Sr Software Engineer - AI

Apollo Solutions; Boston (MA); On-site; USD 150,000 - 230,000; Full time

Job summary

Apollo Solutions is seeking a software engineer to design and deploy LLM-driven AI systems within a leading quantitative investment firm. This greenfield role lets you shape architecture and tooling from the ground up, applying state-of-the-art GenAI to research, trading, and operations.

You will work with world-class peers to build RAG pipelines, embeddings, and vector DBs, integrate AI safely at scale, and identify high-impact use cases across product, data, and compliance.

Qualifications

• Strong background in Python and software engineering (APIs, microservices, distributed systems).
• Hands-on experience with LLMs / Generative AI, embeddings, or RAG implementations.
• Familiarity with vector databases (Pinecone, FAISS, Qdrant, Weaviate).
• Cloud and DevOps skills - AWS, Docker, Kubernetes, Terraform.

Responsibilities

• Design and deploy LLM-driven and agentic AI systems that automate data analysis, insights, and workflows.
• Build the underlying RAG pipelines, vector databases, and APIs connecting internal data to AI models.
• Integrate AI safely and at scale - balancing innovation with reliability and governance.
• Collaborate with product, data, and compliance teams to identify and implement the highest-impact AI use cases.
• Stay ahead of the curve - evaluate new GenAI and orchestration frameworks and shape the roadmap.

Skills

Python

LLMs / Generative AI

APIs

Distributed systems

Vector databases

Tools

Docker

Kubernetes

Terraform

AWS

Job description

Help build the next generation of AI inside one of the world's leading quantitative investment firms.

This is a greenfield build - you'll be the engineer designing how AI is done here. You'll work with a world-class technical team to turn generative and agentic AI from concept into production systems that power research, trading, and operations.

What You'll Do

• Design and deploy LLM-driven and agentic AI systems that automate data analysis, insights, and workflows.
• Build the underlying RAG pipelines, vector databases, and APIs connecting internal data to AI models.
• Integrate AI safely and at scale - balancing innovation with reliability and governance.
• Collaborate with product, data, and compliance teams to identify and implement the highest-impact AI use cases.
• Stay ahead of the curve - evaluate new GenAI and orchestration frameworks (LangGraph, AutoGen, LlamaIndex, etc.) and shape the roadmap.

What's In It For You

• Greenfield Ownership - Define architecture, choose tooling, and set standards from the ground up.
• Cutting-Edge Tech - Work hands-on with LLMs, RAG pipelines, and emerging agentic frameworks inside a financial environment where data actually matters.
• Real-World Impact - Your systems will directly influence decision-making and automation across a multi-billion-dollar business.
• Elite Peers - Join a small, highly technical team where deep engineering meets applied finance.

What You Bring

• Strong background in Python and software engineering (APIs, microservices, distributed systems).
• Hands-on experience with LLMs / Generative AI, embeddings, or RAG implementations.
• Familiarity with vector databases (Pinecone, FAISS, Qdrant, Weaviate).
• Cloud and DevOps skills - AWS, Docker, Kubernetes, Terraform.
• Curiosity, pragmatism, and the ability to move fast in a high-trust, high-impact environment.