AI/ML Engineer Jobs

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, a venture-backed Fintech startup, is hiring a Principal Software Engineer (Backend) to join the team remotely. The successful candidate will drive the design and scalability of their backend systems, seamlessly integrating AI solutions and connecting traditional backend services with AI inference pipelines to ensure robust, high-performance operation at production scale.


Responsibilities

• Drive the design and implementation of Django-based backend systems that power the company’s core platform.

• Architect scalable, reliable APIs that integrate smoothly with both frontend applications and AI services.

• Develop and maintain AI inference endpoints to serve models at production scale.

• Partner with AI engineers to collect, process and analyze data from application workflows.

• Enhance and optimize AI pipeline evaluation and monitoring systems.

• Take ownership of system architecture and design decisions for high-traffic production environments.

• Support frontend development as needed to ensure a consistent, full-stack experience.

Skillset

• Minimum of seven years of full-stack web development, including at least 4 years focused on AI/ML engineering or managing large-scale data pipelines.

• Expert backend engineering skills with Django, Python, REST APIs and relational databases (AWS RDS/Postgres).

• Hands-on experience integrating AI/ML services via APIs (e.g. OpenAI, Anthropic, LlamaIndex).

• Proven track record of serving AI models in production, building inference pipelines and optimizing performance.

• Strong understanding of AI agent design, retrieval strategies and evaluation methodologies.

• Competent in frontend development using Next.js and React.

• Solid infrastructure expertise: AWS, Terraform, system monitoring, scaling, and resiliency.

• Experience designing fault-tolerant systems supporting thousands of concurrent users.

• Excellent communication skills with the ability to collaborate across teams effectively.

Benefits

• Competitive salary.

• Equity.

• Remote-friendly work environment.

• Comprehensive health benefits.

Our client, a venture-backed AI startup, is hiring a Principal Front-End / Full Stack Engineer to join the team remotely. The successful candidate will lead the architecture and development of the user-facing platform, serve as the technical authority on front-end and middleware solutions, and guide the engineering team while shaping the overall product experience.


Responsibilities

• Lead the architecture, design and implementation of their front-end platform, ensuring scalability, reliability and exceptional user experiences.
• Develop high-quality, maintainable full-stack code, integrating modern front-end technologies with AI/ML capabilities.
• Provide technical leadership and mentorship to the engineering team, promoting a culture of growth and best practices.
• Partner with product, design, and business teams to transform user requirements into intuitive, impactful technical solutions.
• Continuously enhance engineering processes, code quality, and front-end performance.

Skillset

• At least 8 years of full-stack web development, including 5 years building complex front-end systems.
• Proven track record architecting advanced front-end and middleware solutions.
• Expertise in React, Next.js, modern CSS-in-JS and responsive design principles.
• Experience integrating with back-end services and AI/ML APIs (e.g. OpenAI, Anthropic, LlamaIndex).
• Comfortable translating Figma designs into functional interfaces and working with tools like Cursor or Windsurf.
• Deep understanding of LLM APIs, prompt engineering, and AI workflow design.
• Strong communication skills, able to explain complex technical concepts clearly.
• Experience mentoring engineers, with a focus on front-end best practices.
• Experience deploying AI/ML applications to cloud platforms is a plus.

Benefits

• Competitive salary and equity.
• Fully remote working.
• Comprehensive healthcare coverage.

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.

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.