Jobs in the United States

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Added 5 mins ago
Systems Development Engineer, Amazon Leo - OISL
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Develop and communicate system integration and evaluation strategies and plans in support of program learning, technical risk reduction, verification, and validation
Added 6 mins ago
Test Engineer II
Sierra Nevada Corporation
Sparks, NV
Qualifications You Must Have:
Added 7 mins ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
The AI Engineer works closely with AI Architects, software engineers, data
Added 8 mins ago
Senior Engineer - PLC/Ignition
E Tech Group
South San Francisco, CA · Vacaville, CA
…forward-thinking experts. We’re one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions…
Added 10 mins ago
Payload Safety Operations Engineer
Teledyne Brown Engineering, Inc.
Huntsville, AL
Responsible for leading the evaluation of safety data packs from a Payload Operations Integration (POI) perspective and gathering comments and operational requirements and ensuring those…
Added 13 mins ago
Structural Design Engineer
Enercon Services, Inc.
Kennesaw, GA · Kennewick, WA · San Luis Obispo, CA · Palm Beach Gardens, FL · Chicago, IL · Naperville, IL · Overland Park, KS · Glendale, AZ · Birmingham, AL · Baton Rouge, LA · Fort Worth, TX · Plano, TX · Chattanooga, TN · Emeryville, CA · Aiken, SC · King of Prussia, PA · Oak Ridge, TN
Become a part of ENERCON as a Structural Design Engineer. We are seeking talented Civil Structural Engineers to join our Nuclear Design Group.
Added 13 mins ago
Structural Design Engineer - Senior & Principal Levels
Enercon Services, Inc.
Kennesaw, GA · Kennewick, WA · San Luis Obispo, CA · Palm Beach Gardens, FL · Chicago, IL · Naperville, IL · Overland Park, KS · Glendale, AZ · Birmingham, AL · Baton Rouge, LA · Fort Worth, TX · Plano, TX · Chattanooga, TN · Emeryville, CA · Aiken, SC · King of Prussia, PA · Oak Ridge, TN
Become a part of ENERCON as a Structural Design Engineer. We are seeking talented Civil Structural Engineers to join our Nuclear Design Group.
Added 16 mins ago
Systems Engineer
BAE Systems
Nashua, NH · Manchester, NH
…(analysis/decomposition/derivation/allocation of requirements, architecture, system modeling & simulation, system design & development, system integration & test, production,…
Added 16 mins 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 17 mins ago
DRAM interface designer, Principal / MTS
Micron Technology, Inc.
Boise, ID
We are seeking a Principal IO/Clocking Design Engineer to be a part of our design team working on critical high-speed circuits common to all DRAM related memory products! In this position,…
Added 18 mins ago
Senior Windows System Engineer
HP
Spring, TX · Palo Alto, CA
…with cross-functional teams, including software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and…
Added 18 mins ago
Sr Software Engineer (C#,.NET)
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
The Sr. Software Engineer will work as a member of the METi Platform team that is responsible for building and evolving the enterprise integration platform and reusable capabilities that…
Added 28 mins ago
Engineering Systems Administrator (SolidWorks)
LeeBoy Inc
Lincolnton, NC
The SolidWorks Administrator / CAD Systems Engineer is responsible for the administration, optimization and continuous improvement of the organization's SolidWorks and Enterprise PDM (SPDM)…
Added 32 mins ago
Artificial Intelligence/Machine Learning 2
Wyetech
Annapolis Junction, MD
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be…
Added 34 mins ago
Senior Data & AI Engineer
NeoReach
Remote, United States
We’re seeking an experienced engineer to strengthen our data infrastructure and build practical AI-powered tools.
Added 39 mins ago
Spacecraft Mission Systems Engineer
Quantum Space
CA · Hawthorne, CA · Broken Arrow, OK · 801 Thompson Ave. Suite 201 Rockville, MD
We are seeking a technically strong and mission-focused Spacecraft Mission Systems Engineer to help define, architect, analyze, and integrate mission capabilities for our next-generation…
Added 40 mins ago
HC
R&D Embedded Software Engineer
Hach Company
Loveland, CO
- $95,000 to $105,000 USD / year
Are a professional or hobbyist/tinkerer with firmware/software skills associated with solution/system development
Added 42 mins ago
Sr Systems Integration Engineer – Radiation Producing Subsystem
x Varian Medical Systems, Inc.
United States
We seek a versatile Systems Engineer for our Linear Accelerator Systems group, supporting radiation-producing subsystems in oncology machines. Responsibilities include contributing to…
Added 43 mins ago
L
Senior Hardware/Software Integration Engineer
Lightship
South San Francisco, CA
- $160,000 to $180,000 USD / year
As a Senior Hardware/Software Integration Engineer, you will work hands-on with vehicle hardware and software to bring new components and features to life, troubleshoot complex issues, and…
Added 45 mins ago
Senior Windows System Engineer
HP
Spring · Palo Alto
…with cross-functional teams, including software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and…
Added 46 mins ago
Senior FPGA Digital Design & Development Engineer (Hybrid)
Cisco Systems, Inc.
Milpitas, CA · San Jose, CA
Collaborate with hardware and software engineers on interface definitions, initialization sequences, diagnostics, and system integration.
Added 47 mins ago
Advanced Packaging Development Engineer
Apple
Santa Clara, CA
Apple’s Advanced Packaging team is seeking an experienced Packaging Development Engineer to drive next-generation packaging integration and technology development for future products. In…
Added 47 mins ago
RF Design Engineer – Next-Gen Wireless
Apple
San Diego, CA
antenna design, system integration, and wireless communications.
Added 47 mins ago
Senior Software Engineer (Platform Engineer), G&A Solutions Engineering (GSE)
Apple
TX
…runtime, so the people closest to a problem can change how the system behaves without waiting for a release. Hundreds of components must behave as one system. We are looking for a…
Added 47 mins ago
Senior Software Engineer, G&A Solutions Engineering (GSE)
Apple
TX · Sunnyvale, CA
…the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that…

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