AI Engineer

AI Engineer

We are seeking a Senior AI Engineer with deep hands on expertise in Generative AI multi agent orchestration and LLM based systems with Python to design build and scale secure production grade AI platforms. The role requires strong engineering rigor practical experience beyond PoCs and the ability to operationalize agentic AI in complex enterprise environments.


Roles & Responsibilities
Core Skills & Responsibilities
Generative AI & LLM Engineering
Strong hands on experience building LLM powered applications for reasoning summarization Q&A and content generation
Expertise in prompt engineering prompt optimization and systematic prompt evaluation
Ability to generate structured and deterministic outputs for downstream consumption
Apply grounding response validation and hallucination mitigation techniques

Multi Agent Orchestration & LangGraph (Must Have)
Strong hands on experience designing and implementing multi agent AI systems
Practical experience working with agent orchestration frameworks specifically LangGraph
Design and implement:
o Orchestrator / supervisor agent patterns
o Intent routing task decomposition and agent sequencing
o Dependency management and agent handoffs
Implement tool calling patterns shared context management and output aggregation across agents
Experience managing agent state memory and execution flow in production environments

Retrieval Augmented Generation (RAG)
Build and optimize RAG pipelines across large unstructured datasets
Hands on experience with:
o Embedding strategies
o Vector databases and semantic search
o Chunking ranking and metadata based retrieval
Ensure responses are traceable explainable and source grounded

AI Application Engineering
Strong backend engineering skills using Python
Design modular API first AI services using scalable architectures
Integrate AI services with external systems and tools via secure APIs
Efficient handling of long running agent workflows and asynchronous execution

Cloud Native AI & Platform Skills
Experience deploying AI solutions on cloud native platforms
Familiarity with:
o Containerized AI workloads
o CI/CD pipelines for AI and agent services
o Scalable fault tolerant system design
Experience managing structured and unstructured data storage for AI workloads

AI Governance Security & Reliability
Implement guardrails and safety controls including:
o Prompt injection prevention
o Access control and role based execution
o Output validation and policy enforcement
Support observability for:
o Agent behavior and execution flow
o Confidence scoring and failure detection
o Usage patterns and anomaly detection
Design AI systems that are auditable explainable and enterprise ready

Collaboration & Technical Leadership
Provide technical leadership across AI and GenAI initiatives
Review AI designs orchestration flows and implementation quality
Mentor junior AI engineers on agent design and best practices
Collaborate with architects data scientists and platform engineers

Required Qualifications
Strong experience as a Senior AI / GenAI Engineer
Proven hands on experience with multi agent orchestration using LangGraph
Advanced knowledge of:
o LLMs and agentic AI systems
o RAG architectures
o Python based AI development
Experience delivering production grade AI systems not just experiments

Preferred Qualifications
Experience designing large scale agent based platforms
Exposure to LLMOps / MLOps practices
Familiarity with model and agent evaluation techniques
Experience working in regulated or security sensitive environments

Key Expectations
Deliver scalable reliable and well orchestrated AI systems
Demonstrate deep hands on ownership of multi agent execution logic
Balance innovation with robustness security and maintainability