AI/ML Engineer Jobs

Our client, a fast-growing AI startup, is hiring an AI/ML Engineer to join their team in New York. The successful candidate will focus on building the core Copilot product, with ownership across the full ML lifecycle - from data pipelines and model training to embeddings, retrieval, serving and continuous iteration in production.


Responsibilities

• Design, develop and deploy production-grade Machine Learning systems in Python, moving well beyond experimentation and notebooks.

• Take ownership of key components of the NLP and LLM stack, including embeddings, retrieval pipelines, RAG architectures and targeted fine-tuning.

• Build and iterate on recommendation and ranking models that surface who users should engage with and when.

• Work hands-on with vector databases and similarity search to drive relationship intelligence.

• Implement and maintain ML tooling for training, versioning, monitoring and evaluation.

• Collaborate closely with founders, product and engineering to translate ideas into shipped, measurable product capabilities.

• Integrate ML models into production APIs within a TypeScript / Nest.js–heavy environment.

• Continuously optimise latency, cost and performance, including model routing, caching, distillation and quantisation.

Skillset

• Minimum of 3 years of experience building and deploying production ML systems using Python, PyTorch or TensorFlow and scikit-learn.

• Hands-on NLP and LLM experience, including HuggingFace Transformers, embeddings, sentence-transformers and RAG architectures.

• Experience working with both proprietary models (e.g. OpenAI) and open-source LLMs (e.g. Llama, Mistral).

• Strong foundation in classical machine learning, including classification, ranking, supervised and unsupervised learning, and XGBoost or LightGBM.

• Experience with MLOps and infrastructure, such as experiment tracking, model versioning, Docker/Kubernetes, SageMaker or similar systems.

• Practical experience with vector databases, including Pinecone, Qdrant, Weaviate or comparable platforms.

• Strong software engineering fundamentals, with experience integrating ML models into reliable, production-grade systems.

Benefits

• Salary: Circa $250k.

• Equity.

• Health, dental and vision insurance.

Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.


Responsibilities

• Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.

• Create scalable pipelines to support data ingestion, model training and real-time deployment.

• Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.

• Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.

• Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.

• Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.

 

Skillset

• At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.

• Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.

• Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.

• Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.

• Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.

• Experience with voice and speech-based technologies, including recognition and generation.

• Hands-on background in designing and implementing conversational AI solutions.

• Exceptional analytical and communication abilities.

• Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.

Benefits

• Competitive Salary.

• Equity.

• Remote working.

• Comprehensive healthcare package.

Our client, an AI-driven healthcare organization, is hiring a Software Engineer with expertise in Backend Engineering and Machine Learning to join their team in New York. The successful candidate will design and build scalable backend systems and machine learning infrastructure, which will support real-time patient engagement, seamless integration of complex data sources and measurable improvements in healthcare outcomes.


Responsibilities

• Design, build and maintain scalable backend services and APIs that power an AI-driven patient engagement platform.

• Develop and operate production-grade infrastructure for deploying, monitoring and scaling LLM-based applications.

• Collaborate with AI/ML engineers to embed conversational AI and predictive models into core platform workflows.

• Architect flexible, extensible backend systems that scale with expanding product capabilities and data demands.

• Implement and maintain CI/CD pipelines, including automated testing, versioning and deployment processes.

• Develop reusable libraries, frameworks, and components to accelerate development and enhance code quality.

• Promote engineering best practices to ensure systems are secure, scalable, and maintainable.

• Utilize cloud platforms (GCP, Azure, AWS) to deliver reliable and cost-efficient infrastructure for web services and ML workloads.

Skillset

• Minimum 5  years of full-stack development experience, including at least 2 years in a senior-level role.

• Proven track record of taking products from 0 ? 1 and scaling from 1 ? N in early-stage environments.

• Strong proficiency in Node.js and/or Python, relational databases, ReactJS and Express.

• Demonstrated interest in AI, with hands-on experience integrating LLMs into production systems.

• Excellent system design and architecture skills, with a focus on scalability and extensibility.

• Disciplined engineering approach, adhering to Clean Code principles, TDD, and CI/CD practices.

• Experience collaborating with cross-functional and non-technical stakeholders.

• Portfolio of projects showcasing leadership or ownership of significant engineering initiatives.

Benefits

• Salary: $150k - $180k DOE.

Our client, an AI-driven FinTech organization, are hiring a Senior AI Engineer to join the team in Manhattan, New York. The successful candidate will work with LLMs and deploy real-world AI agents, focusing on orchestration, evaluation and reliability to ensure agents perform meaningful work safely, efficiently and consistently.


Responsibilities

• Design, build and productionize end-to-end agent workflows, including APIs, tools, evaluation frameworks, monitoring and multi-step processes.

• Optimize system performance by managing latency, cost and safety controls, and building dashboards and alerts for reliability.

• Evaluate and compare models, hosting solutions and prompt strategies, implementing guardrails as needed.

• Measure outcomes, run A/B tests and iterate to improve task success and overall system effectiveness.

• Collaborate with product and design teams to develop and ship innovative interaction patterns.

Skillset

• At least 3 years of experience building AI/ML systems, preferably with LLMs or agentic workflows.

• Strong programming skills in Python, including libraries like NumPy, PyTorch or TensorFlow.

• Experience designing and integrating APIs, microservices and evaluation frameworks.

• Knowledge of workflow orchestration, multi-step planning and memory/retrieval systems.

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).

• Strong problem-solving skills with the ability to make informed system and code-level decisions.

• Experience with monitoring, instrumentation and A/B testing to optimize outcomes.

• Excellent collaboration and communication skills.

Benefits

• Salary: $160K–$200K

• Stock options.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

Our client, an AI-driven organization in the Fintech industry, are hiring a Staff Machine Learning Engineer to join the team in Colorado. The successful candidate will will focus on building end-to-end generative AI products leveraging your deep expertise in large language models, fine-tuning techniques and reinforcement learning.


Responsibilities

• Design and build multi-agent systems that automate tasks and streamline workflows, delivering measurable operational impact.

• Develop AI co-pilots for advisors and other user personas, supporting workflows across prospecting, conversion, onboarding and client servicing.

• Create purpose-built, low-latency models for complex, multi-turn financial services interactions.

• Enable AI-driven optimisation and navigation of legacy platforms using computer-use and automation models.

• Design, fine-tune, and deploy open-source and proprietary LLMs for use cases including Q&A, summarisation, reasoning and planning.

• Build advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating query rewriting, embedding fine-tuning, hybrid search, re-ranking and knowledge graphs.

• Apply reinforcement learning techniques, including RL fine-tuning methods such as PPO, DPO, and GRPO, to continuously improve model performance.

• Deploy models to production, ensuring high performance, reliability, scalability and low latency.

Skillset

• At least 5 years of experience in applied AI/ML engineering.

• Demonstrated success delivering production-grade generative AI products with large language models at their core.

• Hands-on experience with LLM fine-tuning techniques (e.g. LoRA), inference frameworks (e.g. vLLM) and advanced Retrieval-Augmented Generation (RAG) architectures.

• Strong practical expertise in reinforcement learning fine-tuning methods and supporting tooling.

• Previous experience working in an early-stage startup is a plus.

Benefits

• Salary: $170k - $220k DOE