Remote (India) | Full-Time | 5+ Years Experience
Benefits & Perks
- Fully Remote
- Competitive Compensation
- Paid Time Off
- Flexible Working Hours
- Work with Global Engineering Teams
- Career Growth in a High-Impact Product Company
- Exposure to Cutting-Edge AI Technologies
About the Role
This isn't a research-focused AI role.
You'll be building AI capabilities that ship to production and are used by real customers.
You'll collaborate closely with Product Managers, Backend Engineers, and Engineering Leadership to design, develop, deploy, and continuously improve AI-powered features that solve real business problems.
If you enjoy taking AI products from idea to production, this role is for you.
Key Responsibilities
- Design, build, and deploy production-grade AI applications.
- Build end-to-end AI pipelines from data ingestion to model inference.
- Develop AI-powered features using large language models (LLMs).
- Build Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.
- Design AI agents using frameworks such as LangChain, LangGraph, or LlamaIndex.
- Integrate AI capabilities into scalable backend services and REST APIs.
- Optimise AI systems for latency, scalability, reliability, and infrastructure cost.
- Work with Vector Databases such as Pinecone, Weaviate,or Similar tools .
- Collaborate with cross-functional engineering teams throughout the product lifecycle.
- Monitor production models, identify performance issues, and continuously improve model quality.
- Troubleshoot production AI failures and edge cases.
- Stay updated with the latest advancements in AI, machine learning, and emerging technologies.
Required Skills & Qualifications
- 5+ years of Software Engineering or AI/ML experience.
- Strong Python programming skills.
- Experience building and deploying AI applications in production.
- Hands-on experience with LLMs, RAG, LangChain, LangGraph, or LlamaIndex.
- Experience with Vector Databases (Pinecone, Weaviate, Chroma, etc.).
- Experience building REST APIs (FastAPI preferred).
- Familiarity with Docker, Git, and AWS, Azure, or GCP.
Preferred Qualifications
- Experience developing AI agents and multi-agent systems.
- Knowledge of MLOps tools and deployment practices.
- Experience with Docker, Kubernetes, and containerised environments.
- Exposure to fine-tuning open-source models.
- Understanding of NLP, embeddings, and semantic search concepts.
How to Apply
If you're passionate about building production-grade AI systems and want to work with a fast-growing US product company, we'd love to hear from you.
Apply through indeed or send your updated resume to [email protected]
Only shortlisted candidates will be contacted.
About The Client
Our client is a seed-funded, AI-first FinTech startup headquartered in Austin, Texas, building intelligent wealth management products powered by AI for modern investors.
Their platform combines real-time market data, portfolio analytics, and Large Language Models (LLMs) to help people make smarter investment decisions. The AI provides personalised investment insights, explains complex financial concepts in simple language, analyses portfolios, and supports financial research.
The product is designed for retail investors, working professionals, first-time investors, and financial advisors who want faster, AI-powered insights to manage investments more effectively.
About Aura
Aura Recruitment Solutions partners with venture-backed startups and high-growth technology companies across the US, Europe, Australia, and the Middle East to help them build world-class remote engineering teams. We specialize in hiring AI, Software, Cloud, Data, and DevOps professionals who become integral members of our clients' product organizations.
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Benefits:
- Paid sick time
- Paid time off
Application Question(s):
- What is your current salary?
- What is your expected salary ?
- What is Notice Period ?
Experience:
- AI Development: 5 years (Required)
Work Location: Remote
