layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Junior AI Engineer | Full Stack Developer | Financial Services - Atlanta Only at BIP Capital | LAYIQ

We weigh engineering fundamentals and trajectory far more heavily than years of experience or a specific pedigree. This is a product engineering role: we want a full-stack engineer who is genuinely excited about building with large language models, someone who thinks naturally in terms of retrieval, embeddings, context windows, and tool use, and who wants to ship features real people use day to day.
Bachelor’s or Master’s in Computer Science, AI/ML, Engineering, or a related field.
Solid software engineering fundamentals in Node.js and TypeScript: REST APIs, async and promise-based concurrency, a testing framework such as Jest or Vitest, and everyday comfort in git. Our front end runs on AWS Amplify, so familiarity there is a plus. Python is a nice to have, especially for RAG and data-heavy work, but it is not our primary stack.
Exposure to cloud infrastructure, ideally AWS, including AWS's AI and LLM services such as Bedrock, Bedrock AgentCore, and Knowledge Bases for Bedrock.
Practical experience with LLM APIs (OpenAI, Anthropic, or similar): function calling and tool use, structured outputs, streaming responses, and managing token usage and context window limits.
Hands-on experience building something real with LLMs, ideally something you can point to: a project, prototype, or shipped feature you can walk us through, including what broke and how you fixed it.
Comfort designing LLM-in-the-loop evaluation and testing pipelines: building golden datasets, using LLM-as-judge scoring, and writing regression tests for prompts and retrieval, with tools such as promptfoo, Braintrust, or Ragas.
Comfort with AI native development practices: using tools like Claude Code or Cursor as part of your everyday workflow, not as a novelty.
An instinct to measure. When you change a prompt, a retrieval step, or a model, your first question is “how do I know this made it better,” whether the answer is an eval score, a latency number, or a cost-per-call tradeoff.
Coachability and initiative: you can take a loosely specified task and make visible progress without needing every detail spelled out.
Clear communication. Our users are non-technical investment and operations professionals.
Must be authorized to work in the U.S. without current or future employer sponsorship. We are unable to sponsor employment visas for this position, including candidates who would require sponsorship following F-1 OPT/CPT.
Bonus points
Working familiarity with RAG mechanics: chunking and embedding strategies, vector stores such as pgvector, Pinecone, or Weaviate, embedding model choice, hybrid search, and reranking.
Familiarity with an agent or RAG framework (LangChain.js, LlamaIndex, AWS Strands, or a current agent SDK), though we care more that you can learn one quickly than that you know today's flavor.
Experience shipping AI features inside a production full-stack application, not just a standalone prototype.
Awareness of data sensitivity: why investor, deal, and LP information cannot flow into arbitrary public models.
Exposure to the Model Context Protocol (MCP), whether that's building MCP servers and tools or connecting agents to them.
Success metrics
By 90 days: you're taking sprint tasks directly, running on a weekly 1:1 cadence with your Senior AI Engineer, and have shipped a medium-significance contribution to an active RAG or agentic workflow project.
By one year: you own an increasing share of the day-to-day work on at least one RAG or agentic workflow component, with your Senior AI Engineer retaining design and review oversight, and you're a regular, hands-on contributor to the eval and testing pipeline for the workflows you support.
How we work
You'll sit on a small, embedded technology team and apprentice closely to one Senior AI Engineer. We value people who ask good questions, ship working software, and can explain a complex idea simply. What you build gets used inside the firm, often within days

Junior AI Engineer | Full Stack Developer | Financial Services - Atlanta Only

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