AI Engineer Job at Robert Half (San Francisco)

Ai Engineer

AI Engineer - Climate Change Research Body 6-Month Contract | Hybrid (2 Days Ons...

Location

United Kingdom , London

Salary:

450.00 - 650.00 GBP / Day

Boston Hale

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Azure AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning
Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services
Proven track record delivering AI prototypes, pilots or innovation projects
Experience with Retrieval-Augmented Generation (RAG), prompt engineering and knowledge-grounded AI solutions
Familiarity with Microsoft 365, SharePoint, Teams and Copilot-related technologies
Understanding of security, governance, data privacy and responsible AI principles
Ability to communicate technical concepts clearly and support knowledge transfer to internal teams.

Job Responsibility

Build and deliver AI proof-of-concept solutions within a Microsoft Azure ecosystem
Develop intelligent search, knowledge retrieval and conversational AI capabilities
Create prototypes focused on automation, document analysis, summarisation and workflow optimisation
Support predictive analytics and data-driven decision-making initiatives
Produce clear technical documentation, implementation notes and handover materials
Collaborate closely with stakeholders to demonstrate outcomes and refine solutions.

New

AI Engineer

Location

United Arab Emirates , Dubai

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

5+ years Python development – production-grade, not just scripting
Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks
Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement
Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)
Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL
REST API development and consumption
JSON schema design
Git version control
CI/CD pipeline awareness

Job Responsibility

Agent graph development: Design and implement LangGraph agent graphs for Supervisor-Worker orchestration, self-reflection, actor-critic, and HITL interrupt patterns using TypedDict state schemas and conditional edge routing
LLM extraction pipeline: Build and maintain LLM-based entity extraction pipelines using Azure AI Foundry, implementing structured output enforcement, per-field confidence scoring, and Pydantic output validation against Use Case Manifest schemas
Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System (PMS) using semantic versioning
run prompt sensitivity and correctness testing using the AWA IDP Test Strategy
MCP tool integration: Develop and maintain the five core MCP tool servers (query_structured, retrieve_precedents, query_documents, checkpoint_state, observe) and extend them for new use case requirements
Model evaluation and testing: Execute Band 1 and Band 2 testing (Model Testing, Prompt Testing, Agent Testing, AI Security Testing, Adversarial Testing) per the AWA IDP Test Strategy
maintain the Golden Dataset and Regression Dataset
HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs
configure Orkes Wait tasks
validate HITL state persistence and checkpoint-based resumption

Ai Engineer

We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for ML pipelines, model serving, automation, and framework development
Hands-on experience with Apache Spark / PySpark for large-scale data processing, feature engineering, and batch inference
Proven experience building and operating end-to-end ML pipelines (training, validation, packaging, deployment, monitoring)
Experience with config-driven pipelines and reusable ML frameworks
Experience deploying real-time models exposed as REST APIs
Hands-on knowledge of HTTP-based model serving (FastAPI, Flask, custom model servers, etc.)
Strong understanding of low-latency requirements, performance tuning, and scaling real-time inference services
Knowledge of streaming technologies such as Kafka, Pub/Sub, Spark Streaming, Logstash, or similar

Fulltime

AI Engineer

We are revolutionizing B2B commerce by delivering scalable, innovative solutions...

Location

United Kingdom , London

Salary:

Not provided

RedCloud

Expiration Date

Until further notice

Requirements

At least 6+ years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks
An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques
Excellent communication skills, with a collaborative approach to working within diverse teams
A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches
Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments

Job Responsibility

Design, develop, and implement AI models and machine learning algorithms to solve complex, real-world problems
Work with cross-functional teams to identify opportunities where AI can improve products, services, or internal processes
Integrate AI and machine learning models into production software systems in a scalable and maintainable way
Analyse complex data sets and technical challenges to develop innovative, creative AI solutions
Use your software engineering expertise to piece together different tools, frameworks, and algorithms to create unique solutions
Work collaboratively with the team to brainstorm, prototype, and refine AI solutions
Leverage your background in software engineering to develop clean, efficient code that supports the deployment of AI models and solutions
Ensure that AI models integrate seamlessly with existing systems, and collaborate with software development teams to build robust and scalable applications
Work in close collaboration with data scientists, engineers, and product teams to define AI requirements and deliver innovative solutions
Continuously learn and stay updated on emerging AI tools, techniques, and industry best practices

What we offer

25 Days Annual leave, increasing to 26 days after 12 months in the business
Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
Healthcare Cashplan with Medicash
Private Healthcare with Aviva
Life Insurance with AIG
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness
Stock / Equity

Fulltime

Ai Engineer

This role sits at the intersection of AI engineering, data scientist, developer ...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role
Strong production experience building LLM-powered applications and deployment at scale
Strong programming skills in Python and experience building scalable production services and APIs
Experience designing and implementing AI application architectures in cloud-native environments
Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems
Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation
Familiarity with AI observability, evaluation frameworks, and production monitoring
Experience deploying and operating AI systems on AWS, Azure, or GCP
Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows
Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams

Job Responsibility

Spend real time with lawyers, legal operations teams, and our internal subject-matter experts
Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against
Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences
Bring the customer voice back into our roadmaps, our model choices, and our trade-offs
Contribute to AI-powered applications and workflows for legal and business use cases
Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns
Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services
Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities
Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments
Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

Ai Engineer

We're hiring a senior AI Engineer to design, build, and ship production AI syste...

Location

India , Jaipur

Salary:

Not provided

HabileLabs

Expiration Date

Until further notice

Requirements

4+ yrs ML/software engineering
2+ yrs on production AI systems
Strong Python
PyTorch or TensorFlow
LLM fine-tuning: LoRA / QLoRA / PEFT
End-to-end ML pipeline experience (train → serve)
Cloud (AWS / GCP / Azure) + Docker / Kubernetes
ASR & TTS integration in real-time streaming systems
VAD, noise suppression, and barge-in handling
Telephony APIs (Twilio, Vonage) or WebRTC experience

Job Responsibility

LLM & GenAI: Fine-tune and deploy LLMs
build RAG pipelines and agentic workflows (LangChain, LlamaIndex)
Voice Pipelines: Architect real-time ASR → LLM → TTS pipelines with <300 ms latency
Voice Agents: Build production voice agents with turn-taking, barge-in handling, and emotion-aware dialogue
Speech Fine-Tuning: Adapt ASR/TTS models for domain-specific accents, terminology, and speaking styles
MLOps: Build reproducible ML pipelines (Kubeflow / MLflow)
maintain CI/CD, monitoring, and model versioning
Inference Optimization: Apply quantization (GGUF, GPTQ), distillation, and hardware-aware inference (TensorRT, vLLM) to cut cost and latency
APIs & Services: Ship high-performance inference APIs in Python (FastAPI) or Go on Kubernetes
Data & Evaluation: Curate text + speech corpora

Fulltime

Ai Engineer

We are building a new AI / Machine Learning team within an industrial digital or...

Location

Czech Republic , Prague

Salary:

110000.00 - 140000.00 CZK / Year

Apollo Solutions

Expiration Date

Until further notice

Requirements

Degree in Computer Science, AI, Data Science, or related field
5+ years experience in software engineering and AI/ML
2+ years hands-on experience with generative AI
Proven experience deploying and fine-tuning ML models in production
Strong skills in Python (Java / .NET a plus)
Solid understanding of ML, deep learning, and statistical modeling
Experience with cloud platforms and containerization (Docker, Kubernetes)
Familiarity with Agile environments and version control (Git)
Strong collaboration and problem-solving skills

Job Responsibility

Act as a technical lead between business, product, and engineering teams
Translate business needs into scalable AI / ML solutions
Design, fine-tune, deploy, and optimize generative AI models (primarily LLMs)
Develop production-grade machine learning pipelines and algorithms
Work with structured, unstructured, time-series, and text data
Integrate AI/ML models into enterprise digital platforms
Evaluate model performance and continuously improve accuracy and reliability
Stay current with AI/ML research, tooling, and best practices
Document architectures, models, and processes for reuse and scalability

Fulltime

AI Engineer

As our next AI Engineer, you will contribute to solving meaningful challenges ac...

Location

Spain; Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Strong Python skills and solid software engineering fundamentals
Hands-on experience with at least one major cloud (AWS, Azure, or GCP)
Deep, hands-on experience with enterprise LLMs and their APIs (e.g. Anthropic/Claude, OpenAI, Google), including tool/function calling, structured outputs, and the Model Context Protocol (MCP)
Experience building agentic systems with modern orchestration frameworks such as Pydantic AI, LangGraph, OpenAI Agents SDK, AutoGen / Microsoft Agent Framework, or LlamaIndex
Strong command of retrieval techniques including RAG and graph-RAG, vector search, embeddings, reranking, and document-processing pipelines
Practical context-engineering skills and the ability to consistently improve AI quality through prompt and context design
Experience with evals and observability as first-class concerns, including evaluation suites, tracing, regression testing, reliability, latency, and cost management
Familiarity with tooling such as LangSmith, Langfuse, Braintrust, Arize Phoenix, MLflow, DeepEval, or Promptfoo
A solid foundation in data science fundamentals, data analysis, and statistical thinking
Strong communication skills in English

Job Responsibility

Design, build, and ship AI-powered tools that help life science teams create, review, and manage critical documents and data
Build features such as grounded retrieval, summarisation, document comparison, question answering, and content classification with traceability back to source
Design agentic workflows capable of handling complex business processes
Build evaluation frameworks and observability capabilities that ensure reliability and quality
Ensure solutions are secure, auditable, and scalable in regulated cloud environments (AWS, Azure, GCP)
Collaborate closely with clinical, regulatory, quality, and commercial experts to understand their workflows and implement AI solutions that create measurable value

What we offer

Support for health and wellbeing, covering physical, mental, and social needs
Flexible ways of working, built on trust, autonomy, and balance
Ongoing learning and professional development throughout your career
A modern work setup, with the tools and equipment needed to do great work
Recognition of performance and impact, linked to contribution and results
The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide

Fulltime

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