Jobs in the United States

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Added 23 mins ago
PM
Member of Technical Staff - Research Engineer, Post-training
Preference Model
San Francisco, CA
- $200,000 to $350,000 USD / year
…the boundaries of self-directed learning. We are looking for machine learning Research Engineers or Research Scientists to push the frontier of post-training on large language models in a…
Added 23 mins ago
PM
Member of Technical Staff - Research Engineer, RL Environments
Preference Model
San Francisco, CA
- $200,000 to $350,000 USD / year
We’re hiring experienced Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and…
Added 43 mins ago
J
Equipment Mechanic R&D - SIGNING BONUS!
East Peoria, IL
- $30.67 USD / hour
…disassembly, analysis of parts failure, possible changes in design to correct failure, and any other pertinent insights gained while performing assembly / disassembly or dismantling of the…
Added 44 mins ago
Director, AI Security
Johnson & Johnson Services Inc. Legal Entity
Remote, United States
Added 1 hour ago
Mechanical Design Engineer II
Panasonic
De Soto, KS
Do you want to join a team that's changing the world? Do you have a strong background as a Mechanical Design Engineer II? Then we're looking for you! Check out the job description and apply…
Added 1 hour ago
Equipment Engineer 2
Kasai North America, Inc
Manchester, TN
Recommend design modifications to eliminate machine or system malfunctions
Added 1 hour ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
The AI Engineer works closely with AI Architects, software engineers, data
Added 1 hour ago
Software Engineer – Digital Asset Management, Retail & Marcom Engineering
Apple
Austin, TX
Our team is looking for a passionate, technically skilled software engineer who thrives in designing scalable distributed backend systems and integrating cutting-edge machine learning and…
Added 1 hour ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection…
Added 1 hour ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 1 hour ago
Artificial Intelligence/Machine Learning 2
Wyetech
Annapolis Junction, MD
Artificial Intelligence/Machine Learning (AI/ML) Engineer Skill Level 2
Added 1 hour ago
Software Engineer
Applied Materials, Inc
Santa Clara, CA
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…
Added 1 hour ago
Staff SW QA Engineer
Dexcom
Remote, United States
…development and V&V processes, including: Risk Management, Software Design Controls for Class I/II Exempt Applications &…
Added 1 hour ago
MT
Distinguished Member of Technical Staff - ITP AI
Micron Technology
San Jose
- $255,000 to $447,000 USD / year
…and solutions to accelerate technology innovation, silicon design, product development, and engineering execution across ITP. This role is central to Micron's mission to make AI…
Added 1 hour ago
Software Engineer - 3D Vision & Perception
Apple
Sunnyvale, CA
We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. We are looking for a senior software…
Added 1 hour ago
Senior Computer Vision / Machine Learning Engineer - 3D Vision & Perception
Apple
Sunnyvale, CA
We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. We are looking for a strong CVML…
Added 1 hour ago
Lead AI and Data Science Engineer II
Deloitte US
Tampa, FL
A practitioner in the AI & Engineering offering portfolio helps design, build, and deliver AI-enabled and software solutions for clients, translating business problems into technical…
Added 2 hours ago
Senior Platform DevOps Engineer - TS/SCI w/ Poly
Parsons Technical Services, Inc.
MD
…for cyber operations? Are you an experienced DevOps/platform engineer who thrives in a fast-paced environment, enjoys owning infrastructure end to end, and wants to help shape how AI is…
Added 2 hours ago
Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT DATA Americas, Inc.
Charlotte
We are currently seeking a Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE) to join our team in Charlotte, North Carolina (US-NC), United States (US).
Added 2 hours ago
ZT
RF Engineer, Senior
Zebra Technologies Corporation
Holtsville, NY
- $96,800 to $145,200 USD / year
The ideal candidate must have deep low-level RF circuit design expertise · Must have Experience with Board level RF circuit design
Added 2 hours ago
Staff Software Engineer, Imitation Learning - Behavior Planning, Embodied AI
General Motors LLC
Remote, United States
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be…
Added 2 hours ago
Solutions Engineer
Crogl
Remote, United States
Join Crogl and help redefine how security teams work. As a Solutions Engineer, you'll be a critical part of our go-to-market motion - the technical voice of Crogl in every deal, and the…
Added 2 hours ago
Senior Software Engineer - Full Stack (TS Clearance)
Andesite
WA · McLean, VA
…automate triage, enrichment, and investigations, and respond at machine speed – all while supervising evidence validation and making the critical decisions they are accountable for.…
Added 2 hours ago
Senior Mechanical Engineer, Space Hardware
IRPI
Wilsonville, OR
We are looking for a senior mechanical engineer to lead customer projects from scope to delivery, owning the mechanical design of subsystems from requirements through build and test. You…
Added 2 hours ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
PricewaterhouseCoopers Advisory Services LLC
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What You Must Have

KData Inc.

AI Engineer – Generative AI & Agentic AI

United States

Apply on kdataai.zohorecruit.ca About employer

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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