Full Time Artificial Intelligence Engineer Jobs, in Aleph-Labs Federal Territory - Maukerja

Aleph is a creative engineering company comprising a striking group of craftsmen specialised in strategy, design, technology, and marketing. We work together to plan, write and produce internet, mobile, and desktop solutions for the most daring set of clients who see the future and engage Aleph as their rocket fuel.

The AI Product Engineer will design, build, and scale enterprise-grade AI platforms that transform complex operational data into actionable intelligence and automated workflows. Working across multimodal data sources, cloud infrastructure, and modern AI ecosystems, the successful candidate will develop production-ready AI solutions that balance innovation, reliability, governance, and business impact. The role requires strong engineering fundamentals, product thinking, and the ability to deliver secure and auditable AI systems in enterprise environments.

Key Responsibilities

Enterprise AI Solution Engineering - Design and develop scalable AI-powered applications, workflow systems, and intelligent automation platforms using Python and modern AI frameworks. Build solutions that transform unstructured and structured enterprise data into operational insights and business outcomes.

AI Workflow & Orchestration Development - Build and maintain AI orchestration layers, APIs, asynchronous processing systems, and human-in-the-loop workflows. Implement robust monitoring, auditability, versioning, and governance controls across AI applications.

Multimodal Data Engineering - Develop pipelines capable of processing and integrating multiple data sources, including documents, images, video, sensor data, and operational records. Ensure data quality, traceability, and efficient processing across the AI ecosystem.

AI Product Delivery & Optimization - Collaborate with product managers, designers, architects, and business stakeholders to translate business challenges into AI-enabled solutions. Continuously evaluate model performance, workflow effectiveness, and user feedback to drive iterative product improvements.

Cloud & Platform Architecture - Design secure and scalable cloud-native architectures leveraging AWS, Azure, or GCP. Ensure solutions meet enterprise standards for reliability, performance, security, and compliance.

Intelligence Extraction & Decision Systems - Develop AI systems capable of anomaly detection, intelligence extraction, evidence reconciliation, confidence scoring, and decision-support workflows. Build feedback-driven systems that continuously improve through human review and operational insights.

Governance, Security & Compliance - Implement enterprise-grade controls covering access management, permissions, audit trails, model governance, and data security. Ensure all AI solutions align with organizational policies and regulatory requirements.

Prerequisites

5+ years of software engineering, AI engineering, machine learning engineering, or backend platform development experience. Proven experience delivering production-grade applications and enterprise technology solutions. Experience working in Agile product development environments.

Strong hands-on experience with: Python, FastAPI or equivalent backend frameworks, REST APIs and microservices architecture, Cloud platforms (AWS, Azure, or GCP), PostgreSQL and relational databases, Asynchronous processing and distributed systems, Enterprise backend application development, Git-based development workflows

AI & Data Engineering Experience: Practical experience with LLM APIs and AI application development, Prompt engineering and AI workflow orchestration, Retrieval-Augmented Generation (RAG), Vector databases, Data processing pipelines, Model evaluation and monitoring, Multimodal AI applications (documents, images, video, etc.)

Experience with LangGraph, LangChain, PydanticAI, CrewAI, or similar orchestration frameworks. Exposure to MLOps practices and AI deployment pipelines. Experience designing secure and compliant AI architectures. Prior experience in enterprise SaaS, fintech, logistics, healthcare, or operational intelligence platforms.

Communication & Collaboration: Strong stakeholder management skills with the ability to communicate technical concepts to both technical and non-technical audiences.

Engineering Excellence: Commitment to building reliable, maintainable, secure, and high-quality software while maintaining strong engineering standards.

Benefits

Competitive salary (compensation will be based on experience)

Medical insurance

Yearly reward based on performance

A solid team behind you: great people who love what they do

A fun culture which promotes learning and knowledge sharing

Opportunities for personal and professional growth offerings from our in-house Learning @ Aleph Academy, Flocket meetups, timely training for skills upgrade, workshops and conferences.

Get in touch

Please visit ************* or drop us an email at ************* Aleph is an equal opportunity employer and we work in an engaging, collaborative environment, where ideas are shared freely. By uncovering insights and opportunities, we inspire everyone to dream big towards the future solutions.