Job
Description

Job Description

We are looking for a Senior AI / Generative AI Engineer with around 4 years of experience designing and delivering production-grade Agentic AI, LLM, and RAG solutions. The candidate should be capable of owning architecture, implementation, evaluation, deployment, and optimization of complex AI workflows.

Key Responsibilities

• Architect and develop production-grade Agentic AI and Generative AI solutions.
• Design multi-agent systems involving task orchestration, routing, tool calling, and agent collaboration.
• Design advanced RAG architectures for enterprise knowledge grounding and semantic search.
• Own LLM workflow architecture from requirements and prompt design through backend integration and cloud deployment.
• Build reliable tool-calling and structured-output pipelines for complex business processes.
• Develop high-quality backend services and APIs using Python and FastAPI/Flask.
• Design event-driven and distributed AI workflows using AWS Lambda, S3, SQS, and EC2.
• Establish evaluation, validation, regression testing, and monitoring approaches for non-deterministic AI systems.
• Optimize AI systems for accuracy, latency, scalability, reliability, and cost.
• Provide technical guidance and mentoring to junior AI engineers.
• Work with stakeholders to identify automation opportunities and translate them into scalable AI solutions.

Mandatory Skills

• 4 years of relevant experience in AI, Data Science, Generative AI, or software engineering.
• Strong Python and SQL expertise.
• Proven experience building and deploying LLM-powered applications.
• Strong expertise in Agentic AI, multi-agent workflows, and LLM orchestration.
• Strong LangChain and LangGraph experience.
• Advanced RAG, semantic search, embeddings, and vector database experience.
• Strong FastAPI/Flask and REST API development skills.
• Hands-on AWS experience with Lambda, S3, SQS, and EC2.
• Experience designing evaluation and regression strategies for LLM applications.
• Ability to independently own technical design and production delivery.

Preferred Background

Experience with OpenAI, Anthropic, Llama, Groq, or comparable foundation models; enterprise automation, procurement, analytics, or document-intelligence use cases; PostgreSQL, MySQL, MongoDB, or MSSQL; building AI-driven dashboards or business applications; and mentoring engineers and driving technical decisions. Candidates should demonstrate practical implementation capability rather than purely theoretical knowledge.