Lead Engineer - Generative AI

About Kadel Labs:

Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency.

Job Title: Lead Engineer

Location: Bangalore

Experience Required: 5+ years

Job Summary

We are seeking a highly skilled Lead Engineer to design and deliver Agentic AI solutions leveraging frameworks such as Autogen, LangGraph, LangChain, and Retrieval-Augmented Generation (RAG).
In this role, you will lead technical initiatives to build scalable, intelligent systems that combine LLMs, custom ML models, and data-driven reasoning.
You will collaborate closely with clients and internal teams to architect innovative solutions that solve real-world challenges using cutting-edge AI technologies.

Key Responsibilities

• Architect and develop Agentic AI solutions using Autogen, LangGraph, LangChain, and RAG.
• Design multi-agent orchestration flows, enabling reasoning, coordination, and tool-use among AI agents.
• Build and deploy custom ML models for regression, classification, and NLP tasks.
• Lead and mentor a team of engineers, providing technical guidance and fostering innovation.
• Collaborate with clients and internal engineering teams to define AI solution strategies, translate business requirements into technical architectures, and drive successful project delivery.
• Fine-tune and optimize LLMs using LoRA, QLoRA, and other advanced optimization techniques.
• Develop and maintain data pipelines ensuring scalability, quality, and data integrity.
• Implement CI/CD and MLOps pipelines for automated testing, deployment, and monitoring.
• Stay current with emerging trends in Agentic AI, LLMOps, and applied machine learning research.

Required Qualifications

• B.Tech / M.Tech / MCA in Computer Science, AI, or a related field.
• 5+ years of experience in AI/ML engineering, with hands-on work in Agentic AI systems.
• Proven expertise with Autogen, LangGraph, LangChain, and RAG frameworks.
• Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Experience in LLM fine-tuning and model optimization (LoRA, QLoRA, TensorRT, mixed precision, Apex).
• Deep understanding of vector databases (Faiss, Qdrant, Annoy) and retrieval frameworks.
• Strong background in data engineering, MLOps, and model deployment workflows.
• Excellent communication, collaboration, and client-facing skills with the ability to translate complex AI concepts into practical business solutions.

Nice to Have

• Experience with multi-agent frameworks (CrewAI, SmolAgents, OpenDevin).
• Knowledge of NLP, computer vision, or multimodal AI systems.
• Understanding of AI ethics, safety, and bias mitigation practices.
• Familiarity with MLOps tools like MLflow, DVC, or Weights & Biases.
• Experience working in agile service delivery environments or with cross-functional client teams.

Benefits

Why Join Kadel Labs?

• Opportunity to work with a fast-growing, innovative company.
• A dynamic work environment where creativity and new ideas are encouraged.
• Competitive salary and benefits package.
• Professional development opportunities in a people-first culture.

Visit us:https://kadellabs.com/

https://in.linkedin.com/company/kadel-labs

https://www.glassdoor.co.in/Overview/Working-at-Kadel-Labs-EI_IE4991279.11,21.html

Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Application Question(s):

• What's your current location?
• How many Years of experience you have in GenAI?
• What's your current salary?
• What's your expected Salary?
• How soon you can join us?

Work Location: In person