Gen AI Engineer

Job description:

We are seeking an AI Engineer specializing in Generative AI and Agentic AI systems. This role focuses on designing, developing, and operationalizing intelligent AI agents, Large Language Model (LLM)-based applications, Retrieval-Augmented Generation (RAG) systems, and autonomous multi-agent workflows.

Key Responsibilities

1. GenAI Development & LLM Engineering

* Build and deploy LLM-based applications leveraging frameworks like Lang Chain.

* Develop RAG pipelines using vector databases for enterprise knowledge retrieval.

* Develop data pipelines to create structured and unstructured datasets for LLM and agent workflows.

* Optimize prompts, system instructions, and memory architectures for robust, domain-specific reasoning.

* Evaluate model performance-accuracy, hallucination mitigation, latency, and safety compliance.

2. Agentic AI Design & Autonomous Workflow Engineering

* Implement agentic systems capable of planning, reasoning, tool usage, and multi-step decision-making.

* Build multi-agent ecosystems (task agents, planning agents, critic agents, evaluation agents) to automate complex workflows.

* Integrate agents with APIs, enterprise systems, and external tools to create end-to-end autonomous solutions.

* Ensure agent alignment with Responsible AI principles-traceability, guardrails, human oversight.

3. AI Systems Integration & Deployment

* Build scalable microservices and APIs for GenAI and agentic components.

* Deploy models and agents using Azure ML or Kubernetes-based stacks.

4. Collaboration & Influence

* Engage with business and product stakeholders to convert ambiguous use cases into technical solutions.

* Support internal capability building-AI best practices, prompt engineering, GenAI safety, and evaluation frameworks.

Required

Skills & Qualifications

* Strong hands-on expertise in Python, LLM frameworks, and ML/DL libraries (Transformers, PyTorch, Tensor Flow, scikit-learn).

* Experience with API development, microservices, Docker, and Kubernetes.

* Experience building RAG systems with vector databases and embeddings.

* Experience with agentic frameworks or building custom autonomous agents.

* Strong understanding of LLM safety, hallucination mitigation, and evaluation techniques.

* Cloud proficiency in Azure (or any other hyperscalers - AWS, GCP etc)

Soft Skills

* Strong analytical reasoning, problem-solving, and design thinking skills.

* Comfortable working in fast-paced, agile, innovation-driven environments.

* Curiosity and a passion for emerging AI research, prototyping, and experimentation.

Salary Range: $100,000 to $115,000 per year