2

Remote Adabas Natural Developer Jobs in Washington

This is a remote access assignment. The Candidate will work remotely daily and will remotely access ... natural language processing (NLP), and computer vision as appropriate to improve healthcare service ...

DevOps/MLOps Engineer

Ashburn, VA ยท On-site +1

$54 - $74/hr

... Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services ... Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth:

Sr. Developer

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Natural inclination for planning strategy and tactics. Ability to analyze problems and determine ...

Sr. Developer (USCB)

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Natural inclination for planning strategy and tactics. Ability to analyze problems and determine ...

Sr. Developer (US Census Bureau)

Greenbelt, MD ยท Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Natural inclination for planning strategy and tactics. Ability to analyze problems and determine ...

next page

Showing results 1-20

Remote Adabas Natural Developer information

What are some typical challenges faced by Remote Adabas Natural Developers when collaborating with distributed teams?

Remote Adabas Natural Developers often encounter challenges such as coordinating with team members across different time zones, ensuring consistent communication, and managing dependencies on legacy systems. To overcome these, developers typically rely on clear documentation, regular virtual meetings, and collaborative tools to keep projects on track. Proactive communication and familiarity with remote collaboration platforms are key to successfully integrating with both technical and business teams.

What is a Remote Adabas Natural Developer?

A Remote Adabas Natural Developer is a software professional who specializes in programming and maintaining applications using the Adabas database and Natural programming language, while working from a remote location. Adabas is a high-performance, non-relational database system, and Natural is a 4GL (fourth-generation programming language) often used in enterprise environments, especially on mainframe systems. These developers are responsible for designing, coding, testing, and supporting business applications, often for large organizations in sectors like finance, healthcare, or government. Remote Adabas Natural Developers collaborate with team members and stakeholders through online tools, ensuring timely delivery and maintenance of mission-critical systems.

What are the key skills and qualifications needed to thrive as a Remote Adabas Natural Developer?

To thrive as a Remote Adabas Natural Developer, you need strong programming skills in Natural, experience with Adabas databases, and a background in software development, often supported by a relevant degree. Familiarity with mainframe environments, version control systems, and understanding of integration tools like EntireX or web services is typically required. Excellent problem-solving abilities, communication skills, and self-motivation are critical soft skills for remote collaboration and effective project delivery. These competencies enable efficient development, maintenance, and troubleshooting of legacy systems, ensuring business continuity and robust application support.

What is the difference between Remote Adabas Natural Developer vs Remote COBOL Developer?

AspectRemote Adabas Natural DeveloperRemote COBOL Developer
Required CredentialsAdabas Natural certification, programming experienceCOBOL certification, mainframe programming skills
Work EnvironmentMainframe and legacy systems, client-server setupsMainframe environments, legacy system maintenance
Industry UsageBanking, insurance, financeBanking, government, insurance
Common Search/ComparisonYesYes

The main difference between a Remote Adabas Natural Developer and a Remote COBOL Developer lies in their specific programming languages and systems. Adabas Natural developers focus on Natural language and Adabas database systems, often in legacy environments, while COBOL developers work primarily with COBOL in mainframe settings. Both roles are common in finance and insurance sectors, but their skill sets and certifications differ accordingly.

What are the most commonly searched types of Adabas Natural Developer jobs in Washington? The most popular types of Adabas Natural Developer jobs in Washington are:
What are popular job titles related to Remote Adabas Natural Developer jobs in Washington? For Remote Adabas Natural Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Adabas Natural Developer jobs in Washington look for? The top searched job categories for Remote Adabas Natural Developer jobs in Washington are:
What cities in Washington are hiring for Remote Adabas Natural Developer jobs? Cities in Washington with the most Remote Adabas Natural Developer job openings:

Conversational AI Developer

Noblesoft Technologies

Adelphi, MD โ€ข Remote

Contractor

Re-posted 21 days ago


Job description

Role: Conversational AI Developer

Location: Adelphi, Maryland – Hybrid/Remote

Duration: 12+ months

Local candidates preferred

Need LinkedIn profile

Must Have: Chatbot developers Microsoft Foundary

Job Summary

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies.

Responsibilities:

  • Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
  • Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
  • Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
  • Leverage Generative AI services to enhance chatbot responses with creativity and personalization
  • Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
  • Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
  • Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization
  • Stay updated on the latest advancements in Conversational AI technologies and best practices

Preferred Qualifications:

  • 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
  • Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
  • Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
  • Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
  • Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
  • Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
  • Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation
  • Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
  • Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
  • SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work independently and manage multiple projects simultaneously
  • Passion for innovation and a strong desire to push the boundaries of Conversational AI technology

Benefits:

  • Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Education
  • Work on challenging and rewarding projects that make a real impact
  • Opportunity to learn and grow your skills in a dynamic and fast-paced environment