Senior Technical Lead
Technology, Data & Digital · Software & Web Development · Full Stack · Software Engineering · DevOps
In short
We are seeking a Senior Technical Lead with 5+ years of experience to design, develop, and scale full-stack applications for an Agentic AI platform. This role involves frontend, backend, and middleware development, focusing on integrating generative AI models and multi-agent architectures.
Responsibilities
- Build responsive web interfaces and dashboards using React, Next, Express, TypeScript, and modern CSS frameworks.
- Develop scalable backend services and APIs using Python, Node.js, or Go, managing SQL, NoSQL, and Vector databases.
- Design and implement middleware to orchestrate multi-agent workflows and build API gateways.
- Implement and maintain AI agent logic using frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
- Implement CI/CD pipelines and establish observability for services and agent performance.
- Collaborate with AI engineers, data scientists, product managers, and UI/UX designers.
Requirements
- 5+ years of software engineering experience building scalable, full-stack products.
- Proficiency in modern JavaScript (ES6+)/TypeScript, React.js, and state management.
- Strong experience in Python, Node.js, or similar languages.
- Deep understanding of API development (REST/GraphQL), distributed systems concepts, and API gateway patterns.
- Experience with PostgreSQL, MongoDB, or similar, plus familiarity with Vector Databases (e.g., Pinecone, FAISS).
- Proven experience building or deploying LLM-based applications (RAG, prompt engineering, tool integration).
- Hands-on experience with Agentic AI frameworks (LangChain, LangGraph, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Critical thinker with strong algorithmic skills and the ability to debug complex systems.
Desired Qualifications
- Experience with Model Context Protocol (MCP) design or implementation.
- Background in building evaluation/benchmarking systems for agent workflows.
- Familiarity with building knowledge graphs and evaluating LLM outputs.
- Experience fine-tuning models or deploying local open-source models.
Benefits
- Supercharge your potential at HCLTech.
- Find your career and spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
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