Top 3 Sap Developer Jobs in Portland, ME

Application Development and Implementation Engineer
RitePros —Portland, ME
- Azure
- Computer Science
- Bachelor's degree
2d
Manufacturing Automation Engineer, Westbrook, ME
SEDAA —Westbrook, ME
- $40,000 - $85,000 a year
- Overtime
- Bachelor of Science
- Engineering
- System design
Quick Apply

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Application Development and Implementation Engineer

RitePros
Portland, ME

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Job Details

2 days ago

Qualifications

AI models
Containerization systems
Continuous deployment
Data validation techniques
Data structures
IT system monitoring
System performance optimization
AI platforms (beyond public GPTs)
Computational framework
Microservices
Event-driven architecture
Machine learning cloud services
Machine intelligence
Model deployment
Data quality monitoring
Mentoring
Software documentation
Regulatory/legal compliance standards in production
Production monitoring
Model training
Serverless cloud services
DevOps automation
Machine learning libraries
Data performance optimization
Legal compliance
Model evaluation
Machine learning frameworks
Project stakeholder communication
MLOps
Statistical analysis tools

Full Job Description

Application Development and Implementation Engineer with Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Duties and Responsibilities:

Collaborate with product owners, data scientists, architects, and business teams to understand AI/ML requirements.
Translate business needs into technical specifications, acceptance criteria, performance targets, and operational requirements.
Design scalable and secure APIs, microservices, data flows, batch pipelines, and event-driven integrations.
Develop backend services using Python and build REST APIs that expose AI and machine- learning capabilities.
Integrate applications with ML models, LLMs, vector databases, enterprise systems, cloud services, databases, and messaging platforms.
Implement RAG pipelines, embeddings, semantic search, vector search, and agent-based workflows.
Work with data scientists to package, deploy, version, and manage trained models across cloud and internal platforms.
Develop preprocessing, post-processing, data-cleaning, transformation, and validation pipelines.
Maintain consistency between training and production data while addressing schema changes, missing data, and data-quality issues.
Implement validation, exception handling, logging, authentication, authorization, encryption, and audit controls.
Write unit, integration, API, performance, regression, and user-acceptance tests.
Validate model accuracy, confidence scores, fallback behavior, hallucinations, bias, prompt injection, and sensitive-data leakage..
Containerize applications using Docker, deploy them to Kubernetes or cloud platforms, and support controlled releases and rollbacks.
Monitor application and model performance, investigate production incidents, ensure regulatory compliance, conduct reviews, and maintain technical and operational documentation.
Establish and enforce technical standards, architectural principles, and coding best practices.
Serve as the primary technical liaison for cross-functional stakeholders across Finance, Product, and Operations.
Perform comprehensive code reviews to ensure quality, maintainability, and security.
Drive incident management, root cause analysis, and continuous improvement initiatives.
Break down complex requirements into well-defined engineering tasks and delivery milestones.
Proactively identify and address technical debt, balancing immediate delivery needs with long- term system sustainability.
Co-ordinate with offshore and onshore teams resolved common challenges and discussed daily ticket status updates.

Technologies Involved / Skills required for the position:

Strong programming skills, including object-oriented programming, data structures, exception handling, and performance optimization.
Experience with machine-learning frameworks such as TensorFlow, PyTorch, Scikit-learn and Hugging Face.
Knowledge in building RAG solutions using LangChain, LangGraph, LlamaIndex, and document-processing pipelines.
Knowledge of vector databases such as Pinecone, Chroma, FAISS, Weaviate, OpenSearch, and pgvector.
Experience integrating AI models through OpenAI, Anthropic, Gemini, AWS Bedrock, Azure OpenAI, or Hugging Face APIs.
Strong backend and REST API development experience using FastAPI or similar frameworks.
Experience with data-processing technologies, including Pandas, NumPy, PySpark, SQL, and data-validation tools.
Knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, or DynamoDB.
Experience with messaging and event-driven technologies such as Kafka, RabbitMQ, AWS SQS, SNS, and EventBridge.
Experience deploying AI/ML applications using Docker, Kubernetes, serverless services, and cloud platforms.
Understanding of MLOps practices, including model versioning, experiment tracking, CI/CD, automated testing, rollback, and monitoring.
Experience monitoring application performance, model drift, data drift, prediction quality, latency, token usage, and cloud cost.
Knowledge of AI security, responsible AI, privacy, model governance, explainability, and regulatory compliance.
Excellent problem-solving, architecture, code-review, documentation, mentoring, communication, and stakeholder-management skills.

Work location is Portland, ME with required travel to client locations throughout USA.

Rite Pros is an equal opportunity employer (EOE).

Please Mail Resumes to:
Rite Pros, Inc.
565 Congress St, Suite # 305
Portland, ME 04101.

Email: [email protected]

Apply Now

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Sap Developer jobs in Portland, ME

Application Development and Implementation Engineer

Manufacturing Automation Engineer, Westbrook, ME

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