Junior AI Engineer, Financial Services

BIP Ventures

Junior AI Engineer building LLM-powered features, RAG systems, and agentic workflows. Supporting BIP Capital’s venture capital investment and operations platform.

Posted 8/7/2026full-timeAtlanta • 🇺🇸 United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals with expertise in Node.js and TypeScript, alongside practical experience in developing and evaluating LLM workflows and retrieval-augmented generation systems. Capable of translating complex operational needs into technical solutions while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Node.jsTypeScriptLLM APIsAWS AI ServicesRAG Systems

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Hard Skills

Software Engineering FundamentalsREST APIsAsync ProgrammingTesting FrameworksFunction CallingTool UseStructured OutputsStreaming ResponsesContext-Window ManagementEvaluation Metrics

Soft Skills

CoachabilityInitiativeClear Communication

Tools & Technologies

GitAWSPromptfooBraintrustRagasClaude CodeCursor

Industry Keywords

Retrieval-Augmented GenerationLLM WorkflowsAgentic WorkflowsGolden DatasetsLLM-as-Judge Scoring

Tech Stack

Tools & technologies

AWSCloudJavaScriptJestNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Add AI capabilities to existing full-stack applications, including LLM-powered features, workflows, and interfaces
Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer
Develop chunking and embedding strategies, retrieval-quality processes, and evaluations
Manage context windows and model inputs across text, documents, and images
Help design agentic workflows involving multi-step LLM pipelines, tool use, and orchestration
Prompt-engineer and evaluate LLM workflows
Write clean, testable services and data pipelines
Translate investment and operations workflow needs into concrete technical problems
Take sprint tasks directly within 90 days and contribute to active RAG or agentic workflow projects
Assume increasing ownership of a RAG or agentic workflow component and contribute to evaluation and testing pipelines within one year
Work closely with a Senior AI Engineer on a small embedded technology team

Requirements

What you’ll need

Strong software engineering fundamentals in Node.js and TypeScript
Experience with REST APIs, async and promise-based concurrency, and testing frameworks such as Jest or Vitest
Everyday comfort with Git
Exposure to cloud infrastructure, ideally AWS
Exposure to AWS AI and LLM services such as Bedrock, Bedrock AgentCore, and Knowledge Bases for Bedrock
Practical experience with LLM APIs such as OpenAI, Anthropic, or similar
Experience with function calling, tool use, structured outputs, streaming responses, token usage, and context-window limits
Hands-on experience building a real LLM project, prototype, or shipped feature
Experience designing LLM-in-the-loop evaluation and testing pipelines
Experience with golden datasets, LLM-as-judge scoring, and regression tests for prompts and retrieval
Familiarity with tools such as promptfoo, Braintrust, or Ragas
Comfort using AI-native development tools such as Claude Code or Cursor
Ability to measure prompt, retrieval, and model changes using evaluation scores, latency, or cost-per-call metrics
Coachability and initiative
Clear communication with non-technical investment and operations professionals
Bonus: familiarity with Python, AWS Amplify, RAG mechanics, vector stores, hybrid search, reranking, agent/RAG frameworks, production AI features, data sensitivity, or MCP

Benefits

Comp & perks

Impact: Build AI systems and autonomous workflows that directly influence investment decisions, portfolio growth, and firm efficiency
Innovation: Be on the leading edge of applying AI/LLMs to venture capital workflows
Collaboration: Work with a lean, entrepreneurial team of investors, technologists, and operators
Growth: Opportunity to expand into broader AI/ML roles as the firm scales its technology platform
Competitive salaries
Health and wellness plans
Retirement savings options
Paid time off
Professional development opportunities
Various employee well-being programs
Internal advancement opportunities
Equal-opportunity employment