Generative Ai Engineer Job at Invonto (Bridgewater)

Generative Ai Engineer

We have an immediate opening for a Sr. AI engineer with 5+ years of professional...

Location

United States , Bridgewater

Salary:

75000.00 - 90000.00 USD / Year

Invonto

Expiration Date

Until further notice

Requirements

A degree in computer science, engineering, robotics, or relevant field from a reputed US college
Minimum 5 years of professional programming experience creating production ready AI solutions
US Citizenship or Permanent Residency is required
Experience creating datasets and algorithmic modeling
Experience creating conversational AI solutions using open weight LLM
Experience with real-time object detection, segmentation, and pattern development using machine learning
5+ years of experience with Python programming, Postgres database, and API development
Experience with PyTorch and Tensorflow
Experience deploying applications on AWS
Must be able to perform independently or in a small team

What we offer

healthcare
paid time off

Fulltime

Generative AI Engineer

Join NTT DATA as a Generative AI Engineer, where you will design, build, and dep...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Programming: Proficiency in Python is essential. Experience with asynchronous programming and API development (FastAPI/Flask)
Generative AI & LLMs: Deep understanding of Large Language Models (LLMs), their capabilities, limitations, and tuning techniques (RAG, fine-tuning)
Agent Frameworks: Hands-on experience with modern agent frameworks
Strong experience with Azure / AWS / GCP ecosystems
Deployment: Expertise in deploying AI applications using containerization (Docker, Kubernetes) and serverless technologies (Azure Functions, AWS Lambda, GCP Cloud Run)
MLOps/LLMOps: Familiarity with pipelines for evaluating, monitoring, and managing the lifecycle of LLM-based applications

Job Responsibility

Design and implement autonomous agents and multi agent systems that can reason, plan, and execute complex tasks
Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments
Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents
Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs
Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost-optimization
Work closely with cross-functional teams to integrate agentic solutions into broader product ecosystems
Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement

Fulltime

Generative AI Engineer

A leading European private credit manager is seeking an experienced AI Engineer ...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong experience with C# and/or Python
Cloud platform experience, ideally within the Azure ecosystem
Experience working with LLMs and AI integrations (Azure OpenAI, OpenAI, Anthropic, Claude, etc.)
Ability to interact with, cleanse, and structure data end-to-end

Job Responsibility

Serve as the designated AI engineering lead responsible for productionising AI POCs
Develop and fine-tune LLM-based solutions (e.g. RAG, prompt engineering, embeddings, vector search)
Collaborate closely with investment professionals and technology teams to translate concepts into deployable solutions
Build and integrate AI-driven applications across portfolio management, credit, and origination workflows
Work with data end-to-end: ingestion, cleansing, structuring, and deployment

Fulltime

Generative AI Engineer

I’m currently partnering with a client who is looking to engage experienced cont...

Location

United Kingdom , London

Salary:

Not provided

Formula Recruitment

Expiration Date

Until further notice

Requirements

Hands-on delivery of AI agents using AWS Bedrock (Agents, Knowledge Bases, and model integrations)
Implementing tool calling and API orchestration within agent workflows
Building RAG pipelines grounded in enterprise data
Designing memory and state management across multi-step interactions
Orchestrating reliable, multi-step agent workflows (e.g. Lambda, Step Functions, event-driven patterns)
Ensuring security, governance, and observability in production deployments
Proven experience shipping agentic systems into production, not just experimentation or prototypes
Strong AWS engineering background across serverless, data, and security patterns
Ability to translate real business problems into robust AI agent architectures

Job Responsibility

Help design and deliver production-grade AI agents on AWS Bedrock

Generative AI Engineer

At ResMed, we’re shaping the future of digital health and medical technology — a...

Location

Singapore , Singapore

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

2+ years of software engineering, with hands-on experience developing and deploying generative AI solutions
Relevant Engineering or Science degrees (Software, Computer)
Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face)
Familiarity with multi-agent systems, model fine-tuning, and building data flywheels
Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear
Ability to design AI systems that are not just powerful but practical, measurable, and safe

Job Responsibility

Build Next-Gen AI Workflows: Design and deploy Generative AI solutions that eliminate repetitive work, boost efficiency, and free teams to focus on what matters most
Modernize Systems: Bring cutting-edge AI into ResMed’s tech stack — from fine-tuning LLMs with data flywheels to integrating with MCP servers
Spot High-Value AI Opportunities: Identify the projects where AI will deliver the most impact, balancing customer needs, cost, and scalability
Partner with Experts: Work side-by-side with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions
Engineer for Scale: Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost-effective
Innovate & Iterate: Take ownership of projects end-to-end, adapt quickly based on feedback, and help teammates succeed along the way

Fulltime

New

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

Super
Bonus

Fulltime

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
A bachelor's degree in computer science, data science, or a related field is required
Strong proficiency in programming languages such as Python and Java
Experience with AI frameworks like TensorFlow and PyTorch
Strong analytical and logical thinking skills to tackle complex problems
Ability to work effectively with cross-functional teams
Familiarity with cloud platforms is often beneficial

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design, develop, and deploy state-of-the-art generative AI models
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
Experience with diffusion models, autoregressive learning, or generative AI methods
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of uncertainty modeling and self-supervised learning
Passion for building AI that continuously adapts and learns

Job Responsibility

Develop generative models that enhance adaptability and improve AI robustness
Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
Apply generative methods to anticipate challenges and reinforce decision-making
Build self-improving AI pipelines that continuously refine model understanding
Optimize models for efficient, scalable, and interpretable AI decision-making

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

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