Jobs at Jahnel Group

Lead end-to-end delivery of AI-powered applications: define requirements with clients, translate business needs into technical plans, coordinate cross-functional engineering teams, leverage AI tools for prototyping and delivery, track progress, remove blockers, and drive rapid iteration and continuous improvement.

Administer and maintain Linux (RHEL/CentOS/Ubuntu) and Windows Server environments (AD, Group Policy); automate tasks with Python/Bash/PowerShell; monitor and troubleshoot systems; manage virtualization (VMware/Hyper-V), backups, security, user accounts, and documentation while collaborating with infrastructure and application teams.

As a Data Product Manager, you will bridge data systems and user experiences, manage data quality, and align data strategy with business objectives, while fostering collaboration across teams.

Investigate and resolve application and data-related support tickets; write, test, and execute SQL scripts for data updates and maintenance; troubleshoot production and UAT issues by analyzing data, stored procedures, and application behavior; support reporting and operational data requests; modify and maintain stored procedures, queries, and database processes; collaborate with developers and stakeholders on system workflows and enhancements.

Work with clients, stakeholders, and engineering teams to elicit, document, and translate business needs into user stories, acceptance criteria, process flows, and wireframes. Support discovery, UAT, testing, demos, defect triage, and continuous product improvements while maintaining requirement traceability and communicating scope, risks, and timelines. Occasional travel for client sessions.

The Senior AI Engineer/Architect will design AI-driven solutions, mentor engineers, evaluate new technologies, and ensure systems align with organizational goals.

The Associate Software Engineer will help build, modify, and maintain software solutions while learning various development practices and collaborating with team members.

Build core data and AI infrastructure to ingest, model, and serve unstructured healthcare policy data. Design backend systems, data pipelines, LLM-powered RAG/embedding pipelines, evaluation frameworks, and platform APIs. Improve data quality, auditability, and system reliability while iterating rapidly with founders.

The Software Developer will design and deliver cloud-enabled applications, collaborate with teams, and build scalable solutions. Responsibilities include API maintenance and cloud deployment.

Design and develop AI-powered applications, implement agentic workflows using modern orchestration frameworks, and manage multimodal datasets while staying current with AI trends.

The Senior Software Engineer will design and implement complex applications, develop scalable code, mentor junior engineers, and leverage cloud technologies for deployment.

The AWS DevOps Engineer will design and manage AWS infrastructure using Terraform, build CI/CD pipelines, and collaborate with teams to ensure secure cloud solutions.

The role requires a Principal Software Engineer to lead complex applications, ensure software quality, mentor teams, and drive best practices across projects.

The Senior Software Engineer will design and develop full-stack applications using React, Node.js, and TypeScript, collaborate with cross-functional teams, optimize applications, and mentor junior developers.

Lead and coach Agile software teams, facilitate Scrum ceremonies, manage timelines, risks, and stakeholder communication, and support delivery of AI-enabled solutions across client engagements in a distributed consulting environment.

The HPC Administrator will maintain HPC environments, manage workloads with PBS Professional and Slurm, support GPU infrastructure, automate processes, and ensure compliance with cybersecurity standards.

The Associate Software Developer will contribute to software development, write clean code, assist with API integration, and support cloud-based applications.

The role involves managing HPC systems, administering Linux servers, utilizing container technologies, and supporting storage systems. The candidate must collaborate with teams and address infrastructure needs while ensuring system optimization.

Responsible for technical architecture and system design, ensuring stable production across platforms, guiding decisions, and mentoring the engineering team.

Design, build, and maintain scalable cloud-native data pipelines and ELT/ETL workflows in AWS. Develop and optimize Snowflake data models, ingest structured and unstructured data, and use Databricks/Spark to process large datasets. Implement data quality, governance, monitoring, and orchestration. Collaborate with data scientists, analysts, and engineers to support analytics, reporting, and AI/ML initiatives while optimizing performance and cost.