAG pipelines, including data ingestion, embedding generation, vector database management, and retrieval optimization.
Develop and maintain APIs to orchestrate RAG workflows, covering retrieval, prompt handling, and model interaction.
Build orchestration and multi-step reasoning workflows using Semantic Kernel, LangChain, or LangGraph, incorporating tool use and memory.
Integrate LLMs such as Azure OpenAI and tune prompts to balance accuracy, performance, and cost.
Implement observability, monitoring, and evaluation using LangSmith and Azure monitoring tools to track output quality, latency, and hallucination rates.
Troubleshoot and improve retrieval quality, grounding accuracy, and response relevance.
Deploy and manage AI services on Azure using CI/CD pipelines and containerization.
Build and maintain scalable web applications using Python, Node.js, and React.
Apply responsible AI practices using guardrails, security controls, and compliance standards.

Requirements

Hands-on Python experience for backend services and automation.
Hands-on experience with LangChain and/or LangGraph.
Experience with RAG, embeddings, and vector search.
Hands-on experience with Azure OpenAI and Azure AI Search.
Proficiency with REST APIs, JSON, and Git.

Benefits

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Nice to Have

JavaScript experience (React, Node.js)
Docker and container-based deployments
Experience with Azure services such as Azure Container Apps or AKS, Azure Functions, Azure Monitor/Application Insights, and Key Vault

Salary and Other Compensation

The annual salary for this position is $110,000–$135,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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2d ago

Senior AI Engineer

NewVision Softcom & Consultancy San Francisco, CA

San Francisco, CA

2d ago

Full time Backend Developer Senior Artificial Intelligence

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Job Description

Build AI-powered compliance capabilities on Azure as an individual contributor with NewVision Softcom & Consultancy. This onsite role in San Francisco, CA focuses on hands-on development of an AI-driven compliance platform supporting investment and tax-related workflows. You will design and deliver solutions that ingest, classify, extract, standardize, and process client data across the Microsoft Azure ecosystem using Python and Azure AI services.

Responsibilities

Design, develop, and implement AI-powered compliance solutions using Python and Azure services.
Build data ingestion and transformation pipelines to process client information end to end.
Create workflows to classify, extract, standardize, and enrich data using Azure AI services.
Implement and maintain Azure Functions for event-driven, serverless processing.
Integrate AI services and business workflows with downstream compliance systems.
Map client data into standardized internal schemas and data models.
Develop REST APIs, microservices, and workflow orchestrations to support complete processing.
Maintain high code quality through testing, debugging, optimization, and code reviews.
Collaborate with architects, AI engineers, and business stakeholders to align technical delivery with compliance needs.
Support integration of processed outputs into tax data warehouses and compliance platforms.

Requirements

5+ years of hands-on Python development experience.
Strong experience building scalable backend applications, APIs, and services with Python.
Experience with Azure OpenAI, Azure AI Foundry, and Azure AI Services / Cognitive Services.
Strong knowledge of the Microsoft Azure cloud platform.
Hands-on experience with Azure Functions.
Experience designing and implementing AI-enabled workflows and automation solutions.
Understanding of data processing, transformation, and integration patterns.
Experience consuming and integrating REST APIs and cloud services.
Ability to independently design, develop, test, and deliver production-ready solutions.

Technologies

Python
Azure AI Services
Azure OpenAI
Azure AI Foundry
Azure AI Services / Cognitive Services
Azure Functions
Microsoft Azure
REST APIs
Microservices

Good to Have

Experience with AI/LLM-based application development and orchestration.
Experience in document processing, information extraction, and classification.
Knowledge of workflow orchestration frameworks and event-driven architectures.
Experience with Azure DevOps, CI/CD pipelines, and automated deployments.
Understanding of data warehousing concepts and structured data models.
Experience working on compliance, regulatory, governance, or audit-related solutions.
Familiarity with monitoring, logging, and observability in Azure.

Nice to Have

Experience in Financial Services, Tax, Compliance, or Regulatory domains.
Knowledge of Generative AI application development and prompt engineering.
Exposure to Responsible AI and AI Governance frameworks.
Experience integrating multiple AI models/services in a single business workflow.
Familiarity with investment management or tax filing workflows.
Exposure to serverless and cloud-native architecture best practices.

Behavioral Requirements

Strong ownership mindset with the ability to drive deliverables independently.
Hands-on developer who enjoys coding and solving technical problems.
Excellent analytical and troubleshooting skills.
Ability to work effectively in a remote and distributed team environment.
Strong verbal and written communication skills.
Collaborative approach across technical and business teams.
Adaptability to evolving requirements and emerging AI technologies.
Prioritizes quality, maintainability, and scalability.
Results-oriented with a focus on delivering business value.
Self-motivated learner who stays current with Azure AI and Generative AI advancements.

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4d ago

Senior Associate - Software Engineer - Investment Technology

New York Life New York, NY

New York, NY

4d ago

$124k - $177k/yr Full time Senior Angular APIs

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Job Description

New York Life, within Tech Data AI Ventures, is hiring a Senior Associate Software Engineer (Investment Technology) to design, build, and advise on enterprise-grade investment technology solutions. This is a hybrid position based in New York, NY with an expectation of 3 days per week in the office.

Role Overview

In this role, you will contribute to the delivery of scalable software capabilities, including AI-enabled functionality. The position combines hands-on engineering with technical advisory responsibilities across cross-functional teams, including collaboration with global partners.

Responsibilities

Design, code, and build scalable and high-performance applications
Partner with cross-functional teams to deliver enterprise-quality software solutions
Conduct POCs and develop prototypes for emerging business and technology challenges
Serve as a key technical advisor by contributing to product vision and innovation
Design and develop reusable components and modern capabilities
Continuously explore technology advancements and propose improvements
Communicate complex ideas clearly and collaborate across global teams, including offshore teams
Work independently and as part of a team to meet fast-paced deadlines

Requirements

5–12 years of hands-on software development experience
Solid understanding of the full SDLC (Software Development Lifecycle)
Proficiency with both Agile and Waterfall methodologies
Experience leveraging AI-assisted development tools to support software design, development, testing, documentation, debugging, and engineering productivity
Working knowledge of Generative AI, Large Language Model APIs (OpenAI, Anthropic, Google Gemini), prompt engineering, and Retrieval-Augmented Generation (RAG) in enterprise software solutions
Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, Google Cloud Platform, or Microsoft Azure)
Strong grasp of application integration via APIs, including vendor systems
Flexible mindset to work across different platforms and projects
Strategic thinking with awareness of business needs and regulatory pressures
Interest in technology, ideally with experience in the investment domain
Up-to-date knowledge of architecture trends and systems best practices

Technology Stack

Experience with a broad set of tools and platforms is expected, including the .NET technology stack, Web API, NodeJS, Angular, React, Python, ASP.NET MVC, JavaScript, CSS, jQuery, AJAX, HTML5, SharePoint Online, PowerShell, Databricks, Snowflake, vector databases, Oracle, SQL, Postgres, Redshift, NoSQL, AWS, Google Cloud Platform, Microsoft Azure, Tableau, Business Objects, Crystal Reports, Git, Team Foundation Server (TFS), JIRA, CI/CD pipelines, Aspose, Kendo UI, Telerik, Angular Material UI, Docker, Kubernetes, OpenAI, Anthropic, and Google Gemini.

Compensation and Pay Transparency

Salary Range: USD 124,000 to 177,000 per year
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
The actual base salary will be determined based on several factors, including experience, skills, qualifications, and job location.
Employees are eligible for an annual discretionary bonus.

Benefits

Full package of benefits for employees
Leave programs
Adoption assistance
Student loan repayment programs
Annual discretionary bonus
Eligibility to participate in an incentive program (may apply)

Additional Details

Location: New York, NY (Hybrid - 3 days per week)
Department / Job Function: Tech Data AI Ventures
Job Level: LEVELPF4
Requisition ID: 95212
Location designation: Hybrid - 3 days per week

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5d ago

Senior AI Software Engineer

City National Bank of Florida Coral Gables, FL

Coral Gables, FL

5d ago

Full time Backend Developer APIs Artificial Intelligence

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Job Description

City National Bank of Florida is seeking a hands-on Senior AI Software Engineer to architect, develop, and deploy secure, scalable, production-grade AI applications and agentic workflows. This role is focused on Python-based backend services, LangGraph and LangChain orchestration, and enterprise RAG implementations on Azure with an emphasis on production operations.

Responsibilities

Design and implement production-grade AI applications and backend services using Python, FastAPI, and modern engineering practices.
Lead technical implementation of stateful, multi-step agentic workflows using LangGraph and LangChain v1.
Implement graph state management and workflow controls including conditional routing, checkpointing, retries, recovery, idempotency, and controlled execution.
Build enterprise RAG architectures covering ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, metadata filtering, and source-grounded generation.
Integrate Azure OpenAI, enterprise APIs, document repositories, databases, and internal systems using secure API contracts.
Design and implement MCP servers and tools, including authentication, authorization, input validation, and appropriate access controls.
Create reusable application components, API interfaces, shared libraries, and common AI engineering patterns.
Implement human-in-the-loop approval gates, workflow state persistence, audit trails, and safeguards to prevent unauthorized downstream actions.
Establish automated quality gates for unit testing, integration testing, retrieval evaluation, agent behavior, security, and regression testing.
Engineer for reliability, scalability, latency, cost, observability, and maintainability.
Implement secure cloud application patterns using Azure identity, managed identities, Key Vault, network controls, and secrets management.
Containerize and deploy services via CI/CD pipelines to Azure Container Apps (ACA), using Azure Kubernetes Service (AKS) where workload requirements justify it.
Integrate Azure Monitor and application telemetry for logs, metrics, tracing, incident investigation, and operational support.
Review code, guide implementation decisions, troubleshoot complex production issues, and mentor other engineers while remaining an active developer.
Partner with AI leadership, application teams, architecture, cybersecurity, model risk, legal, and business stakeholders to deliver governed banking AI solutions.

Requirements

Approximately 8 years of professional software engineering experience, including substantial hands-on Python development.
Strong understanding of software architecture, design patterns, SOLID principles, concurrency, asynchronous programming, API design, and distributed systems.
Experience with FastAPI (or equivalent), Pydantic, SQL, Git, pytest, and automated code-quality practices.
Demonstrated ability to design, implement, test, deploy, and troubleshoot production services.
Hands-on experience delivering LLM-powered applications beyond proof-of-concept.
Practical knowledge of LangGraph and LangChain (direct LangGraph experience strongly preferred).
Experience with stateful workflows, tool calling, conditional execution, structured outputs, retries, failure recovery, and human approval patterns.
Strong knowledge of end-to-end RAG, embeddings, vector and hybrid search, reranking, grounding, and retrieval evaluation.
Experience designing repeatable LLM evaluation and regression-testing strategies.
Ability to diagnose hallucinations, retrieval failures, prompt-injection risks, tool misuse, and inconsistent agent behavior.
Hands-on experience with Azure OpenAI and preferably Azure AI Search.
Experience with Azure identity and security services, including managed identities and Key Vault.
Experience with Docker, CI/CD, cloud deployments, automated testing, monitoring, and production troubleshooting.
Experience building secure APIs and integrating enterprise systems.
Strong understanding of authentication, authorization, least privilege, data protection, and auditability.

Technologies

Python, FastAPI, LangGraph, LangChain v1, Azure OpenAI, Azure AI Search, MCP
Pydantic, SQL, Git, pytest, Docker, CI/CD
Azure Container Apps (ACA), Azure Kubernetes Service (AKS)
Azure Monitor, Azure identity, managed identities, Key Vault, Azure Database for PostgreSQL, PostgreSQL
OpenTelemetry

Preferred Qualifications

Production experience implementing MCP servers and secure enterprise tools.
Experience with Azure Container Apps and Azure Kubernetes Service.
Experience with PostgreSQL or Azure Database for PostgreSQL, persistent workflow state, and object storage.
Experience with enterprise document processing and financial data extraction.
Experience with OpenTelemetry, distributed tracing, AI observability, latency optimization, and token-cost management.
Banking or other regulated-industry experience, especially credit, lending, fraud, or risk workflows.
Experience with model governance, explainability, human oversight, and responsible AI practices.

Location

Onsite in Coral Gables, FL 33134

Interview Guidelines

Applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information.

Equal Opportunity

City National Bank of Florida is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, and Florida law. We comply with the ADA and applicable Florida laws.

Accommodation Requests

Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request.

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11d ago

Principal AI Engineer – AI Acceleration & Enterprise Enablement

U.S. Bank National Association Charlotte, NC

Charlotte, NC

11d ago

$150k - $176k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

U.S. Bank National Association is seeking a Principal AI Engineer (senior individual contributor) in Charlotte, NC to help accelerate enterprise adoption of AI. This role blends hands-on engineering with technical leadership, focusing on high-value AI use cases and delivering secure, scalable, production-ready solutions. You will work across business and technology teams to build reusable frameworks and intelligent automation capabilities, while mentoring engineering teams to grow AI engineering expertise.

What you’ll be doing

Design, build, and deliver enterprise AI and Generative AI solutions from concept through production.
Develop scalable AI systems using Python, APIs, pipelines, and cloud AI services.
Create solutions for complex structured and unstructured information, including document intelligence, data extraction, and workflow automation.
Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases.
Build reusable AI frameworks, accelerators, components, and integration patterns that improve delivery speed and consistency.
Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches for the enterprise environment.
Establish strong engineering practices spanning testing, security, software quality, scalability, and deployment.
Provide technical leadership and mentoring to expand AI capabilities across the organization.

Required qualifications

Bachelor’s degree, or equivalent work experience.
8+ years of relevant experience.

Tools and technologies

Python
LLMs, Agentic AI, RAG, prompt engineering
APIs, pipelines
Cloud AI services
Azure AI, Azure OpenAI

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Location and schedule

This role requires working from a U.S. Bank location in Charlotte, NC at least three (3) or more days per week.

Salary: USD 149,515 - 175,900 per year.

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11d ago

AI Engineer / Search Engineer

Certified Technical Experts, Inc. Peachtree Corners, GA

Peachtree Corners, GA

11d ago

$96k - $100k/yr Full time Backend Developer Ai Engineer Ai/ml Data Engineering

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Job Description

Certified Technical Experts, Inc. is hiring an AI Engineer / Search Engineer to design, implement, tune, test, and support AI and enterprise search capabilities for FLRA’s Intelligent Document Processing and AI-Enabled Search initiative within an approved Microsoft 365 GCC/Azure environment.

Responsibilities

Design and implement AI-enabled search for FLRA bargaining unit records
Configure and optimize Azure AI Search indexes, including fields, filters, analyzers, semantic configurations, and vector search
Build keyword, Boolean, full-text, metadata, semantic, and vector-based search functionality
Develop and support natural-language question answering and source-grounded responses using Azure OpenAI or other approved AI services
Implement Retrieval-Augmented Generation (RAG) using FLRA documents, extracted metadata, and search indexes
Generate, store, and manage embeddings for semantic and vector retrieval
Ensure AI-generated answers cite or reference the originating Government documents
Support document classification, metadata extraction, and confidence scoring using Azure AI Document Intelligence and related AI capabilities
Create logic to identify and maintain relationships among bargaining unit records, including amendments, consolidations, reorganizations, revocations, successorship determinations, and related cases
Develop and tune relevance ranking strategies to improve search accuracy and usability
Configure metadata filters and structured retrieval using FLRA-required fields such as agency, bargaining unit, labor organization, case number, docket number, certification type, dates, region, and location
Support human-in-the-loop validation workflows for reviewing AI-generated classifications and metadata
Develop evaluation methods for search quality, retrieval relevance, classification accuracy, metadata extraction, and AI response quality
Tune prompts, retrieval strategies, chunking approaches, embeddings, and search configurations based on testing and Government feedback
Implement guardrails to keep AI responses grounded in authorized FLRA content and prevent unsupported information
Support automated ingestion and indexing of newly received documents
Work with the Azure Platform & Integration Engineer to integrate AI/search services with SharePoint, APIs, Azure services, and application components
Participate in system integration testing, UAT, defect resolution, production deployment, monitoring, and performance tuning
Maintain technical documentation covering AI models, prompts, search configurations, index schemas, evaluation methods, and operational procedures
Follow Federal security requirements, including CUI protection, FedRAMP-authorized services, least-privilege access, and NIST SP 800-53 controls

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related field, or equivalent professional experience
5+ years of software, search, AI, machine learning, or data engineering experience
3+ years of hands-on experience with enterprise search, AI/ML, or cloud-based AI solutions
Strong hands-on experience with Azure AI Search or comparable enterprise search technology
Experience with semantic search, vector search, embeddings, similarity search, and relevance ranking
Experience implementing RAG solutions
Experience with Azure OpenAI, OpenAI APIs, or comparable large-language-model platforms
Experience developing source-grounded question-answering solutions
Strong experience with Python, C#/.NET, or similar programming languages
Experience with Azure AI Document Intelligence or comparable OCR/document-processing technology
Experience with document classification and structured metadata extraction
Experience working with unstructured content such as PDFs, scanned documents, and OCR-generated text
Experience designing search index schemas, metadata models, filters, and query strategies
Experience with text chunking, embedding generation, vector indexing, and retrieval strategies
Experience with prompt engineering and LLM integration
Experience evaluating and tuning search relevance and AI-generated responses
Understanding of hallucination mitigation, grounding, citations, confidence scoring, and responsible AI practices
Experience integrating AI/search services with REST APIs, Azure services, or enterprise applications
Familiarity with Microsoft SharePoint, Microsoft Graph API, and Microsoft 365 environments
Experience with Git-based source control, CI/CD, testing, and deployment practices
Understanding of secure cloud development, identity management, and least-privilege access
Strong analytical, troubleshooting, communication, and technical documentation skills
Ability to work closely with team and Government stakeholders
Ability to successfully complete required FLRA personnel security vetting

Technologies

Azure AI Search
Azure OpenAI
Azure AI Document Intelligence
Embeddings
Retrieval-Augmented Generation (RAG)
Natural-language question answering
Vector search
Semantic search
Python
C#/.NET
OpenAI APIs
Microsoft SharePoint
Microsoft Graph API
Microsoft 365
REST APIs
Git-based source control
CI/CD
FedRAMP
NIST SP 800-53

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Data Engineer Associate
Microsoft Applied Skills related to Azure AI Search, Azure OpenAI, or generative AI
CompTIA Security+ or equivalent security certification

Location and Compensation

Onsite: Peachtree Corners, GA
Salary: USD 96,100 - 100,000 per year

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16d ago

AI Engineer

ProcyonIT Charlotte, NC

Charlotte, NC

16d ago

$60 - $75/hr Contract Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Work onsite in Charlotte, NC as a contract AI Engineer for ProcyonIT. This role focuses on building practical AI agents and copilots that connect to enterprise data and systems, with clear engineering ownership across RAG, knowledge graphs, and evaluation. If you enjoy turning AI prototypes into reliable solutions, you will have the chance to work hands-on across Microsoft Copilot Studio, LLM tooling, and integration with APIs.

Pay: $60.00 - $75.00 per hour (Contract W2).
Schedule: 3 days onsite.
Location: In person, Charlotte, NC.

Responsibilities

Design and build AI agents and copilots using Microsoft Copilot Studio.
Develop RAG pipelines including ingestion, embedding, indexing, retrieval, and generation.
Build and query knowledge graphs to improve answer accuracy.
Integrate AI solutions with enterprise systems and APIs.
Evaluate and optimize output quality, latency, and cost.

Requirements

10+ years total IT experience, including 4+ years delivering AI/GenAI solutions.
Hands-on experience with Microsoft Copilot Studio.
Strong RAG experience and vector databases such as Azure AI Search, Pinecone, or FAISS.
Experience with knowledge graphs (for example Neo4j or Cosmos DB Gremlin).
Experience using LLM frameworks such as Azure OpenAI, LangChain, or Semantic Kernel.
Proficiency in Python and REST APIs.
Cloud experience, preferably Azure.

Helpful Background (Preferred)

Experience with Power Platform, including Power Automate and Dataverse.
Microsoft AI certifications.

Palo Alto, CA

2mo ago Closed

$110k - $120k/yr Full time Backend Developer Python AI

2mo ago

Sr AI Engineer - Data

Dallas, TX

3mo ago Closed

Full time Ai Workflows Artificial Intelligence Azure Openai

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