AI Engineer

We are looking for an AI Engineer (L5) a senior technical contributor responsible for building optimizing and operationalizing AI and LLMbased applications distributed agentic systems and intelligent automation frameworks. With 58 years of experience this role blends handson engineering with architectural thinking ensuring secure scalable and highperforming AI solutions.

You will design agent workflows develop custom model integrations build retrieval pipelines implement guardrails and collaborate closely with engineering data product QA and infrastructure teams. This role requires strong technical problemsolving structured thinking and a deep understanding of how AI components integrate within distributed cloudnative systems.

Core Responsibilities:

• Design and implement AI/LLMpowered capabilities including agent workflows tooluse actions retrievalbased systems and structured output pipelines.

• Build integrations with major model providers (OpenAI Azure OpenAI Anthropic) and opensource model ecosystems.

• Develop and optimize RAG pipelines embeddings vector search and semantic retrieval patterns.

• Implement evaluation harnesses guardrails prompt management and safety validation workflows.

• Collaborate with backend frontend and data engineers to deliver scalable AIdriven features.

• Integrate AI capabilities into Kubernetesbased microservices environments using modern APIs and deployment patterns.

• Configure and operate modelserving environments (vLLM TGI KServe) including tuning for latency throughput and cost.

• Implement observability for AI systems including telemetry metrics traces structured logs and prompt evaluations.

• Support CI/CD automation model versioning feature flagging and safe rollout of AI functionality.

• Contribute to documentation architectural diagrams and reusable internal AI patterns.

• Mentor junior engineers and support skill development across AI engineering best practices.

Qualifications :

Required qualifications:

• 58 years of experience in software engineering AI engineering ML engineering or distributed systems engineering.

• Handson experience building AI/LLM applications including retrieval embeddings structured outputs and function/tool calling.

• Strong proficiency in Python and TypeScript/JavaScript including API development and workflow orchestration.

• Familiarity with agent frameworks (LangChain LlamaIndex DSPy Semantic Kernel) and evaluation patterns.

• Experience with vector databases (FAISS Milvus Pinecone Chroma) and semantic search pipelines.

• Working knowledge of Kubernetes containers Gitbased workflows CI/CD and cloudnative deployment patterns.

• Strong understanding of distributed system design performance tuning and observability.

• Bachelors degree in Computer Science Engineering Mathematics or equivalent practical experience.

• Advanced English level (written and spoken) to communicate effectively across global teams.

Preferred experience:

• Experience in regulated industries such as Life Sciences healthcare medical devices or finance.

• Familiarity with multimodal model integration and realtime inference workflows.

• Experience with GPU/acceleratorbased inference optimization and modelserving performance tuning.

• Exposure to or contribution to agentic orchestration patterns and multimodel coordination.

• Cloud certifications or AI/ML specialization credentials.

Technical skills

AI Engineers at this level are expected to demonstrate familiarity with one or more tools and frameworks in each of the following categories:

• Agent Frameworks & Orchestration

  • LangChain LlamaIndex DSPy

  • Semantic Kernel tool/function calling patterns

  • MCPbased architectures and custom agent toolchains

• Programming & Data

  • Python TypeScript/JavaScript

  • Pandas NumPy PySpark (awareness)

  • Vector search (FAISS Milvus Pinecone)

  • SQL/NoSQL databases

• Model Ops & Serving

  • vLLM TGI KServe Triton

  • LoRA/adapters prompt/version control

  • Cost latency and performance optimization

• Observability & Telemetry

  • Langfuse Arize/Phoenix

  • OpenTelemetry for LLMs

  • Structured logs traces prompt evaluation

• Security & Governance

  • Secrets management (Vault KMS)

  • Content filtering and policy enforcement

  • PII/PHI handling complianceaware design

Soft Skills

• Strong communication skills and ability to collaborate across technical and nontechnical teams.

• Analytical thinking and structured problem solving.

• Ability to simplify complex AI concepts into clear implementation plans.

• High ownership mindset focused on quality reliability and measurable outcomes.

• Adaptability to rapidly evolving AI technologies and delivery environments.

• Mentorship capability to support junior engineers and crossfunctional partners.

Organizational Competencies

• Remote Collaboration: Works effectively in distributed teams using asynchronous communication.

• Continuous Learning: Actively explores new models frameworks and safety techniques.

• Cultural Fit: Embodies Veritas Automatas values of innovation integrity and ownership.

• Strategic Impact: Contributes reusable AI building blocks that accelerate future product delivery.
   

Additional Information :

Workplace Conditions and Physical Expectations

• Prolonged periods of sitting at a desk and working on a computer.

• Must be able to lift 15 pounds at times.

• Must access and navigate each department at the organizations facilities.

• Occasional travel to the clients site may be required.

Work-life integration: We support work-life balance and create greater synergy among work home family and personal well-being.

Remote Work :

Yes

Employment Type :

Full-time