Careers

Location:

Dallas, TX /Customer on-site (as required)

Job Type:

Full-Time

About Rannsolve:

Rannsolve is a leader in AI-driven Intelligent automation products, offering solutions like Cognitive Data Extractor (CDE), Cognitive Chart Reader (CCR) and Cognitive process Automator (CPA) that streamline document processing, automate data extraction, provide data aggregation, and provide customized reporting. These products also provide productivity improvement and facilitate increase in revenue and efficient decision making, across various industries such as Finance, Legal, Energy and Healthcare. Our mission is to drive digital transformation by integrating cutting-edge AI with business workflows.

Job Summary:

As an AI Customer Solutions Consutant, you will be the technical interface to the customer, guiding clients through solution demonstrations, onboarding, and post-implementation support. This role bridges the gap between Rannsolve’s AI technology and the client’s operational needs, ensuring successful adoption and value realization.

Key Responsibilities:

1. Pre-Sales Support & Demos

• Conduct customized product demonstrations for prospective customers.
• Translate business requirements into automation workflows to showcase real-world applications.
• Work closely with the sales team to create Proof-of-Concepts and pilot solutions.
• Participate in onsite customer meetings/discussions.

1. Customer Onboarding & Implementation

• Guide new customers through the onboarding process. Setup, data integration, and template configuration.
• Collaborate with product and engineering teams to ensure smooth deployment and training.

1. Client Support & Relationship Management

• Will be the primary technical point of contact for customers post-sale.
• Troubleshoot issues, offer product guidance, and escalate critical concerns to the development team.
• Monitor usage and performance metrics to proactively improve customer experience.

1. Product Feedback & Continuous Improvement

• Gather client feedback to inform product roadmap and feature enhancement.
• Create technical documentation, onboarding guides, and best practices.

Qualifications:

• Bachelor’s degree in computer science or an equivalent field.
• 3+ years of experience in customer-facing roles in SaaS, enterprise software, or automation platforms.
• Strong knowledge of OCR, document processing, or intelligent automation tools (e.g., ABBYY, UiPath, Kofax).
• Familiarity with JSON, APIs, and basic scripting (Python preferred).
• Excellent communication and presentation skills.
• Ability to work independently, prioritize tasks, and manage time effectively.

Preferred Skills:

• Experience with Finance, healthcare, legal, or energy domain workflows.
• Understanding of HIPAA, SOC 2, or other compliance frameworks.
• Familiarity with cloud platforms like AWS, Azure, GCP
• Experience with document management systems (e.g., SharePoint, OpenText, M-Files, OnBase etc.).

What We Offer:

• Flexible work environment.
• Opportunities to work with cutting-edge AI solutions.
• Learning and development support
• Performance incentives

We are seeking for Data Scientist to our Data Science team. This role is ideal for professionals with significant experience in Python programming, machine learning, and advanced data analysis techniques. Expertise in Python is crucial, and a deep understanding of OCR technologies will be highly advantageous. Familiarity with AWS cloud services is also essential to leverage cloud-based data analytics and machine learning tools.

Qualifications:

• Advanced proficiency in Python programming, with extensive experience using libraries like Pandas, NumPy, and scikit-learn.
• Expert knowledge of machine learning techniques and frameworks, with substantial experience in developing, deploying, and maintaining sophisticated models.
• Proven track record in implementing deep learning solutions, utilizing architectures such as CNNs, RNNs, and transformers.
• Thorough understanding of OCR technologies and their applications in real-world scenarios.
• Experience with generative AI, including work with both open-source and commercial Large Language Models (LLM).
• Proficiency in using AWS for deploying and managing applications, utilizing services such as S3, EC2, RDS, and AWS Lambda for scalable data processing and machine learning workflows.
• Comprehensive knowledge of data structures, algorithms, and statistical methods.
• Strong analytical skills, with an exceptional ability to solve complex problems and drive critical decision-making processes.
• Excellent communication skills, with proven experience in leading teams and collaborating effectively across various departments.

Key Responsibilities:

• Lead and mentor a team of data scientists in developing and optimizing algorithms to analyze and interpret complex datasets using Python and its libraries.
• Design and implement robust Machine learning models and predictive analytics solutions across various business units to support strategic objectives.
• Innovate and apply state-of-the-art Deep learning techniques for image and document analysis, including advanced object detection and NLP applications.
• Drive the integration of OCR technologies to enhance our data extraction and analysis capabilities.
• Oversee the design and development of scalable data processing pipelines, ensuring the alignment with business requirements and long-term strategic goals. utilizing AWS cloud infrastructure for enhanced performance and scalability.
• Foster a culture of continuous improvement by staying abreast of the latest advancements in data science, machine learning, and OCR technology.
• Lead cross-functional projects, providing data-driven insights and recommendations to executive leadership and stakeholders.
• Ensure the highest standards of data integrity and reliability across all data science projects.

We are seeking for Data Scientist to lead our Data Science team. This role is ideal for professionals with significant experience in Python programming, machine learning, and advanced data analysis techniques. Expertise in Python is crucial, and a deep understanding of OCR technologies will be highly advantageous. Familiarity with AWS cloud services is also essential to leverage cloud-based data analytics and machine learning tools.

Qualifications:

• Advanced proficiency in Python programming, with extensive experience using libraries like Pandas, NumPy, and scikit-learn.
• Expert knowledge of machine learning techniques and frameworks, with substantial experience in developing, deploying, and maintaining sophisticated models.
• Proven track record in implementing deep learning solutions, utilizing architectures such as CNNs, RNNs, and transformers.
• Thorough understanding of OCR technologies and their applications in real-world scenarios.
• Experience with generative AI, including work with both open-source and commercial Large Language Models (LLM).
• Proficiency in using AWS for deploying and managing applications, utilizing services such as S3, EC2, RDS, and AWS Lambda for scalable data processing and machine learning workflows.
• Comprehensive knowledge of data structures, algorithms, and statistical methods.
• Strong analytical skills, with an exceptional ability to solve complex problems and drive critical decision-making processes.
• Excellent communication skills, with proven experience in leading teams and collaborating effectively across various departments.

Key Responsibilities:

• Lead and mentor a team of data scientists in developing and optimizing algorithms to analyze and interpret complex datasets using Python and its libraries.
• Design and implement robust Machine learning models and predictive analytics solutions across various business units to support strategic objectives.
• Innovate and apply state-of-the-art Deep learning techniques for image and document analysis, including advanced object detection and NLP applications.
• Drive the integration of OCR technologies to enhance our data extraction and analysis capabilities.
• Oversee the design and development of scalable data processing pipelines, ensuring the alignment with business requirements and long-term strategic goals. utilizing AWS cloud infrastructure for enhanced performance and scalability.
• Foster a culture of continuous improvement by staying abreast of the latest advancements in data science, machine learning, and OCR technology.
• Lead cross-functional projects, providing data-driven insights and recommendations to executive leadership and stakeholders.
• Ensure the highest standards of data integrity and reliability across all data science projects.

We are looking for an enthusiastic and motivated Python Full Stack Developer with 3+ years of experience to join our team. In this role, you will contribute to the development and maintenance of applications using technologies such as Django, Flask, or FastAPI for the backend, and ReactJS for the frontend. This position offers an excellent opportunity to build your skills in full-stack development and cloud-based solutions. 

Responsibilities 

1. Develop and maintain scalable applications using Django, Flask, or FastAPI for backend services and ReactJS for frontend interfaces. 
2. Build RESTful APIs and integrate them with frontend systems. 
3. Collaborate with team members to translate requirements into functional technical solutions. 
4. Participate in writing clean, maintainable, and efficient code. 
5. Troubleshoot and resolve application bugs or performance issues. 
6. Write unit tests and participate in code reviews to ensure code quality. 
7. Optimize applications for better performance and scalability. 
8. Document codebase, APIs, and technical solutions effectively. 

Requirements 

• Hands-on experience with Python and frameworks like Django, Flask, or FastAPI. 
• Basic knowledge of ReactJS and its associated libraries (e.g., Axios, React Router). 
• Familiarity with RESTful API design and integration. 
• Understanding of cloud services like AWS or similar platforms. 
• Proficiency in relational databases (e.g., PostgreSQL, MySQL). 
• Knowledge of front-end technologies like HTML5, CSS3, and JavaScript. 
• Experience with version control systems like Git. 
• Good problem-solving and debugging skills. 

Preferred Qualifications 

• Exposure to containerization tools like Docker. 
• Understanding of Agile development methodologies. 
• Familiarity with CI/CD pipelines is a plus. 

We are looking for a Quality Assurance (QA) engineer who will manage exploratory and automated tests to ensure product quality. You will design and implement tests٫ debug and define corrective actions٫ review system requirements and track quality assurance metrics. Besides٫ you should monitor all stages of development to identify and resolve system malfunctions to meet quality standards.

Responsibilities:

• Prepare detailed٫ comprehensive and well-structured test plans and test cases
• Review requirements٫ specifications and technical design documents to provide timely and meaningful feedback
• Plan and coordinate testing activities٫ thoroughly identifying and documenting bugs
• Build and execute automation scripts using open source tools
• Organize testing processes for new and existing products to meet client needs
• Collaborate with internal teams to identify system requirements
• Review debugging process results
• Track quality assurance metrics٫ like defect densities and open defect counts
• Analyze the causes of non-conforming software and train users to implement solutions
• Maintain relevant knowledge about new testing tools and test strategies

Requirements:

• 3+ years’ experience of working on a QA Engineer position
• Significant experience of working in software development teams and using software QA methodologies and tools
• Solid experience in writing clear٫ concise and comprehensive test plans and test cases
• Significant experience with both white box and black box testing
• Experience with automated testing tools
• Good knowledge of SQL and scripting