Optimize AI Interview Platform (Gemini API)
Budget: ₹1,500 – ₹12,500 INR
Fix AI Interview System (Gemini API + TypeScript) | LLM Optimization & Backend Stability
**Project Description**
We are building an AI-powered interview platform that conducts structured interviews, evaluates candidate responses, and provides scoring using the Gemini API.
Currently, we are facing multiple issues with AI response quality, consistency, and system reliability, and we are looking for an experienced LLM / Generative AI Engineer to fix and optimize the system.
**Current Problems**
Inconsistent AI responses during interviews
Poor structured output (JSON breaking / invalid formats)
Weak evaluation logic (incorrect scoring / feedback)
Prompt instability across sessions
Latency issues and delayed responses
Occasional irrelevant or hallucinated answers
Difficulty maintaining context in multi-step interviews
**Scope of Work**
The freelancer will:
1. Prompt Engineering & AI Optimization
Improve prompts for consistent, accurate responses
Design structured output formats (strict JSON responses)
Reduce hallucinations and irrelevant outputs
Implement prompt chaining / system prompts
2. AI Evaluation System Improvement
Fix scoring logic for candidate answers
Improve evaluation consistency
Ensure reliable feedback generation
3. Gemini API Integration Fixes
Debug and optimize Gemini API usage
Handle rate limits, retries, and failures
Improve response time and streaming (if applicable)
4. Backend Stability (TypeScript / Node.js)
Fix API orchestration issues
Improve session/context handling
Ensure smooth multi-step interview flow
5. Guardrails & Validation
Enforce structured outputs (JSON schema validation)
Add fallback and retry mechanisms
Improve overall system reliability
Tech Stack
TypeScript / Node.js
Gemini API (Google AI)
REST APIs / possibly WebSockets
JSON-based evaluation system
*Requirements (MUST HAVE)
Strong experience with LLMs (Gemini / OpenAI / Claude)
Proven work in AI-based applications (chatbots, evaluation systems, etc.)
Expertise in prompt engineering & structured outputs
Experience with Node.js / TypeScript backend systems
Understanding of AI limitations, hallucinations, and guardrails
Nice to Have
Experience building AI interview / assessment platforms
Knowledge of RAG, embeddings, or evaluation frameworks
Experience with real-time systems
Deliverables
Stable and consistent AI interview responses
Structured and valid JSON outputs
Improved evaluation accuracy
Reduced latency and failures
Clean, maintainable code improvements
Project Type
Short-term (initial fix: 1–2 weeks)
Possibility of long-term collaboration
To Apply, Answer This
(Important — this filters bad freelancers)
Have you worked with Gemini or other LLM APIs? Explain briefly
How do you ensure structured JSON output from LLMs?
How do you reduce hallucinations in AI responses?
Share a similar project you’ve worked on
**Project Description**
We are building an AI-powered interview platform that conducts structured interviews, evaluates candidate responses, and provides scoring using the Gemini API.
Currently, we are facing multiple issues with AI response quality, consistency, and system reliability, and we are looking for an experienced LLM / Generative AI Engineer to fix and optimize the system.
**Current Problems**
Inconsistent AI responses during interviews
Poor structured output (JSON breaking / invalid formats)
Weak evaluation logic (incorrect scoring / feedback)
Prompt instability across sessions
Latency issues and delayed responses
Occasional irrelevant or hallucinated answers
Difficulty maintaining context in multi-step interviews
**Scope of Work**
The freelancer will:
1. Prompt Engineering & AI Optimization
Improve prompts for consistent, accurate responses
Design structured output formats (strict JSON responses)
Reduce hallucinations and irrelevant outputs
Implement prompt chaining / system prompts
2. AI Evaluation System Improvement
Fix scoring logic for candidate answers
Improve evaluation consistency
Ensure reliable feedback generation
3. Gemini API Integration Fixes
Debug and optimize Gemini API usage
Handle rate limits, retries, and failures
Improve response time and streaming (if applicable)
4. Backend Stability (TypeScript / Node.js)
Fix API orchestration issues
Improve session/context handling
Ensure smooth multi-step interview flow
5. Guardrails & Validation
Enforce structured outputs (JSON schema validation)
Add fallback and retry mechanisms
Improve overall system reliability
Tech Stack
TypeScript / Node.js
Gemini API (Google AI)
REST APIs / possibly WebSockets
JSON-based evaluation system
*Requirements (MUST HAVE)
Strong experience with LLMs (Gemini / OpenAI / Claude)
Proven work in AI-based applications (chatbots, evaluation systems, etc.)
Expertise in prompt engineering & structured outputs
Experience with Node.js / TypeScript backend systems
Understanding of AI limitations, hallucinations, and guardrails
Nice to Have
Experience building AI interview / assessment platforms
Knowledge of RAG, embeddings, or evaluation frameworks
Experience with real-time systems
Deliverables
Stable and consistent AI interview responses
Structured and valid JSON outputs
Improved evaluation accuracy
Reduced latency and failures
Clean, maintainable code improvements
Project Type
Short-term (initial fix: 1–2 weeks)
Possibility of long-term collaboration
To Apply, Answer This
(Important — this filters bad freelancers)
Have you worked with Gemini or other LLM APIs? Explain briefly
How do you ensure structured JSON output from LLMs?
How do you reduce hallucinations in AI responses?
Share a similar project you’ve worked on