Job Description

Senior Software Engineer (AI + Full Stack)

About the Role

We are looking for a Senior Software Engineer who has strong hands-on experience in building scalable software systems and has worked with AI/LLMs, vector databases, model integrations, or applied machine learning. You will work closely with product, engineering, and AI researchers to design, build, and deliver intelligent features across our platform.

This role is ideal for someone who is strong in software fundamentals but also curious and comfortable applying AI in real product environments.

Key Responsibilities

Core Engineering

Design, develop, and maintain high-quality, scalable, and secure backend or full-stack applications

Write clean, modular, testable code and lead code reviews

Architect microservices, event-driven systems, APIs, and integrations

Optimize system performance, reliability, and observability

AI/LLM Work

Integrate LLMs (OpenAI, Anthropic, open-source models) into production workflows

Build and maintain RAG pipelines, embeddings, and vector database queries

Fine-tune existing models or work with prompt engineering to improve quality

Implement evaluation frameworks for AI features (latency, cost, accuracy, drift)

Collaborate with data scientists/AI engineers on experimentation and deployment

Leadership & Collaboration

Lead end-to-end feature development

Mentor junior engineers and contribute to engineering best practices

Work closely with product & design teams to translate business needs into technical solutions

Participate in system design and architectural discussions

Required Skills & Experience

4-8+ years of professional software development experience

Strong expertise in at least one backend language (Python, Node.js, Java, Go, .NET)

Experience with cloud infrastructure (AWS/GCP/Azure) and CI/CD pipelines

Solid understanding of databases (SQL + NoSQL) and distributed systems

Practical experience integrating AI in production (any of the following):

RAG pipelines

Fine-tuning or model customization

Prompt engineering & LLMOps

Vector DBs (Pinecone, Weaviate, Chroma, Elasticsearch, Qdrant)

Model evaluation, guardrails, observability

Strong problem-solving and system design skills

Ability to work in a fast-paced startup environment

Good to Have

Experience with LangChain, LlamaIndex, OpenAI Assistants API, or custom agent frameworks

Experience with LangFuse, LiteLLM, or other LLM observability/cost optimization tools

Understanding of DevOps, Docker, Kubernetes

Frontend experience (React/Next.js)

Experience building multi-agent systems or workflow orchestration

Prior experience in an AI/ML product company

What We Offer

Opportunity to work on cutting-edge AI products

Ownership, autonomy, and room to experiment

Fast-paced and collaborative culture

Competitive salary + performance-based bonuses

Work that directly impacts customers and business outcomes

Job Types: Full-time, Permanent

Pay: ?900,000.00 - ?1,200,000.00 per year

Work Location: In person