Senior Engineer - Applied AI Job at Culture Amp (Melbourne)

Senior Engineer - Applied AI

Join us on our mission to make a better world of work. We're looking for a Senio...

Location

Australia , Sydney

Salary:

Not provided

Culture Amp

Expiration Date

Until further notice

Requirements

Proven commercial experience taking ML/AI systems to production
Strong technical writer and communicator
Full stack software development experience, ideally Python, React, PGVector
Strong software engineering fundamentals - you write clean, tested, maintainable code
You leverage Software development AI tooling effectively
Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
A pragmatic, solution-focused mindset - you evaluate new technology through the lens of 'does this scalably solve the problem?' not 'is this technically interesting?'
You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability

Job Responsibility

Staying up to date with current research, literature and provider offerings
Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations
Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice
Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology
Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning

What we offer

Employee Share Options Program
Programs, coaching, and budgets to help you thrive personally and professionally
Access to external providers for mental wellbeing and coaching support
Monthly Camper Life Allowance
Team budgets dedicated to team building activities and connection
Intentional quarterly wellbeing pauses
Extended year-end breaks
Excellent parental leave and in work support program available from day 1
5 Social Impact Days a year
MacBooks for you to do your best & a work from home office budget

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...

Location

India , Bengaluru

Salary:

Not provided

InfoGrowth

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, machine learning, or AI-related roles
Strong experience with Python (required)
familiarity with JavaScript/TypeScript is a plus
Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
Experience building production-grade APIs and services
Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
Solid understanding of data structures, algorithms, and system design
Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)

Job Responsibility

Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
Integrate AI systems with APIs, databases, tools, and third-party services
Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
Lead end-to-end AI projects from concept to production
Collaborate closely with product managers, designers, and backend teams
Establish best practices for AI safety, evaluation, monitoring, and governance
Mentor junior engineers and conduct technical reviews

Fulltime

Senior Applied Ai Engineer - Multimodal Transformers

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ...

Location

United States , Mountain View

Salary:

200000.00 - 260000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field
4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings
Familiarity with cross-attention, token fusion, or modality alignment techniques
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world

Job Responsibility

Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
Optimize transformer models for real-time inference under latency and compute constraints

What we offer

Competitive compensation package including equity and annual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
Flexible PTO, 10 paid holidays, 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 through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

Senior Applied AI Engineer

As an Senior Applied AI Engineer for CXA, you will play a pivotal role in advanc...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 1+ years of experience working with machine learning libraries to solve real world AI/ML problems
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Strong 7+ software engineering skills, including hands‑on development experience in C# and Python for building scalable, high‑performance, and production‑ready systems
Experience in working with Generative AI models and ML stacks
Experience across the product lifecycle from ideation to shipping

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Apply strong software engineering skills in languages such as C# and Python to design, develop, and optimize scalable, reliable, and maintainable AI‑driven systems
Develop LLM prompts, agents, and query execution workflows, often with tight latency constraints
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts

Fulltime

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
PhD in engineering, applied math, statistics, or related analytical field.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Solid grasp of deep learning: loss functions, optimization, regularization, training stability
Experience deploying ML models at scale (inference optimization, quantization, distillation)
Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.

Job Responsibility

Model Development & Training
Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
Implement and adapt techniques from research papers into working production systems
Design and run experiments to improve image quality, diversity, and controllability
Curate, clean, and manage large-scale image-text training datasets
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure

Fulltime

Senior Applied AI Engineer

We are on a mission to ensure everyone has access to medical expertise, no matte...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Strong programming skills in Python and the ability to contribute to production-grade codebases
Hands-on experience in LLMs, including at least some of the following: Training, finetuning, or post-training transformer-based models
Building or operating LLM inference services in production, including performance work
Experience with embeddings, vector databases, and semantic search
Practical experience implementing RAG architectures
Designing robust evaluations for agent workflows and generative systems, including metrics, error analysis, and human evaluation methods
Experience building production-graded ML systems that can be deployed and operated, including pipelines, CI and CD practices, and monitoring
Strong product mindset with the ability to translate ideas into working systems
Clear communication and collaboration skills across research, engineering, and product
A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field, or equivalent professional experience

Job Responsibility

Design and build LLM-powered product features used in production
Develop agentic workflows and frameworks that coordinate multiple AI components
Implement RAG (Retrieval-Augmented Generation) architectures using embeddings and vector search
Build systems for prompting, context engineering, and tool usage
Develop evaluation frameworks to measure LLM and agent performance
Work closely with product and platform teams to turn AI capabilities into reliable, scalable product features
Continuously improve system reliability, latency, and cost efficiency of AI pipelines

What we offer

Equipment provided by Corti

Fulltime

Senior Applied AI Engineer

Build production-grade, multimodal (audio/video/text) systems that convert broad...

Location

United States , New York

Salary:

180000.00 - 240000.00 USD / Year

Genius Sports

Expiration Date

Until further notice

Requirements

5–8+ years of professional software engineering experience (backend and/or ML systems)
Strong proficiency in one or more of: Python, Java, Rust
Hands-on experience building production services involving LLM or multimodal model integration (including Gemini, ChatGPT or Claude)
Comfortable with ambiguity, iterative experimentation, and evidence-based decision-making in an Agile environment
Experience with streaming data platforms like Kafka, Pulsar, Flink
Experience with AWS Bedrock or Google Vertex AI
Familiarity with version control systems (e.g., Git)
Excellent problem-solving skills and attention to detail
Ability to work independently and as part of a team
Strong communication skills

Job Responsibility

Build and maintain multimodal agents: Audio sensor agents (acoustic events, sentiment, alignment), Visual sensor agents (scorebug/overlay reading, basic visual cues when applicable), Specialist and decision logic components (structured event outputs, confidence, traceability)
Implement streaming-friendly pipelines: chunking, normalization, time-sync, async execution, and robust retry/backoff for model/tool calls
Develop prompt-as-code with strict JSON contracts, schema validation, and deterministic post-processing to reduce brittleness
Improve system robustness under noisy inputs by: Designing fallback behaviors (degraded modes), Adding guardrails and confidence thresholds, Instrumenting traces/metrics for latency + cost + accuracy
Partner with product, platform, and domain leads to translate sport rules/edge cases into validation logic and to integrate outputs into downstream consumers (tagging, live feeds, analytics)
Contribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing
Stay up-to-date with emerging Gen AI technologies, tools, and best practices
Mentor and support other team members in data engineering principles and practices

What we offer

Eligible to take part in Genius Sports Group's benefits plan
Competitive salary and range of benefits
Committed to supporting employee wellbeing and helping you grow your skills, experience and career
Inclusive working environment

Fulltime

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Senior Engineer - Applied AI

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