Gen AI Technical Lead/ Architect

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years

Work Mode: Full-time, Hybrid

We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems.

As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments.

Agentic AI Design & Implementation

Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning.

Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling .

Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents.

Generative AI & Model Optimization

Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX .

Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency.

Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving.

AI Research & Innovation

Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism).

Programming & Systems Engineering

Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration.

Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models.

Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems.

8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems.

~ Proven experience building, scaling, and deploying agent-based architectures.

~ Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning.

~ Familiarity with cognitive architectures, decision-making, and planning systems.

~ Hands-on with LLM integration and fine-tuning (e.g., Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems.

Publications or open-source contributions in Agentic AI or Generative AI.

Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents).

Knowledge of safety, ethics, and alignment in autonomous AI systems.

We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms.

At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals.

If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

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