About Us

SpectraSeek powered by InterspectAI is a cutting-edge AI-powered interview preparation platform, built to help students and job seekers practice real-world, role-specific interviews with instant, personalized feedback. Backed by InterspectAI, our mission is to make every student career-ready and every institution AI-prepared.

The Role

We're looking for a blended Data Scientist + LLM Engineer to help shape the future of intelligent interviewing through multi-agent orchestration, prompt-driven systems, and workflow-optimized AI.

You’ll be at the core of our Spectra engine — fine-tuning prompts, building agent chains, and infusing LLM intelligence into dynamic interviews for hiring, coaching, and assessments.

Key Responsibilities

Design and implement multi-agent interview orchestration flows using tools like LangGraph, LangChain, AutoGen, or similar.
Own the prompt engineering lifecycle — design, iterate, test, evaluate.
Collaborate with product teams to align LLM behavior with real-world interview workflows, feedback loops, and rubric scoring.
Build and optimize embedding-based RAG pipelines (e.g., FAISS, Weaviate, Pinecone).
Build LLM evaluation tools for output consistency, reasoning traceability, and scoring metrics.
Develop test datasets and metrics to benchmark LLM agents (e.g., consistency, tone, hallucination).
Analyze candidate transcripts, interview sessions, and behavioral feedback to identify new features and areas of model improvement.

Required Skills

3–5 years in Data Science or NLP-focused Engineering roles

Strong Python experience in:

LangGraph, LangChain, LlamaIndex, or similar orchestration tools
OpenAI, Claude, Gemini, or open-source models (LLama2, Mistral, etc.)
Prompt templating, prompt routing, multi-step flows

Strong understanding of:

Vector stores and similarity search
Embedding models (OpenAI, HuggingFace, etc.)
Evaluation techniques (BLEU, ROUGE, custom LLM evaluation via GPT)

Familiar with:

RAG pipelines, structured memory, and retrieval tuning
Tools like Weights & Biases, MLFlow, or custom tracking

Bonus Points

Experience designing agent-based workflows (e.g., job interviewer agents, career coach agents, tutor agents).
Familiarity with LangGraph state management, guardrails, and async agent cycles.
Comfort working with graph-based execution plans or DAGs for reasoning flows.
Experience with Voice-based or real-time LLM interaction pipelines.
Prior work in HRTech, EdTech, or CareerTech is a plus.

Our Stack

Python, FastAPI, LangGraph, LangChain, OpenAI API
CockroachDB, Postgres, Redis, AWS (S3, Lambda, Step Functions)

Why Join Us

Build next-gen agentic AI that impacts hiring, education, and career coaching
Join a venture-backed startup with real traction and a bold mission
Collaborate with founders, AI scientists, and startup veterans
Competitive compensation, equity potential, and flexible location

Type: Full-Time | Contract-to-Hire | Founding Team Consideration
Team: Spectra AI Platform @ InterspectAI

Job Types: Full-time, Contract

Benefits:

Dental insurance
Flexible schedule
Health insurance
Paid time off

Work Location: Remote

InterspectAi Inc.

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