Analyst or Associate, AI & Platform Engineering

Summary:

Aker is seeking an Analyst or Associate to join its AI & Platform Engineering team to design, build, and operate production-grade AI systems. This role focuses on large language models (LLMs), agentic systems, and data platforms that power intelligent decision-making and automation across the firm.

This position is suited for individuals who want to build and own real systems end-to-end — from raw data ingestion and transformation to retrieval systems, orchestration layers, and intelligent agents operating reliably at scale. Team members work on live, production-facing initiatives that directly impact firm operations, rather than isolated research or demo projects.

Responsibilities

LLM & Agentic Systems

• Design, build, and enhance LLM-powered platforms, including RAG pipelines, tool-using agents, and structured output systems.
• Develop agentic workflows that plan, reason, and execute tasks across internal tools and data sources.
• Contribute to evaluation, monitoring, and continuous improvement of AI system performance.

Data & Retrieval Infrastructure

• Design and maintain scalable data pipelines for ingestion, transformation, indexing, and retrieval of structured and unstructured data.
• Work with vector databases, embeddings, and retrieval strategies to optimize relevance, accuracy, and latency.
• Improve data quality, schema design, and governance practices supporting AI workflows.

Platforms & Integrations

• Evaluate and integrate LLM frameworks, orchestration tools, and model providers.
• Build backend services, APIs, and platform components that support AI workflows and internal tooling.
• Contribute to architectural decisions around scalability, reliability, and security.

Ownership & Documentation

• Own discrete systems or components end-to-end, from design through deployment and iteration.
• Document system architecture, experiments, and operational behavior to support maintainability and long-term scalability.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Math, Physics, or a related technical field.
• 1–5 years of professional experience in software engineering, data engineering, or AI/ML systems (Analyst: ~1–3 years; Associate: ~3–5 years).
• Strong proficiency in Python and JavaScript, with a solid foundation in data structures, algorithms, and core software engineering principles.
• Experience building and shipping production systems or internal tools.
• Experience working with data programmatically, including querying and transforming datasets using SQL and Python, with familiarity working with MySQL databases.
• Strong intellectual curiosity about how LLMs and modern AI systems function in practice.

Preferred Qualifications (Nice to Have)

• Hands-on experience with LLMs, retrieval-augmented generation (RAG), embeddings, or vector databases (e.g., OpenAI, Anthropic, ChromaDB, Pinecone).
• Experience with agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, Pydantic, or custom agent loops).
• Familiarity with data engineering tools, cloud infrastructure, and Linux environments (e.g., Airflow, dbt, Spark, Ubuntu).
• Exposure to MLOps practices, evaluation frameworks, observability tooling, or AI system reliability engineering.

Company

Aker originates, invests in, and operates businesses across the real estate ecosystem, compounding capital through a disciplined, system-led operating platform. Aker assembles high-performing teams and invests in exceptional individuals who are passionate about creating value through operations for customers and the broader community.