Gen AI Engineer

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 strategies.Platform & 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 Google Cloud Platform
• 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.