Design, build, and own agentic systems that produce client-ready financial deliverables from data ingestion to polished output.
Build evaluation and quality systems for generated deliverables, including deterministic checks and model-judged review.
Turn proprietary data into evidence-backed insight by building pipelines that discover and verify patterns.
Farsight is the agentic AI platform for financial services, helping investment banks and private equity firms automate nuanced workflows. The team comes from leading financial institutions and tech companies, focusing on hiring the best to become the best.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Design and build systems that generate synthetic environments for agent training and evaluation.
Build and maintain synthesis models for realistic replacement values at scale.
Build evaluation infrastructure that grades agent outcomes and discriminates between frontier models.
Tonic builds the data infrastructure behind modern AI, generating synthetic environments for agent training and de-identifying enterprise data. Eight years in, the company works with frontier AI labs and hundreds of enterprises, with a culture focused on solving hard data problems and shipping.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Design and implement AI solutions using advanced LLM techniques like RAG, tool calling, and LLM-as-judge for healthcare challenges.
Build production Python code with LangChain and LangSmith to create reliable AI systems for customer environments.
Manage secure deployments, monitor systems, respond to incidents, and drive operational improvements for AI agents.
Hippocratic AI develops AI-powered conversational agents for healthcare, focusing on safe and reliable deployments. Backed by $404M from top-tier investors, the company employs world-class AI engineers and clinical experts from leading institutions.
Design and iterate on agent behavior across real, live workflows, including long-horizon, multi-turn agentic tasks.
Build and run evaluations against production conditions to measure performance, regressions, and edge cases.
Partner with Product and Engineering to ensure agents are steerable, trustworthy, and ready for scale.
Arcadia is a healthcare platform that transforms complex data into trusted intelligence for providers, payers, and life sciences organizations. Backed by Nordic Capital, the company has hundreds of organizational clients and a mission-driven culture focused on improving patient outcomes.
Own AI systems end to end: from ingestion to serving, including retrieval and agentic workflows.
Build production RAG and semantic search systems grounded in the warehouse.
Design and ship self-service AI tooling and agentic workflows for 200+ internal stakeholders.
We are a healthcare technology company connecting people and partners with coverage, care, and solutions. We are curious, collaborative, and always looking for better ways to solve problems.
Develop and own the full lifecycle of extraction models, from framing and data annotation to deployment and monitoring.
Partner with clinical stakeholders to define accuracy standards and build evaluation harnesses for defensible quality.
Build clinical NLP pipelines and productionize ML systems, using both traditional ML and LLMs with rigorous evaluation and observability.
Novellia is the first company that lets anyone in the U.S. access nearly a decade of their health data in under 30 seconds, 100% free, delivering comprehensive health insights to accelerate biopharma innovation. They are growing 5x year over year, have raised close to $30M in funding, and are backed by top investors, fostering a passionate, patient-centric culture.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy and safety in healthcare workflows.
Build tool-calling and MCP architectures enabling AI agents to interact securely with EHRs, data warehouses, and operational tools.
Execute end-to-end deployments including infrastructure setup, integration testing, and production monitoring to ensure reliable go-lives.
Hippocratic AI is building the world's first healthcare-only, safety-focused LLM to transform patient outcomes at a global scale. Backed by over $400M in funding and a team from leading institutions like Stanford and Google, the company is on a mission to reinvent healthcare with safe AI.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.
Build autonomous agent systems that make defensible decisions for compliance audits.
Design evaluation harnesses, golden datasets, and drift detection to ensure agent reliability.
Own technical direction across engineering, product, security, and customer experience teams.
Sprinto is an Autonomous Trust Platform that centralizes trust requirements across security frameworks, vendors, and customers. Backed by $31.8M in funding and trusted by over 4,000 organizations, Sprinto fosters a culture of ownership, remote collaboration, and continuous improvement.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
Design and deploy autonomous agentic AI workflows and multi-agent systems for production.
Architect and optimize advanced RAG pipelines using hybrid search and semantic routing.
Implement enterprise safety controls and HIPAA-compliant AI pipelines.
AspenView Technology Partners specializes in creating high-performing nearshore IT teams to help North American clients innovate faster and more efficiently. They are an equal opportunity employer that values diversity and inclusion.
Build asynchronous Python/TypeScript services with FastAPI, Pydantic, and asyncio.
Develop agent orchestration, subagent delegation, tool calling, and structured outputs.
Create behavioral evals and regression datasets using Langfuse.
We are a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations. We have offices across the U.S., Europe, and the Middle East, and we are expanding our engineering team with people who demonstrate strong ownership and sound judgment.
Design and build production-grade AI agents and LLM-powered systems.
Develop multimodal data ingestion and structured information extraction pipelines for unstructured data.
Own AI solutions end-to-end from requirements to deployment and optimization.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. They have a remote-first culture with values centered on data nerdiness, teamwork, ownership, and positivity.