--- title: 'Senior AI Engineer at Turgon AI' canonical: 'https://feeny.ai/job/senior-ai-engineer-turgon-ai-delhi-tk4wrmc6pg6w' type: 'job' last_seen: '2026-09-08' --- # Senior AI Engineer at Turgon AI - **Company:** Turgon AI - **Location:** Delhi, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-09 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/turgon-ai/3219f081-500a-4a63-b60a-db8c4f540c0b ## Job description ## About Us At Turgon, we believe there is a massive opportunity to reimagine how IT services are delivered by leveraging a combination of AI agents and humans to build, integrate, and run the enterprise stack. AI agents that understand your existing infrastructure, processes, and data and can rapidly add new business logic, generate new integrations on the fly, and root cause issues instantly. That’s a $1.5T opportunity! We are a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. We are building out our core team to re-imagine and build an “AI-Native Accenture.” If you are compelled by this vision, let’s chat! ## About the Role We are looking for a Senior AI Engineer to take ownership of our most complex agentic workflows. In this role, you will bridge the gap between "cool demo" and "enterprise-grade reliability." You won’t just be prompting models; you will be architecting the orchestration layer that governs them. You will be responsible for the end-to-end lifecycle of our agents—from system design and prompt engineering to latency optimization, cost management, and rigorous evaluation frameworks. You will also mentor younger engineers and help define our AI engineering best practices. ## Responsibilities - Lead the architectural design of complex, multi-agent systems using LangGraph/LangChain that can handle long-running, asynchronous enterprise tasks. - Own the "Evals": Design and build automated evaluation pipelines to measure agent accuracy, hallucination rates, and success metrics before deploying to production. - Production Hardening: Optimize RAG pipelines for scale—tuning chunking strategies, retrieval algorithms, and vector search parameters for maximum relevance and speed. - Cost & Latency Engineering: Make critical decisions on when to use massive foundation models (GPT-4) vs. smaller, specialized models to balance performance with unit economics. - Collaborate with the Product Team to translate ambiguous business requirements ("Fix the ERP data") into concrete agentic behaviors and tool definitions. - Mentor junior AI engineers, conducting code reviews and helping them level up their understanding of LLM application architecture. ## Requirements - 5+ years of total engineering experience, with significant recent focus on Applied AI / LLMs. - Expert-level Python skills; you write clean, modular, and testable code. - Deep production experience with LLM orchestration (LangChain, LangGraph, etc.) – you know where these frameworks break and how to fix them. - Strong understanding of the modern Data Stack (SQL, Snowflake, Vector DBs); you know that good AI requires good data. - Experience in MLOps or LLMOps (tracing, monitoring, and versioning prompts/chains). - A pragmatic mindset: You know when to use a simple heuristic and when to deploy a complex agent. Nice-to-Have Skills - Experience fine-tuning open-source models (Llama, Mistral) for specific domain tasks. - Background in traditional NLP or Machine Learning prior to the Generative AI boom. - Experience with Kubeflow, Ray, or other distributed ML computing frameworks. - Previous experience in a Founding Engineer or early-stage startup role. Education & Certification - We don’t actually care about qualifications as long as you are a rockstar engineer who wants to keep learning and make a massive impact. ## What We Offer - A values-aligned culture: always learning mindset, collaborative environment, and an entrepreneurial approach to getting things done. - Competitive, flexible salary based on experience. - Equity via ESOPs. - Leadership role shaping AI/LLM services at enterprise scale. - Collaborative, high-energy startup culture in South Delhi and San Francisco. - Access to top AI researchers worldwide to drive innovation and continuous learning. - Flexible work-from-home days balanced with on-site collaboration. ## About Turgon AI ## Company Overview - **One-liner**: Turgon AI is the world's first AI-native system integrator that deploys swarms of specialized AI agents alongside human engineers to modernize legacy IT and data infrastructure for enterprises. - **Entity Type**: Private (Startup, Seed stage) - **Headquarters**: San Francisco, California, United States (with a secondary office in New Delhi, India) - **Founded**: 2024 - **Founders**: Ankur Varma (CEO), Nikhil Sama, Rudra Dalmia ## Core Business - **Primary industry/industries**: IT Services & Consulting, Enterprise Software, AI Infrastructure, Data Modernization - **Target customers**: Large enterprises (B2B) with legacy data systems, including those in finance, fintech, e-commerce, and traditional industries needing cloud migration and data unification. - **Mission or purpose statement**: To rewrite the data modernization playbook by using AI agents and human experts in tandem, delivering 5x faster delivery and 40% cost savings on data migration, system integration, data governance, and unification projects [linkedin.com](https://linkedin.com/company/turgon-ai). ## Products & Services - **Turgon Platform (The "Pod")**: A modular unit combining specialized AI agents (handling 80% of execution) and Forward Deployed Engineers (FDEs) for oversight. Capabilities include: - **Ontology Builder**: Autonomously scans call logs, transcripts, documents, schemas, and data flows to construct a complete architecture map without manual discovery. - **Pipeline Builder**: Automates code migration, schema mapping, and testing. - **Governance Layer**: Manages data lineage and compliance. - **Outcome**: Legacy system migration, cloud-native deployment, and analytics-ready platforms delivered in weeks, not years [turgon.ai](https://www.turgon.ai/platform). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private startup). - **Key Metric**: 30 total employees; 18-50 employees reported on LinkedIn; rapid hiring in SF and Delhi. - **Notable Investors/Partners**: Founders are experienced (2x founders, ex-Bain, ex-PE investors, ex-Silicon Valley engineers). No external funding rounds publicly disclosed yet. - **Growth Signals**: Reported 5x faster delivery and 40% cost savings for clients. Active job postings for senior technical roles (Founding Engineer, Lead Engineer, Senior AI Engineer) and GTM roles (Founding Account Executive) indicating strong product-market fit and scaling phase. LinkedIn following of ~3,400 with 3% monthly growth. ## Competitive Advantages - **AI-Native Delivery Model**: Unlike traditional system integrators (Accenture, Deloitte) that rely on large teams of consultants, Turgon uses a "Pod" model where AI agents handle 80% of execution, drastically reducing cost and delivery time. - **Speed & Transparency**: Claims 5x faster delivery with full traceability of AI processes, avoiding the "black box" problem of typical AI deployments. - **Founder-Market Fit**: Leadership combines deep AI/engineering expertise (Nikhil Sama) with sales scaling experience (Rudra Dalmia) and venture-building (Ankur Varma), a rare mix in the integrator space. ## Strategic Focus - **Current priorities**: Scaling engineering and sales teams (hiring Founding Account Executives, Lead Engineers, and Generative AI Engineers). Expanding presence in both San Francisco and Delhi to build a global delivery model. - **Direction for growth**: Becoming the default AI-native integration partner for Fortune 500 companies migrating off legacy systems. Developing deeper agentic architectures to automate more of the modernization lifecycle. ## Why Work Here - **Culture highlights**: Described as "structured chaos, audacious goals, and shipping fast" by the leadership team [turgon.ai](https://www.turgon.ai/about). Serial entrepreneurs at the helm. Emphasis on "outcomes, not hours." - **Remote/hybrid/office policy**: Hybrid. San Francisco office (in-office or remote for some roles) and Delhi office (on-site). Forward Deployed Engineer roles are remote [jobs.lever.co](https://jobs.lever.co/turgon-ai). - **Notable perks or engineering culture**: Opportunity to work as a "Founding Engineer" or "Forward Deployed Engineer" on cutting-edge AI agent systems. Hands-on work with a modern tech stack: TensorFlow, PyTorch, MLflow, OpenAI, Snowflake, Python, TypeScript. Direct access to founders. Fast-paced, high-ownership environment typical of early-stage startups. ## Sources 1. [LinkedIn Company Page](https://linkedin.com/company/turgon-ai) 2. [Turgon AI Careers Page (Lever)](https://jobs.lever.co/turgon-ai) 3. [Turgon AI About Page](https://www.turgon.ai/about) 4. [Turgon AI Platform Page](https://www.turgon.ai/platform) 5. [Built In Company Profile](https://builtin.com/company/turgon-ai) ## Other roles at Turgon AI - [Delivery Manager](https://feeny.ai/job/delivery-manager-turgon-ai-san-francisco-xa5qw9nb4sf8) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-turgon-ai-san-francisco-x5tgd9wsszad) — San Francisco, CA - [Generative AI Engineer](https://feeny.ai/job/generative-ai-engineer-turgon-ai-delhi-7y01db5n3qa6) — Delhi, India - [Data Engineer](https://feeny.ai/job/data-engineer-turgon-ai-delhi-rqbs62tq5vgf) — Delhi, India - [Product Manager – AI Agent Platform (Technical PM)](https://feeny.ai/job/product-manager-ai-agent-platform-technical-pm-turgon-ai-delhi-f2jzh9gg900z) — Delhi, India - [Lead Engineer / Founding Engineer](https://feeny.ai/job/lead-engineer-founding-engineer-turgon-ai-delhi-7y86ep9ngnyp) — Delhi, India - [Founding Account Executive](https://feeny.ai/job/founding-account-executive-turgon-ai-san-francisco-ff0rs7mh0gt9) — San Francisco, CA - [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-vendelux-new-york-1516168c6ctn) — New York, NY - [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-oddin-europe-q662djzswde7) — Europe - [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-glintt-global-madrid-qjbynz65fx92) — Madrid, Spain