Python Full Stack/AI Engineer

We are looking for a Senior AI/ML Engineer to design and build production-grade AI systems, with a strong focus on LLMs, RAG pipelines, and scalable ML infrastructure. This is a highly client-facing / hands-on engineering role focused on turning AI prototypes into reliable, scalable production systems used in real-world applications. Important Requirements (Must-Have) - Must be able to work in or overlap with EST (US Eastern Time) hours - Strong English communication skills (clear, structured, and responsive communication is essential) - Comfortable actively participating in technical discussions and explaining design decisions - Reliable availability and responsiveness during agreed working hours Compensation - Monthly budget: $3,000 – $5,000 USD - Long-term engagement potential based on performance - Contract-based, remote-friendly role What You’ll Work On - Designing and implementing RAG (Retrieval-Augmented Generation) pipelines - Integrating and optimizing LLMs (OpenAI, Claude, open-source models, etc.) - Building and maintaining vector search and embedding systems - Improving latency, cost efficiency, and response quality in production systems - Developing evaluation frameworks for retrieval accuracy, hallucination, and performance metrics - Deploying scalable AI services on AWS / GCP / Azure Required Skills & Experience - 5+ years of software engineering experience with strong AI/ML production exposure - Hands-on experience with LLMs and prompt engineering - Strong experience with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.) - Proven experience building RAG-based systems in production - Strong Python backend engineering skills - Experience with cloud platforms (AWS / GCP / Azure) - Understanding of ML evaluation metrics and trade-offs (precision/recall, latency, cost) Nice to Have - Experience with LangChain, LlamaIndex, or similar frameworks - Experience fine-tuning transformer models - Background in search, NLP, or recommendation systems - Experience with distributed systems or high-scale APIs - Experience in enterprise SaaS, healthcare, or finance AI systems What We’re Looking For We are looking for engineers who understand both AI models and real-world system constraints. The ideal candidate can balance accuracy, latency, and cost while building maintainable production systems. Strong communication and reliability are just as important as technical depth.