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Optimize Solutions is hiring a Full Stack AI Engineer to design, develop, and deploy AI-powered products end-to-end. In this role, you’ll combine your expertise in Node.js, Python, and modern web frameworks with advanced AI/LLM integration to create scalable, intelligent systems. You’ll work across the full stack — from backend APIs and AI pipelines to frontend interfaces and deployment — collaborating with product, design, and data teams to deliver safe, efficient, and user-centered AI applications. This is an exciting opportunity to shape next-generation AI experiences while applying your engineering and problem-solving skills in a production environment.
Key Responsibilities
Design, test, and refine prompts (zero-shot, few-shot, chain-of-thought, ReAct) across models like GPT-4/4o, Claude, Mistral, and Llama.
Implement function calling, structured outputs, and guardrails for safety, reliability, and cost efficiency.
Build production-grade RAG pipelines, handling chunking, retrieval orchestration, and embedding optimization.
Analyze LLM outputs for hallucinations, bias, factual accuracy, and alignment with business needs.
Develop polyglot services using Node.js (Fastify) and Python (FastAPI).
Implement OAuth2/JWT, rate limiting, retries/backoff, and real-time streaming (SSE/WebSockets).
Integrate vector databases (Pinecone, Weaviate, Qdrant) and relational/non-relational databases (PostgreSQL, MongoDB).
Use CI/CD, Docker, and cloud deployment tools (Azure or AWS) for production releases.
Instrument applications with logging, telemetry, and cost/latency monitoring.
Build user interfaces using Next.js (TypeScript, App Router) and React Server Components.
Deliver chat UIs, admin dashboards, evaluation tools, and prompt versioning systems with real-time updates.
Maintain a version-controlled prompt library with documentation and test coverage.
Run A/B experiments, structured evaluations, and regression testing for prompt performance.
Apply Responsible AI practices — mitigate misuse, prompt injection, and privacy risks.
Stay up-to-date on emerging AI/LLM trends and frameworks, sharing knowledge with the team.
What We’re Looking For
Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related field.
3+ years of professional full-stack development (production APIs & web apps).
2+ years of hands-on AI/LLM experience (prompt engineering, RAG, LLM APIs).
Languages & Frameworks: Advanced JavaScript/TypeScript, Node.js (Fastify/Express), Python (FastAPI)
APIs: REST, GraphQL, OAuth2/JWT, rate limiting, retries/backoff, and streaming via SSE/WebSockets.
Databases: PostgreSQL, MongoDB; ORM experience with Prisma and schema migrations.
AI/LLM Tools: OpenAI, Anthropic, Mistral, Llama; LangChain or LlamaIndex, PromptLayer, RAG design.
Vector Databases: Pinecone, Weaviate, Qdrant; embeddings, hybrid retrieval, and evaluation pipelines.
DevOps: Docker, Kubernetes, CI/CD, observability (metrics, tracing, cost telemetry).
Security: Data privacy compliance, prompt-injection defense, content safety measures.
Strong analytical and problem-solving mindset.
Excellent collaboration and communication in a remote setting.
Passion for innovation, continuous learning, and responsible AI practices
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