Senior AI/ML Full Stack Engineer

Da Vinci Software

Location: Remote
Workplace: Remote
Employment: Full Time
Salary: —

Posted 27d ago

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Responsibilities

Design and develop scalable AI solutions combining large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications
Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation, guardrails, APIs, and production monitoring
Develop full-stack applications including responsive user interfaces, backend services, RESTful APIs, data integrations, authentication and authorization, and AI/ML model integrations
Design, build, and maintain CI/CD pipelines using Azure DevOps for build, testing, validation, security checks, and deployment across environments
Implement release management, deployment automation, and troubleshooting of deployment issues
Follow strong software engineering and MLOps practices including modular architecture, reusable components, version control, automated testing, code reviews, logging, observability, error handling, performance optimization, security, maintainability, and production support
Collaborate with product owners, clinical or business stakeholders, architects, DevOps engineers, and security teams to gather and translate requirements and communicate technical decisions

Requirements

Bachelor's degree in Computer Science or related field with 7 years of experience, or Master's degree with 5 years of experience
Strong Python programming and SQL experience
Hands-on experience building production-grade Generative AI and LLM-powered applications
Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citation generation
Experience with ML/NLP model development, evaluation, deployment, and performance monitoring
Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy
Experience implementing AI safety guardrails, content moderation, blocked topics, escalation logic, and responsible AI controls
Experience with full-stack application development, including modern front-end frameworks, backend services, REST APIs, authentication, and application integration
Experience designing and developing CI/CD pipelines using Azure DevOps
Experience with Git-based source control, automated testing, build pipelines, deployment pipelines, release management, and environment configuration
Experience with cloud platforms such as Azure, GCP, AWS, or OCI
Experience with tools and technologies such as Azure DevOps, Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or comparable cloud and MLOps technologies
Experience with containerized application development and deployment using Docker
Experience designing and consuming APIs and integrating AI/ML services into enterprise applications
Experience with production monitoring, logging, observability, model/application performance tracking, and troubleshooting
Strong understanding of secure software development, data privacy, and enterprise application development practices
Strong communication skills and ability to collaborate effectively with both technical and non-technical stakeholders

Preferred

Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred

Skills

Python
SQL
LLM
Prompt Engineering
Embeddings
Semantic Search
Query Expansion
ML
NLP
Azure DevOps
Git
Azure
GCP
AWS
OCI
Vertex AI
AWS Bedrock
SageMaker
BigQuery
Snowflake
OpenSearch
Cloud Run
Docker
Airflow
Terraform
REST APIs
CI/CD

Responsibilities

Requirements

Preferred

Skills

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