Note: The job is a remote job and is open to candidates in USA. Genesis10 is recruiting for a global medical technology company seeking a Backend AI Engineer for a remote contract position. The role develops generative AI solutions, including RAG pipelines, LLM fine-tuning, scalable backend APIs, and data-processing workflows for regulated medical-device applications.
Responsibilities
- Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance
- Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses
- Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies
- Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents
- Fine-tune and train generative AI models using engineering data and domain knowledge
- Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces
- Develop backend functionalities to automatically generate technical requirements from design documents and user stories
- Thoroughly document architecture, code, REST endpoints, and model training procedures
- Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows
- Implement hallucination checks, PII masking, and guardrails for medical device context, and track token usage, latency, and costs
Skills
- Bachelor's degree in Software/Computer/IT/Systems/Biomedical Engineering or a related technical discipline
- 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years
- Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration
- Experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes)
- Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith)
- Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data
- Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector)
- Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, etc)
- Software Skills: Python (AsyncIO, OOP), SQL, PyTorch, LangChain, LangSmith, Vertex AI SDK, FastAPI, Flask, REST APIs, SSE, Milvus, Pgvector, Docker, Google Cloud Platform (Vertex AI, Cloud Run, GKE), Git
- Only candidates available and ready to work directly as Genesis10 employees will be considered for this position
- Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask)
- Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485)
- Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude)
- Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration)
- Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer)
Benefits
- For contract roles, Genesis10 offers the benefits listed below.
- Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
- The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
- Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
- Behavioral Health Platform
- Medical, Dental, Vision
- Health Savings Account
- Voluntary Hospital Indemnity (Critical Illness & Accident)
- Voluntary Term Life Insurance
- 401K
- Sick Pay (for applicable states/municipalities)
- Commuter Benefits (Dallas, NYC, SF, and Illinois)
Company Overview
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