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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

Our client, an AI-driven organization within the Healthcare industry, is hiring a Staff Data Software Engineer to join their team in New York. The successful candidate will design, build and scale the data infrastructure that underpins agent improvement, clinical analytics and research collaboration. You will own streaming and batch pipelines to process agent conversations, clinical events and patient outcomes at scale.


Responsibilities

• Build and operate streaming and batch data pipelines on Databricks using Spark and Delta Lake.

• Design, implement and maintain CDC (Change Data Capture) pipelines that sync operational databases into Delta Lake.

• Develop data mining pipelines for persona discovery, scenario extraction and edge-case detection.

• Build and own the data backend for the Research Platform, including natural-language-to-SQL capabilities.

• Implement robust data quality checks, staleness detection and automated alerting.

• Develop pipelines for voice and SMS analytics, including call quality and engagement metrics.

• Support multi-region data deployments and compliance requirements.

• Collaborate closely with agent engineers and data scientists to surface insights that improve agent performance.

Skillset

• At least 4 years of experience in production data engineering roles.

• Deep, hands-on experience with Databricks, Spark and Delta Lake.

• Strong proficiency in Python and SQL for building and maintaining data pipelines.

• Experience designing and operating streaming pipelines and CDC (change data capture) systems.

• A solid understanding of data modelling, medallion architectures (bronze/silver/gold) and query optimisation.

• Experience implementing data quality frameworks, monitoring and alerting.

• A proven track record of delivering reliable, production-grade data infrastructure.

• Exposure to machine learning pipelines, including feature engineering and training infrastructure is desirable.

• Experience building natural-language query interfaces or LLM-powered data tools is a bonus.

• Experience working with healthcare data and familiarity with HIPAA compliance requirements is a plus.

Benefits

• Salary: $220k - $260k

• Health, dental and vision coverage.

• Mental Health and Wellness support.

• Lead the technical architecture across all core platforms.
• Set and uphold engineering standards for code quality, testing, observability and incident response.
• Design and scale real-time clinical oversight systems, including live conversations, escalations and audit trails.
• Build natural language query capabilities over complex healthcare data.
• Develop safe, intuitive no-code tools for configuring agent behavior.
• Architect APIs, data models, and caching for real-time, voice and multi-channel systems at scale.
• Own authentication, authorization and audit logging for healthcare-grade security and compliance.
• Drive build-vs-buy decisions and evaluate platform-wide technical trade-offs.
• Mentor engineers and raise the technical bar across the team.
• Collaborate with clinicians, engineers and customers to turn complex workflows into robust systems.

• At least 7 years of hands-on full-stack engineering experience, including work in high-performing or top-tier engineering environments.
• Deep expertise in React and TypeScript, with a strong grasp of performance, rendering and state management.
• Proven experience building Python backend services, RESTful APIs and distributed systems.
• A strong track record of designing, scaling and operating high-traffic production systems.
• Solid understanding of real-time architectures, including WebSockets, streaming and event-driven systems.
• Experience with relational databases, data modeling, query optimisation and caching strategies.
• Demonstrated ability to set engineering standards and mentor engineers across a team.
• Extremely high bar for code quality, reliability, and operational excellence.
• Strong product intuition, with the ability to turn ambiguous requirements into robust technical solutions.
• Clear, confident communicator across engineering, product and executive stakeholders.

• Salary: $220k - $260k
• Health, dental and vision insurance.
• Mental Health and Wellness support.