JOBSEARCHER

Python AI/ML Engineer

About The Company: Akina, Inc. is based in Columbia, Maryland and supports work involving mission-critical infrastructure cognizance. The company brings together technical expertise and analytical problem-solving to help turn complex information into useful insights. Akina’s work requires careful attention to data quality, system performance, and the needs of stakeholders who rely on accurate, timely analysis. The organization values collaboration across disciplines and the thoughtful use of emerging technologies to address challenging operational and engineering problems.
About The Role: Akina is seeking a Senior Systems Engineer (SE3) to lead end-to-end feature delivery for mission-critical infrastructure cognizance. In this role, you will help translate complex data and user needs into reliable, actionable solutions. You will contribute across the development lifecycle, from understanding requirements and designing technical approaches to building, integrating, and refining applications and data workflows. The position combines systems engineering, full-stack application development, data integration, and applied artificial intelligence. You will use AI and machine-learning techniques to accelerate analysis and solution design while applying sound engineering judgment to assess results. You will also develop ETL workflows to reconcile requested infrastructure with realized infrastructure, supporting clearer visibility into differences, dependencies, and outcomes. Success requires a balance of technical depth, communication, and the ability to work effectively with cross-functional teams.
Qualifications: Candidates should bring substantial systems engineering or software development experience, including the ability to guide complex technical work from requirements through delivery. Experience designing and developing full-stack applications is important, as is familiarity with data pipelines, ETL processes, and methods for integrating information from multiple sources. Applicants should be comfortable working with AI or machine-learning techniques and evaluating how they can support analysis, automation, or solution design. A strong candidate can break down ambiguous problems, identify technical constraints, and recommend practical approaches. The ability to communicate clearly with technical and nontechnical stakeholders is essential, as is experience collaborating with colleagues across engineering, data, and mission-focused disciplines. Attention to data integrity, system reliability, documentation, and responsible technology use will support success in this role. Relevant education, professional experience, or an equivalent combination of both is expected.
Responsibilities: Lead end-to-end feature delivery, coordinating requirements, design, implementation, integration, testing, and refinement. Design, develop, and maintain full-stack applications that present complex information in useful and accessible ways. Build and improve ETL workflows that reconcile requested infrastructure with realized infrastructure, and help ensure that data is traceable, consistent, and suitable for analysis. Apply AI and machine-learning methods to accelerate analytical workflows and inform solution design. Assess outputs for quality and relevance, and incorporate appropriate safeguards and human review. Work with cross-functional teams to clarify needs, share technical findings, resolve dependencies, and keep delivery aligned with operational objectives. Identify opportunities to improve system performance, usability, maintainability, and data quality. Document technical decisions and communicate progress, risks, and recommendations to relevant stakeholders.
Benefits: Akina offers the opportunity to contribute to technically challenging work with meaningful infrastructure applications. The role provides exposure to full-stack engineering, data integration, systems-level problem solving, and emerging AI capabilities. Team collaboration and ownership of work from concept through delivery can support continued professional growth. Compensation, benefits, and any role-specific arrangements will be discussed during the hiring process.
Equal Opportunity: Akina, Inc. is committed to fair and equitable employment practices. Candidates will be considered based on their qualifications, skills, and experience, without discrimination on any basis protected by applicable law. We encourage qualified applicants from diverse backgrounds to apply.