Senior Engineer | Technology Lead – Enterprise AI Solutions

Eudemonic Technologies Private Limited; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Eudemonic Technologies Private Limited is seeking a Senior Engineer / Technology Lead to drive AI-first product architecture and scalable systems. You will mentor teams building intelligent, cloud-native enterprise platforms and CRM-like business applications.

You will design, build, and scale intelligent systems, champion observability and governance, and collaborate with customers to deliver production-ready solutions.

Qualifications

• 5+ years of hands-on software engineering experience.
• Strong production backend language: Python or C#/.NET
• Experience with LLM APIs in production (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock).
• Familiar with RAG / vector databases and embeddings.
• Experience with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
• Design of REST APIs, microservices, and cloud deployment (Azure preferred).
• CI/CD, DevOps, Git, containers, Kubernetes is a plus.

Responsibilities

• Define the technical vision for AI-first products.
• Lead architecture and engineering standards across teams.
• Mentor and grow senior engineers and developers.
• Review code and designs to ensure quality and maintainability.
• Collaborate with product teams and enterprise customers.
• Evaluate emerging AI technologies for business value.
• Balance innovation with security, governance, and scalability.

Skills

Python

C#/.NET

LLM APIs

RAG systems

Agent orchestration

REST & microservices

CI/CD

Kubernetes

Azure

Databases

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

MCP

Job description

We're looking for a Senior Engineer / Technology Lead who believes AI is transforming how enterprise software is built—not just by adding AI features, but by reimagining products from the ground up.

We're looking for an engineer who understands how to design, build, and scale intelligent systems—someone who combines strong software engineering fundamentals with practical AI expertise and can mentor teams developing the next generation of AI-first enterprise platforms, intelligent business applications, and modern cloud-native solutions.

What you'll build

• Enterprise knowledge platforms and RAG solutions
• Intelligent ERP and business applications
• Enterprise web and mobile applications
• AI Agents and multi-agent workflows
• Workflow automation and copilots

Role Requirements

Core (must have real, hands-on depth in most of this):

• 5+ years of hands-on software engineering experience
• A strong primary language for production backend work — Python or C#/.NET
• LLM APIs in production — OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock
• RAG / retrieval systems — vector databases (e.g. Azure AI Search, Pinecone, Qdrant, FAISS, Chroma), embeddings, chunking, hybrid search
• Agent orchestration frameworks — LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or MCP (Model Context Protocol)
• AI evaluation, observability, guardrails, security, and governance
• REST API design, microservices, and cloud deployment (Azure preferred; AWS or GCP fine)
• Strong database experience with SQL Server, PostgreSQL, MongoDB
• CI/CD, DevOps, Git, containerization and Kubernetes is an advantage
• .NET Core/C# and Microsoft Azure specifically — App Service, Functions, Service Bus, Azure AI Search, Semantic Kernel
• Durable / long-running workflow orchestration — Temporal, Azure Durable Functions, or equivalent
• Integration experience with ERP, CRM, or field-service management systems — SAP, Salesforce, Dynamics, ServiceM8, Simpro, or similar
• LLM evaluation and observability tooling — RAGAS, Langfuse, or a self-built eval harness
• Security/governance design — RBAC/ABAC, PII handling, authorisation enforced at the retrieval layer, not by the model
• Enterprise identity providers — Microsoft 365 / Entra ID, Okta, or Google Workspace — including federating user and group-membership data to drive access control across the platform
• Source connectors into enterprise content systems — SharePoint, OneDrive, Google Drive, Confluence, or similar — with a clear grasp of how document-level and folder-level permissions there need to carry through to retrieval
• Prior experience in a client-delivery or consulting environment, not just in-house product teams

As a Technology Lead, you'll

• Lead the technical vision for AI-first products
• Define architecture and engineering standards
• Mentor and grow high-performing engineering teams
• Drive engineering excellence through code reviews and design reviews
• Work closely with product teams and enterprise customers
• Evaluate emerging AI technologies and determine where they create real business value
• Balance innovation with scalability, security, governance, and maintainability
• Foster an AI-first engineering culture where developers effectively leverage AI throughout the software development lifecycle

THE BAR — WHAT WE ACTUALLY NEED

• You've shipped a RAG or agentic system to production and kept it alive — not a weekend LangChain demo, not a hackathon prototype. You've dealt with what happens when it's wrong, slow, or expensive at 2am.
• You think in evaluation sets and numbers. If you can't tell us your retrieval precision, your latency at P95, or your cost per interaction on something you've built, this isn't the role.
• You design for failure first. Refusal paths, confidence gates, and "I don't know" are things you build deliberately — not edge cases you patch later.
• You've built real integrations against real systems — APIs with auth, rate limits, pagination, and the schema drift that comes with production data — not just called an LLM API and called it done.
• You're comfortable being the most senior technical person in the room, with no team to hide behind and no fully-specified brief to follow.
• You write things down. Design notes, architecture decisions, trade-offs — because six months from now, someone (possibly you) needs to know why.

Why this Role

• Direct, ongoing architecture partnership with the founder — not layers of management between you and real decisions
• Real enterprise clients and real production stakes from day one, not a sandbox
• High ownership and direct impact on the product
• Fast learning and growth environment
• Collaborative work culture

Why Join Us

• Opportunity to be part of a core team shaping new products and platforms
• Exposure to both Technology services and Product development
• Direct mentorship from Leadership with decades of industry experience
• Long-term growth into Technical and Leadership roles
• Stable, professional work environment with a focus on quality and ownership