AI Engineer

Location: Bangalore

Work Mode: On-site

Experience: 2–4 Years

Compensation: as per market standard

About CareerPassport

CP is an early-stage company focused on building impactful products. The organization prioritizes rapid development and end-to-end ownership of technical challenges.

About the Role

We are looking for an AI Engineer who has experience building and shipping real-world AI products—not prototypes or notebook experiments.

You will own AI systems end-to-end, from LLM integration and prompt engineering to structured outputs, retrieval, async processing, evaluation, and observability.

The ideal candidate is a robust TypeScript backend engineer who has hands-on experience working with LLM providers such as OpenAI, Anthropic, or similar platforms and understands what it takes to make AI systems reliable in production.

You should think like a product engineer: take ownership, ship quickly, monitor what breaks, debug non-deterministic behavior, and continuously improve system quality.

What You'll Do

- Design and build production-grade LLM-powered features and pipelines using TypeScript.
- Integrate and work with LLM providers such as OpenAI, Anthropic, or similar APIs.
- Design, test, and optimize prompts and structured LLM outputs.
- Implement robust schema validation and enforcement for AI-generated responses.
- Build and optimize retrieval and vector search pipelines.
- Work with PostgreSQL and optimize database/vector search performance.
- Design async AI workflows and background jobs for reliable LLM processing.
- Implement fallback strategies and routing across different LLM models/providers.
- Build evaluation frameworks to measure and improve AI quality at scale.
- Set up and maintain AI observability, including monitoring, tracing, logs, and failure analysis.
- Debug non-deterministic LLM behavior in production and identify root causes.
- Work closely with product and engineering teams to turn AI capabilities into reliable user-facing features.




- Take end-to-end ownership of the systems you build—from architecture and implementation to deployment, monitoring, and iteration.

Must Have

- 2–4 years of software engineering experience, with meaningful production ownership.
- Strong TypeScript / Node.js backend development experience.
- Hands-on experience integrating LLM APIs such as OpenAI, Anthropic, Gemini, or similar.
- Strong understanding of prompt engineering and production LLM workflows.
- Experience with structured outputs, JSON schemas, validation, and schema enforcement.
- Strong working knowledge of PostgreSQL.
- Experience with vector databases or PostgreSQL-based vector search.
- Experience building async/background processing systems.
- Understanding of LLM evaluation and production observability.
- Ability to debug and improve AI systems where outputs are probabilistic and non-deterministic.
- Strong product engineering mindset with a focus on shipping, reliability, and quality.

Good to Have

- Experience with Langfuse or similar LLM observability/evaluation platforms.
- Experience with Inngest or similar async job/workflow platforms.
- Experience implementing LLM fallback routing and multi-model strategies.
- Experience building AI products in SaaS, Recruiting Tech, HR Tech, or AI/ML platforms.
- Experience optimizing retrieval pipelines and vector search.
- Experience working in an early-stage startup environment.

Who We're Looking For

You're likely a strong fit if:

- You've shipped AI features used by real users.
- You can explain how your LLM pipeline works from input → retrieval → inference → structured output → validation → storage → monitoring.
- You've dealt with LLM failures, hallucinations, malformed outputs, latency, cost, and model inconsistencies in production.
- You understand that an AI feature isn't finished when the model returns an answer—it needs evaluation, monitoring, fallbacks, and continuous improvement.
- You are comfortable owning a feature or system from architecture to production.

Skills:- NodeJS (Node.js), TypeScript, Large Language Models (LLM), OpenAI API, Google Gemini API, Anthropic Claude, JSON and PostgreSQL

📌 AI Engineer (Bengaluru)
🏢 MindBridge
📍 Bengaluru