Full Stack Developer

HCL Technologies Limited; Pune District; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

HCLTech is seeking a Generative AI Engineer in Pune to design, develop, and deploy scalable AI-powered applications using LLMs and cloud AI services. You will build intelligent agents, automate workflows, and integrate AI with enterprise systems, ensuring reliability and performance.

The role requires strong Python skills, hands-on experience with Vertex AI APIs, LangChain, and prompt engineering. You will collaborate with product and engineering teams to deliver AI-driven solutions.

Qualifications

• Strong Python development experience for AI applications.
• Hands-on with Vertex AI APIs and Generative AI services.
• Expertise in prompt design, tuning and evaluation of LLMs.
• Experience with LangChain and AI-enabled workflows.
• Strong REST API integration and microservices knowledge.

Responsibilities

• Design, develop, and maintain AI/LLM-based applications in Python.
• Build and integrate solutions using Google Vertex AI APIs and Generative AI services.
• Create and optimize prompts to improve accuracy and performance.
• Develop AI orchestration using LangChain and related ecosystems.
• Design autonomous AI agents and multi-agent workflows.
• Integrate AI with enterprise apps, databases, and third-party APIs.
• Perform model validation, testing, and monitoring for reliability and compliance.
• Optimize performance, scalability, security, and cost of AI applications.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Stay updated with Generative AI advances.

Skills

Python

Vertex AI

Prompt Engineering

LangChain

API Integration

AI Testing

LLM integration

Autonomous AI agents

Automation workflows

Tools

Vertex AI

REST APIs

CI/CD pipelines

Kubernetes

Job description

Job Summary – Generative AI / AI Engineer

We are seeking a highly skilled Generative AI Engineer with strong expertise in Python, Vertex AI APIs, Prompt Engineering, LangChain, API Integration, Agent Development, and AI Testing. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-powered applications leveraging Large Language Models (LLMs) and cloud-based AI services.

The candidate will work closely with product, engineering, and business teams to build intelligent agents, automate workflows, integrate AI solutions with enterprise systems, and ensure the quality, reliability, and performance of AI applications.

Key Responsibilities

Key Responsibilities

• Design, develop, and maintain AI/LLM-based applications using Python.
• Build and integrate solutions using Google Vertex AI APIs and Generative AI services.
• Create and optimize prompts to improve LLM accuracy, relevance, and performance.
• Develop AI orchestration frameworks using LangChain and related ecosystems.
• Design and implement autonomous AI agents and multi-agent workflows.
• Integrate AI solutions with enterprise applications, databases, and third-party APIs.
• Perform AI model validation, testing, evaluation, and monitoring to ensure reliability and compliance.
• Optimize AI application performance, scalability, security, and cost efficiency.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Stay updated with the latest advancements in Generative AI, LLMs, and Agentic AI technologies.

Skill Requirements

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Vertex AI, Generative AI APIs, and LLM integration.
• Expertise in Prompt Engineering and prompt optimization techniques.
• Experience with LangChain, RAG architectures, and AI workflow orchestration.
• Strong knowledge of REST APIs, API integration, and microservices architecture.
• Experience in developing and deploying AI Agents and intelligent automation solutions.
• Knowledge of AI testing frameworks, model evaluation, hallucination detection, and performance testing.
• Familiarity with cloud platforms, CI/CD pipelines, and containerization technologies.
• Excellent problem-solving, analytical, and communication skills.

Other Requirements

Preferred Qualifications

• Experience with Vector Databases (Pinecone, ChromaDB, FAISS, or similar).
• Knowledge of RAG, Agentic AI, MCP, AI Governance, and Responsible AI practices.
• Exposure to MLOps, Kubernetes, Docker, and cloud-native deployments.

Certifications in Google Cloud, Vertex AI, or Generative AI technologies are a plus.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.