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Lotus Engineering Jobs (NOW HIRING)

Sharepoint Developer

New York, NY ยท On-site

$53.50 - $70/hr

... Lotus Notes to SharePoint 2013 - must have SP 2013 skills, ideally some knowledge of Lotus Notes ... Hands-on programming experience with the .NET Framework (C#, ASP), MVC, and WCF. Experience ...

VERY STRONG LOTUS NOTES SKILLS. o IBM CERTIFIED ADVANCED APPLICATION DEVELOPER - LOTUS NOTES DOMINO 8 STRONGLY PREFERRED. o CONSULTANT SHOULD BE ABLE TO DEMONSTRATE THE SKILLS REQUIRED TO EFFECTIVELY ...

Sharepoint Developer

New York, NY

$53.50 - $70/hr

More than 5-7 year s professional experience as Migration Engineer ... Experience in migrating from Lotus Notes to Exchange Strong working knowledge of Microsofts email ...

Director of Engineering

Denver, CO ยท On-site

$90 - $130/hr

... Lotus Notes * Interaction management, employee development, excellent communication skills (both verbal and written) #J-18808-Ljbffr

Senior Software Engineer

Mclean, VA ยท On-site

$111 - $185/hr

Legacy Modernization Reverse engineer legacy applications and migrate Lotus Notes data into SharePoint and modern web environments. * Mission Support Analyze user needs, deliver Agile solutions ...

Showing results 41-60

Lotus Engineering information

See salary details

$57

$61

$62

How much do lotus engineering jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for lotus engineering in the United States is $61.06, according to ZipRecruiter salary data. Most workers in this role earn between $60.10 and $62.02 per hour, depending on experience, location, and employer.

What is Lotus Engineering?

Lotus Engineering is the engineering consultancy division of Lotus Cars, specializing in automotive design, engineering, and technology services. The company is renowned for its expertise in lightweight vehicle architecture, chassis development, and advanced propulsion systems. Lotus Engineering works with automotive manufacturers and other industries worldwide, providing solutions in areas such as ride and handling, aerodynamics, and electrification. Their innovations have been used in both Lotus vehicles and products from other major brands.

What types of projects can I expect to work on as an engineer at Lotus Engineering?

As an engineer at Lotus Engineering, you can expect to work on a variety of innovative projects, ranging from vehicle chassis development and lightweighting solutions to electric vehicle (EV) powertrain integration and advanced aerodynamics. The work environment is highly collaborative, often involving close coordination with multidisciplinary teams including design, testing, and manufacturing. Engineers are encouraged to contribute creative ideas and are given opportunities to see projects through from concept to prototype and final production. This dynamic setting offers significant opportunities for professional growth, exposure to cutting-edge automotive technologies, and the chance to make a tangible impact on the future of mobility.

What is the difference between Lotus Engineering vs Mechanical Engineer?

AspectLotus EngineeringMechanical Engineer
Required CredentialsBachelor's degree in engineering, specialized training in automotive or vehicle systemsBachelor's degree in mechanical engineering, professional engineering license (optional)
Work EnvironmentAutomotive R&D centers, design studios, testing facilitiesManufacturing plants, design offices, research labs
Industry UsageAutomotive, motorsport, high-performance vehicle designManufacturing, aerospace, energy, product design

Lotus Engineering focuses on automotive and vehicle-specific engineering projects, often within high-performance and motorsport contexts. Mechanical Engineers have a broader scope across various industries, including manufacturing and energy. While both roles require a strong engineering background, Lotus Engineering specialists typically have specialized automotive training, making them distinct in their focus and work environment.

What are the key skills and qualifications needed to thrive as a Lotus engineer, and why are they important?

To thrive as a Lotus Engineer, you need a strong background in mechanical, automotive, or electrical engineering, often supported by a relevant degree and experience in vehicle design and testing. Familiarity with CAD software, simulation tools, and industry standards like ISO/TS 16949 is typically required. Creativity, problem-solving, and teamwork are important soft skills to innovate and collaborate effectively within multidisciplinary teams. These skills and qualities are essential for delivering high-performance, safe, and innovative automotive solutions in a competitive industry.
More about Lotus Engineering jobs
What states have the most Lotus Engineering jobs? States with the most job openings for Lotus Engineering jobs include:
Infographic showing various Lotus Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,000 per year, or $61.1 per hour.

Member of Technical Staff

Lotus Health AI, Inc

San Francisco, CA โ€ข On-site

Full-time

Re-posted 13 days ago


Job description

Member of Technical Staff @ Lotus AI
Who we are
Lotus AI is a groundbreaking primary care app that integrates your medical records, AI, and real doctors to provide free, personalized healthcare and prescriptions.
Our team includes ex-founders and engineers who have built and scaled consumer apps to millions of users with prior successful exits. Lotus is backed by Kleiner Perkins, CRV, clinicians at Harvard and Stanford among others.
What this role is
  • You'll help build and operate the AI + data systems behind AI-driven primary care.
  • This is a generalist role. You may work across model training and fine-tuning, model tooling, data pipelines, retrieval/evals, and product workflows.
  • You'll be close to the core system and involved in product decisions from day 1.
  • You'll design and scale the data and retrieval systems that power Lotus's clinical AI, improving correctness, traceability, and explainability in how medical information is surfaced, validated, and applied in real-world care.
  • You'll help shape our real-time voice and video AI capabilities, building the foundation for intelligent, multimodal patient interactions.
What this role is not
  • Not a big-company role with tight scope and clear lanes.
  • Not a place with a formal hierarchy or long onboarding ramp.
  • Not a "ticket queue" job. Priorities will change week to week based on user needs, clinician feedback, safety issues, and what's breaking.
What you'll do
  • AI Agents and Product Intelligence
    • Build and iterate on AI agent workflows that handle multi-step clinical reasoning, tool use, and structured decision-making.
    • Design guardrails, fallback logic, and escalation paths to ensure safe autonomous behavior in patient-facing products.
    • Prototype and ship new AI-powered product features end-to-end, from model selection to UX integration.
  • AI Knowledge Base and Search Improvements
    • Improve knowledge bases so that citations resolve to original data and searches are fast, relevant, and prioritize tier-one medical information.
    • Continuously enhance retrieval accuracy and data lineage tracking.
  • AI Data Ingestion and Integrity
    • Rebuild data pipelines to eliminate stale data, support clinician and patient corrections, and ensure full traceability.
    • Design models that sync cleanly with health data partners and credentialing authorities.
    • Build and maintain data curation pipelines that produce high-quality training and evaluation datasets from clinical interactions.
  • Voice and Video AI
    • Build and optimize real-time voice pipelines for patient-facing interactions, including speech-to-text, natural language understanding, and text-to-speech.
    • Develop low-latency, streaming voice agents that can conduct clinical intake, triage, and follow-up conversations with empathy and medical accuracy.
    • Fine-tune voice and video models for medical terminology, diverse accents, and accessibility needs.
    • Design interruption handling, turn-taking logic, and conversational state management for natural, fluid voice experiences.
  • Observability and Analytics
    • Build monitoring and analytics for background jobs to monitor failure rates and identify partner vs. internal issues.
    • Streamline tracing, logging, and auditing to reduce redundancy while maintaining compliance-grade visibility.
    • Instrument model performance tracking in production - monitoring latency, token usage, output quality, and drift over time.
  • Model Training and Fine-Tuning
    • Fine-tune and adapt foundation models on clinical data to improve diagnostic accuracy, safety, and tone for patient-facing interactions.
    • Design and run training pipelines including data curation, annotation workflows, hyperparameter tuning, and model evaluation.
    • Develop and maintain evaluation frameworks (automated and human-in-the-loop) to measure model quality, safety, and regression across releases.
    • Experiment with prompt engineering, RLHF, distillation, and other techniques to optimize model behavior for healthcare-specific use cases.

What you bring
  • Strong programming skills, preferably Python
  • Experience with system refactors, schema migrations, and data infrastructure simplification
  • Familiarity with PostgreSQL (including JSONB and vector types) and AWS
  • Experience building production systems that power AI or ML workflows
  • Hands-on experience with LLM APIs, prompt engineering, and shipping AI-powered product features
  • Comfort working across the stack, from schema design to production debugging

Bonus points
  • Familiarity with training infrastructure and frameworks (PyTorch, Hugging Face, vLLM, Axolotl, or similar)
  • Experience with RLHF, DPO, or other alignment and preference-tuning techniques
  • Experience building or improving AI agent systems with tool use and multi-step reasoning
  • Experience building retrieval systems for LLMs (RAG pipelines, vector search, grounding)
  • Familiarity with FastAPI, SQLAlchemy, DuckDB, Temporal, ClickHouse, Valkey, or similar systems
  • Experience with real-time voice AI systems, speech models, computer vision, medical imaging, or multimodal models that combine text, audio, and visual inputs
  • Knowledge of logging/monitoring stacks (Sentry, Langfuse) and containerized deployments (Docker, ECS)
  • Experience simplifying multi-layered data systems where architectural issues cascade through storage, logging, and application layers
  • Strong intuition for designing systems that balance correctness, observability, and performance

Why Lotus
We are redefining how healthcare data is understood and acted upon. You'll work with a world-class group of engineers, clinicians, and AI researchers to build something with lasting impact to improve healthcare.
As an AI Engineer on a small, exceptional team you'll have the autonomy to build the systems that make our clinical AI safe, fast, and explainable. Your work will directly influence patient care at scale.
What success will look like in the first 90 days
30 days
  • Shipping reliably, understands the core system, owns a small surface area

60 days
  • Owning a meaningful system and improves a key metric (quality, latency, clinician wait time, data reliability, etc.)

90 days
  • Independently driving a roadmap slice and raises the team's bar (agents/evals/monitoring)

What the interview process looks like
  • Quick intro call
  • Short technical screen
  • 1 deeper technical interview + team chat
  • References + offer
  • We usually wrap the process in ~7-10 days