Senior AI/ML Software Engineer

Summary

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 Fluent 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: $2,000 – $4,000 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.