Job Title:

Tech Lead - AI/LLM Engineering

Experience:

7-12 Years

Location:

Indore (On-site)

About the Role:

We are looking for an experienced Tech Lead - AI/LLM Engineering to lead the design, development, and deployment of AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. The ideal candidate will have strong expertise in AI/ML engineering, Python development, cloud technologies, and modern AI frameworks, along with proven experience in leading technical teams and delivering scalable AI solutions.

Key Responsibilities:

- Lead the architecture, design, and implementation of AI/LLM-based applications.

- Build and deploy scalable Generative AI solutions using state-of-the-art LLMs.

- Design and optimize Retrieval-Augmented Generation (RAG) pipelines.

- Develop intelligent AI agents, chatbots, copilots, and automation solutions.

- Integrate LLMs with enterprise applications through APIs and microservices.

- Fine-tune, evaluate, and optimize open-source and proprietary language models.

- Implement prompt engineering strategies to improve model accuracy and performance.

- Collaborate with product managers, data scientists, and engineering teams to translate business requirements into AI solutions.

- Mentor and guide AI engineers while driving engineering best practices.

- Ensure model scalability, security, monitoring, and performance in production environments.

- Stay updated with emerging AI technologies and recommend innovative solutions.

Required Skills & Qualifications:

- 7-12 years of software engineering experience with at least 3-5 years in AI/ML or Generative AI.

- Strong proficiency in Python programming.

- Hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, Mistral, Gemini, or similar.

- Strong experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent AI orchestration frameworks.

- Experience in building RAG (Retrieval-Augmented Generation) applications.

- Knowledge of Prompt Engineering, model evaluation, and fine-tuning techniques.

- Experience with vector databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS.

- Familiarity with AI model deployment using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

- Experience with REST APIs, microservices architecture, and distributed systems.

- Strong understanding of machine learning fundamentals and NLP concepts.

- Knowledge of CI/CD pipelines and MLOps practices is preferred.

- Excellent problem-solving, leadership, and communication skills.

Preferred Qualifications:

- Experience working with multi-agent AI systems.

- Exposure to AI governance, security, and responsible AI practices.

- Hands-on experience with Hugging Face Transformers and open-source LLMs.

- Experience in model monitoring, observability, and production AI systems.

- Certifications in AI, Machine Learning, or Cloud platforms are an added advantage.

Education:

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field from a recognized university.

Why Join Us:

- Opportunity to lead cutting-edge AI and Generative AI initiatives.

- Work on enterprise-scale AI products and next-generation LLM applications.

- Collaborative and innovation-driven work environment.

- Excellent opportunities for technical leadership and career growth.