NodeJS (Node.js)
PostgreSQLAI 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 strong 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About MindBridge
About
At MindBridge, we partner with businesses to solve complex challenges and unlock new opportunities for growth through consulting, shared services, and AI-powered solutions. We combine deep industry expertise with technology to help organizations transform critical business functions across finance, compliance, HR, IT, legal, and ESG. By delivering scalable, future-ready solutions, we enable our clients across the USA, UK, Europe, and the Middle East to improve operational efficiency, strengthen governance, and achieve sustainable business outcomes.
What sets us apart is our people and our collaborative culture. We believe in working together, embracing innovation, and creating meaningful impact for our clients, our communities, and one another. At MindBridge, you'll have the opportunity to work on challenging projects, grow alongside talented professionals, and contribute to building solutions that shape the future of global businesses.
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