Gen AI Engineer

Job Summary:

Gen AI Engineer

In this role you will be responsible for coding testing and delivering high quality deliverables and should be willing to learn new technologies.

Responsibilities

GenAI Technical Authority & Architecture Act as the principal technical authority for GenAI and LLM based systems across the organization.

Define and evolve enterprise GenAI architectures reference implementations and design patterns.

Own architectural decisions for multiagent systems orchestration frameworks and complex workflows using CrewAI LangGraph or equivalent.

Lead the design of largescale complex document intelligence and parsing solutions setting the bar for quality and performance.

Hands On Engineering & Problem SolvingRemain deeply handson contributing to critical code paths prototypes and production systems.

Design build fine tune evaluate and deploy advanced LLM solutions (copilots autonomous agents RAG systems summarization extraction chatbots).

Solve the most complex GenAI challenges involving performance scalability latency cost and reliability.

Drive advanced prompt engineering evaluation frameworks and fine tuning & Production Excellence

Lead the development of reusable GenAI platforms frameworks and shared services.

Establish best practices for model lifecycle management observability evaluation and governance.

Ensure GenAI solutions meet enterprise requirements for security compliance robustness and responsible AI.

Partner with cloud platform and Governance teams to ensure production readiness at scale. Technical Leadership Without Line Management

Provide technical mentorship and guidance to Lead and Senior GenAI engineers.

Set coding standards review complex designs and raise the overall technical bar.

Influence technical direction across teams without direct people management responsibility.

Act as a trusted advisor to engineering leadership product leaders and executives. Innovation Strategy & Thought Leadership

Continuously evaluate emerging LLMs orchestration frameworks and GenAI tooling.

Influence GenAI roadmap and investment decisions through technical insight and experimentation.

Drive responsible AI practices including bias mitigation explainability and risk management.

Represent the organization internally and externally as a GenAI technical thought leader

Qualifications/ Education

Bachelor s or Master s degree in Computer Science AI Data Science or related field.

Excellent written and verbal communication skills

Qualifications/ Skills

Programming: Python (expert level) Java / TypeScript (for system integrations)

GenAI Frameworks: Hugging Face Transformers Lang Chain OpenAI API or equivalents

LLMs: Deep hands-on experience with state of the art models (GPT 4/5 class Claude Grok or similar)

Orchestration: Crew AI Lang Graph or other multi agent orchestration systems

ML Frameworks: PyTorch TensorFlow or JAX Retrieval &

Data: RAG pipelines embeddings vector databases document chunking strategies

Deployment: Docker Kubernetes Fast API CI/CD pipelines

Cloud Platforms: Azure AWS or GCP

Hands on software ML or AI engineering experience. delivering GenAI or LLM based systems in production.

Demonstrated experience owning architecture across multiple GenAI initiatives. Proven ability to influence technical direction at an organizational level.

Strong communication skills with both technical and executive audiences.

Experience designing enterprise GenAI platforms or internal AI frameworks.

Hands on work with multi agent or autonomous GenAI systems in production. Contributions to open source GenAI projects internal platforms or technical publications.

Experience operating in regulated or high-risk environments requiring strong AI governance.