Role: Principal AI Engineer, Semantic Layer (R&D; Lead)

Type: Full-time · Core Platform Team

Location: Delhi NCR (immediate joiners preferred)

Experience: 5-7 years total · 2-3+ years in production AI/ML systems

Reports to: CTO

ABOUT SUTRA.AI

Sutra.AI is an AI transformation platform purpose-built for mid-market businesses, teams that want enterprise-grade AI outcomes without building a large AI organization. The platform orchestrates end-to-end:

data → opportunities → projects → production apps/APIs, with value tracking built in.

We've been building for 3+ years, launched out of stealth recently, and already have dozens of customers with millions of dollars in measurable ROI. We're in scale-up mode - shipping quick, standardizing platform engineering patterns that compound across every customer and product line.

ABOUT THE ROLE

We're hiring a Principal AI Engineer (R&D; Lead) to own the execution of our AI systems end-to-end.

This is the execution backbone of our AI platform. You'll architect and ship production systems, set engineering standards, and work directly with founders on high-priority initiatives. You'll turn ambiguous problems into scalable solutions, independently, with minimal oversight.

This is not a research role. Not a coordination role. This is a builder + owner role.

The systems you build will be used by the entire team. The patterns you establish will be replicated across the organization. High-leverage by design.

WHAT YOU'LL DO

- Design and implement production AI systems: RAG pipelines, agent frameworks, LLM orchestration,

evaluation harnesses
- Own the full lifecycle: problem scoping → prototyping → production deployment → monitoring and iteration
- Build scalable backend systems in Python - APIs, async workflows, data pipelines
- Establish engineering standards and best practices across the AI platform
- Lead execution across junior engineers: code reviews,



unblocking, technical guidance
- Set up evaluation frameworks to measure accuracy, latency, cost, and reliability
- Debug complex issues across layers: data quality, model behavior, infrastructure, system design
- Collaborate cross-functionally with product, founders, and customers on roadmap and technical decisions

REQUIREMENTS

Must-Haves

- B.Tech (CS) Degree from IIT
- 5-7 years total software engineering experience
- 2-3+ years building production AI/ML systems (not just research or experiments)
- Strong backend engineering skills: Python, APIs, async systems, distributed architectures
- Proven track record of end-to-end ownership - shipped systems independently from idea to production
- LLM systems: RAG, prompting, agents, evaluation, embeddings, retrieval
- LLM orchestration: LangChain, LangGraph, LlamaIndex, or equivalent
- Cloud AI platforms: AWS Bedrock, Vertex AI, Azure OpenAI, or equivalent
- Vector databases and retrieval systems: Pinecone, Weaviate, Qdrant, or similar
- Data pipelines: ETL, batch/stream processing
- System design and scalability thinking - build for production, not local prototypes
- Strong analytical and debugging skills: root cause analysis, not quick fixes
- Team-oriented mindset: mentor others, prioritize company impact, low ego

Preferred

- Experience from high-ownership environments: startups or fast-moving product companies
- LLM fine-tuning or training experience
- Familiarity with data platforms: Trino, Spark, Airflow, dbt
- Open-source contributions or published technical writing

WHY JOIN US

- High ownership: own systems end-to-end without constant oversight
- High leverage: everything you build gets reused; every pattern you set gets replicated
- Core team: direct impact on company direction and technical decisions
- Hard problems: build production AI systems at scale, not demos
- Early stage: shape the engineering culture, tech stack, and product direction

📌 Principal AI Engineer, Semantic Layer (R&D Lead) (Delhi)
🏢 Sutra.AI
📍 Delhi