The role involves architecting AI services, mentoring engineers, overseeing project design, and ensuring ethical AI usage while collaborating across teams.
People. Technology. Ideas.
Our Team takes pride in developing solutions that accelerate our clients' continued success. Our clients range from large corporations to local, state, and federal government. To fulfill our obligations to our clients, we take great pride in hiring the right team. We offer exciting opportunities for growth, education, and leadership and embrace diversity and inclusion.
About Orchid Software Solutions
Orchid Software Solutions is the product & engineering team behind a portfolio of fertility‑tech SaaS platforms—including Orchid JMS for agency journey management, SeedTrust Escrow for transparent surrogacy and egg‑donation funding, and GatherRecords, which automates medical‑record review and background checks. Our mission is to deliver secure, transparent, and human‑centric software that removes operational friction so families and professionals can focus on building families.
Why this role matters
AI already powers some of our most loved features—but we’re just getting started. In this senior‑level position, you’ll set the technical direction for AI across all Orchid products, architect shared RAG services, and mentor engineers as we scale intelligent capabilities that delight thousands of users.
Key Responsibilities
- Architect & deliver next‑generation retrieval‑augmented generation (RAG) services that power multiple SaaS products.
- Lead end‑to‑end design of chatbots, document summarization pipelines, andLangChain workflows—owning performance, observability, and security.
- Mentor and up skill a small, high‑impact engineering team, fostering best practices inAI/ML development and DevOps.
- Collaborate deeply with product, design, and domain experts to translate ambiguous ideas into shippable, customer‑centric features.
- Drive experimentation—use data to validate hypotheses and iterate rapidly on model choice, prompt design, and UX.
- Champion compliance and ethical AI usage, contributing to SOC 2/HIPAA controls and internal governance guidelines
Must ‑ Have Qualifications
- 6+ years of professional software development, including 3+ years buildingAI/ML‑powered production features.
- Deep hands‑on experience with vector databases, embeddings, RAG, and orchestration frameworks (LangChain, LlamaIndex, etc.).
- Expert‑level Python and strong TypeScript skills; comfortable moving across backend, infrastructure, and front‑end layers.
- Proven track record leading projects or small teams and mentoring engineers.
- Advanced cloud deployment expertise—serverless and containerized workloads on AWS strongly preferred.
- Excellent written and verbal communication, with a bias toward collaboration and knowledge sharing.
- Work Authorization: US Citizen or Permanent Resident
Nice ‑ to ‑ Haves
- Familiarity with Amazon Bedrock, OpenAI fine‑tuning, or multimodal model integrations.
- Experience building streaming chat UIs and real‑time analytics dashboards.
- Ownership of CI/CD pipelines and infrastructure‑as‑code (Terraform/CDK).
- MLOps, data‑pipeline, or DevSecOps know‑how
Tech Stack
- Python (Flask/FastAPI)
- TypeScript (Next.js & React Server Components)
- AWS (Lambda,Bedrock, SageMaker, ECS, S3)
- Postgres & pg vector
- LangChain
- Terraform & GitHubActions for CI/CD.
- We’re pragmatic—always open to the best tool for the job
Experience
- Typescript: 6 years (Required)
- Python: 6 years (Required)
- AI: 3 years (Required)
Join our team and grow with us!
Top Skills
AWS
Github Actions
Langchain
Postgres
Python
Terraform
Typescript
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Staff AI/ML Software Engineer, you will develop scalable ML models, build data pipelines, and enhance user experiences using AI technologies.
Top Skills:
JavaKafkaKubernetesLightgbmPythonPyTorchScalaSparkSpring BootTensorFlowXgboost
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Staff AI/ML Software Engineer designs scalable ML systems, builds data pipelines, and optimizes algorithms for personalization, search ranking, and ML models while ensuring high performance and governance.
Top Skills:
JavaKafkaKubernetesLightgbmPythonPyTorchScalaSparkSpring BootTensorFlowXgboost
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build scalable AI/ML systems for search ranking and personalization, develop real-time ML models, and optimize algorithms. Collaborate across teams to enhance customer experiences through AI-driven technology.
Top Skills:
JavaKafkaKubernetesLightgbmPythonPyTorchScalaSparkSpring BootTensorFlowXgboost
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
