Jobs in the United States

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Added 29 mins ago
O
Full Stack Developer (React.js, Python)
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
Your work at Peregrine Advisors will cover both development and support for cloud-native Python services running on Amazon Web Services (AWS). But we hire people, not seats. As the work…
Added 29 mins ago
O
Senior Full Stack Developer (React.js, Python)
OpenDataJobs
Remote, United States
- $150,000 to $180,000 USD / year
At Peregrine Advisors, you will take cloud-native Python services from refinement through production on Amazon Web Services (AWS), retaining ownership of each service's design and delivery…
Added 29 mins ago
Front-End Developer Role
OpenDataJobs
Remote, United States
…complete work. Working in modern component frameworks such as React, they translate user and product needs into components, interactions, forms, navigation, and stateful workflows using…
Added 38 mins ago
Full Stack Engineer, Applied AI – AI Platform for Life Sciences
MaxIT Consulting - Max Corporate Group
Los Altos · Los Altos, CA
Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States
Added 38 mins ago
Full-Stack AI Engineer – Python, React/TypeScript & LLM Workflows (Bay Area)
MaxIT Consulting - Max Corporate Group
Los Altos · Los Altos, CA
Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States
Added 1 hour ago
Senior Software Engineer, Elixir
Jobgether
Remote, United States
…executing complex tasks. Working primarily with Elixir and React with TypeScript, you will contribute to the development of cloud-native applications and advanced AI-powered workflows. You…
Added 1 hour ago
ND
Senior .NET Full stack Developer
NTT Data Americas, Inc.
Bala Cynwyd, PA
- $60 to $69 USD / hour
Position Title: Senior .NET Full Stack Developer
Added 1 hour ago
Principle Full stack Developer
CGI Technologies and Solutions, Inc.
Pittsburgh, PA
CGI is seeking an experienced Full Stack Java Software Developer at the Expert level to provide technical leadership in the design, development, modernization, and delivery of complex…
Added 1 hour ago
Sr Fullstack Developer
CGI Technologies and Solutions, Inc.
Pittsburgh, PA
Are you an experienced software developer who enjoys building robust, scalable applications and providing technical leadership? CGI is seeking a Full Stack Java Software Developer at the…
Added 2 hours ago
Senior Frontend Developer
Jobgether
Remote, United States
As a Senior Frontend Developer, you will play a key role in building and enhancing modern, high-performance web applications used by a global audience. You will work primarily with React…
Added 3 hours ago
Full Stack Developer with Healthcare
Radiant Digital
Austin, TX
Added 4 hours ago
Software Development Engineer - Developer Platform
Workday, Inc.
CO
The Developer Platform team is building the foundation for Workday's open developer ecosystem. We design and deliver the platform capabilities, APIs, SDKs, and developer-facing services…
Added 6 hours ago
C
Software Engineer, Autonomous Revenue Operations
Commure
Mountain View, CA
- $170,000 to $190,000 USD / year
…autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+…
Added 6 hours ago
TT
Staff Full-Stack Engineer, Core Application
True Talent Solutions Partners
Oakland, CA
- $240,000 to $275,000 USD / year
Join a product engineering team building an AI-native application for scientific research and development. You will help bring the core product and agentic AI capabilities together so…
Added 6 hours ago
Software Engineer I, Commerce
Twitch Interactive, Inc.
Seattle, WA · San Francisco, CA
- Proficient coding skills in modern languages and frameworks such as Go, React, Kotlin, Swift, Objective-C etc
Added 6 hours ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
Added 7 hours ago
Software Development Engineer II
Blue Origin LLC
Seattle, WA
…be a key member of the team responsible for building our AI native systems that design, build and test our products using the latest AWS, Java, React, Python and GenAI…
Added 7 hours ago
Software Engineer (Platform Software Engineer), G&A Solutions Engineering (GSE)
Apple
TX
Added 7 hours ago
Senior Web Developer [C]
CAI Computer Aid, Inc.
United States
…Science, Engineering, or a related field; 5+ of experience using React in production environment, experience with Section 508 and WCAG 2.0 AA conformance, Experience integrating federated…
Added 7 hours ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
On-site in San Francisco, with a minimum of five days per week on-site.
Added 8 hours ago
Senior Software Engineer, Elixir
PDQ
Remote, United States
Build new features in Elixir and React with TypeScript while designing and operating agentic AI systems that perform multi-step reasoning, planning, and tool execution for our cloud-native…
Added 8 hours ago
16341 - Programmer Analyst 6
Smith Johnson Tech
Lansing, MI
The Lead Developer will provide technical leadership to the application development team, including the design, development, implementation, and support of complex Java applications within…
Added 9 hours ago
Lead Architect - Cloud Financial Management, Reporting and AI
JPMC page
Jersey City, NJ
Demonstrated experience delivering cloud-native architecture and engineering outcomes, including design, development, testing, and operational stability
Added 9 hours ago
T(
Full Stack Developer I
TCWGlobal (formerly TargetCW)
San Diego, CA
- $75,000 to $110,000 USD / year
Cloud Motion Technologies (CMT) is TCWGlobal's technology engine. CMT builds AI-native products, intelligent workflows, data systems, and automation layers that help redefine how modern…
Added 9 hours ago
T(
Full Stack Developer II
TCWGlobal (formerly TargetCW)
San Diego, CA
- $100,000 to $135,000 USD / year
As a Full Stack Developer II, you will play a crucial role in the development, implementation, and maintenance of our web-based applications. You will build on our TypeScript, Next.js,…

KData Inc.

AI Engineer – Generative AI & Agentic AI

United States

Apply on kdataai.zohorecruit.ca About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

Role Overview

The AI Engineer designs, develops, integrates, tests, and operates production-ready AI applications, with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and agentic workflows. The role turns product and business requirements into reliable software using foundation models, enterprise data, APIs, and cloud services. The AI Engineer works closely with AI Architects, software engineers, data engineers, product teams, and security stakeholders to deliver useful, secure, observable, and cost-aware AI capabilities such as conversational assistants, document intelligence, summarization, and knowledge Q&A.

Key Responsibilities

· Develop maintainable, tested Python services and components for GenAI applications, data processing, retrieval, and model integration.

· Implement prompt templates, structured outputs, tool/function calling, and model-provider integrations; evaluate and iterate based on task requirements.

· Build end-to-end RAG pipelines including document ingestion, parsing, cleaning, metadata extraction, chunking, embedding, indexing, retrieval, reranking, and context construction.

· Integrate vector and hybrid search systems; tune retrieval and grounding quality using relevant evaluation datasets and metrics.

· Develop agentic workflows with bounded tool use, state management, routing, retries, error handling, and human approval where needed.

· Integrate enterprise APIs, databases, document repositories, and business systems while respecting authentication, permissions, and data boundaries.

· Build application APIs and user interfaces or prototypes using frameworks such as FastAPI and Streamlit; collaborate with frontend engineers for production interfaces.

· Deploy and operate AI services in cloud environments; use containers, CI/CD, configuration management, and environment separation.

· Instrument applications with logs, traces, metrics, and feedback capture; monitor quality, latency, token usage, failures, and cost.

· Write unit, integration, retrieval, evaluation, and regression tests; participate in code reviews, documentation, and technical knowledge sharing.

· Apply security and responsible AI practices, including prompt-injection defenses, sensitive-data handling, output validation, and safe tool permissions.

Requirements

Mandatory Skills & Experience

Python & Software Engineering

· Strong practical Python skills, including writing modular, readable, maintainable, and testable code.

· Experience with common Python libraries such as NumPy, pandas, and Pydantic; familiarity with typing, packaging, virtual environments, and dependency management.

· Working knowledge of REST APIs, JSON, asynchronous programming (async/await), concurrency, exception handling, and API integration.

· Familiarity with Git, code reviews, unit testing (e.g., pytest), debugging, and basic software design principles.

Generative AI & LLM Application Development

· Hands-on experience building LLM-powered applications such as chat, summarization, extraction, document assistants, or question-answering systems.

· Understanding of tokens, context windows, prompt design, system instructions, temperature and other generation parameters, structured generation, and model limitations.

· Experience integrating hosted or open-source LLMs through APIs or model-serving endpoints.

· Ability to use streaming, caching, batching where appropriate, and asynchronous processing to improve responsiveness and manage costs.

RAG, Embeddings & Search

· Practical experience implementing RAG: document loading, parsing, chunking, embedding generation, vector indexing, retrieval, context assembly, and grounded response generation.

· Understanding of dense retrieval, keyword search (BM25), hybrid search, metadata filtering, query rewriting, and reranking.

· Familiarity with vector/search technologies such as FAISS, pgvector, Pinecone, Qdrant, Weaviate, Chroma, Milvus, Elasticsearch/OpenSearch, or cloud equivalents.

· Ability to evaluate retrieval and answer quality using test questions, relevance/groundedness checks, and feedback.

AI Frameworks & Agentic Workflows

· Experience with at least one current LLM application framework, such as LangChain or LangGraph; familiarity with framework abstractions and trade-offs.

· Experience or working familiarity with agentic workflow frameworks such as Microsoft Agent Framework / AutoGen, Semantic Kernel, or CrewAI.

· Understanding of tool/function calling, workflow state, routing, task decomposition, memory, retries, and human-in-the-loop patterns.

· Familiarity with MCP (Model Context Protocol) and secure integration of agents with tools or external services is desirable; where required by the role, treat as a core skill.

· Ability to implement bounded, testable workflows rather than relying on unconstrained autonomous behavior.

Cloud & Deployment (AWS, Azure, GCP)

· Hands-on deployment experience on at least one of AWS, Microsoft Azure, or Google Cloud Platform, with willingness and ability to work across cloud environments.

· AWS familiarity: Amazon Bedrock, SageMaker, S3, Lambda, ECS/EKS, IAM, and CloudWatch.

· Azure familiarity: Azure AI Foundry, Azure OpenAI where applicable, Azure Machine Learning, Azure Functions, AKS, Entra ID, and Azure Monitor.

· GCP familiarity: Vertex AI, Gemini, Cloud Storage, Cloud Run, GKE, BigQuery, and Cloud IAM.

· Understand cloud fundamentals including compute, storage, networking basics, identity, secrets, logging, and deployment configuration.

APIs, Data & Application Integration

· Experience integrating AI components with REST APIs, SQL/NoSQL databases, enterprise data sources, and application services.

· Understanding of data preprocessing, document formats, metadata, access permissions, and data freshness for retrieval systems.

· Familiarity with FastAPI or a similar Python API framework; Streamlit or equivalent is useful for prototypes and internal tools.

Quality, Security & Observability

· Ability to test AI features beyond conventional software tests, including prompt/model regression, retrieval relevance, groundedness, and safety.

· Familiarity with tracing and monitoring tools such as Langfuse, LangSmith, OpenTelemetry, or cloud-native observability.

· Understanding of prompt injection, data leakage, output validation, moderation, least-privilege tool access, and secure handling of credentials.

· Ability to track operational metrics such as latency, errors, token consumption, throughput, and cost.

Good-to-Have Skills

· Model customization:

fine-tuning, LoRA/QLoRA, PEFT, quantization, prompt tuning, or working with Hugging Face Transformers.

· Experience with PyTorch or TensorFlow and foundational ML/NLP concepts, including model training or inference workflows.

· Containerization with Docker; Kubernetes or managed container services; CI/CD pipelines and infrastructure as code.

· Multimodal applications involving image, audio, speech, or vision-language models.

· Experience with model providers and model families such as OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral, or Cohere.

· Frontend familiarity (JavaScript/TypeScript, React) or experience connecting AI APIs to web/mobile products.

· Experience with data processing at scale, distributed processing, or tools such as Dask or Spark.

· Exposure to AI governance and risk practices, including NIST AI RMF, ISO/IEC 42001, or regulated-domain requirements.

Qualifications & Experience

· Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.

· Typically 3+ years of software, data, or AI/ML engineering experience; practical GenAI application experience is strongly preferred. Adjust the level based on hiring needs.

· Demonstrable project or professional experience delivering software components; production deployment experience is an advantage.

· Strong problem-solving skills, curiosity, collaboration, and ability to learn evolving AI technologies.

Apply on kdataai.zohorecruit.ca About employer

More about this job

Skills

Python
Process data
Cleaning
CI/CD
Manage quality
Documentation
NumPy
pandas
Packaging
API development
Git
Unit testing
Debugging
Assembly
Elasticsearch
LangChain
Workflow
AWS
Microsoft Azure
Google Cloud
Identity and access management
Machine learning
BigQuery
SQL
NoSQL
Hugging Face
PyTorch
TensorFlow
ML
Natural language processing
Docker
Kubernetes
JavaScript
TypeScript
React
Apache Spark
Problem solving
Collaboration

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Jobs in the United States