Artificial Intelligence Developer

Job Title:Sr. Engineer / Principal Engineer /Engineering Leader - AI Engineer

Experience:4 to 8 Years

About Company

The organisation is a global technology consulting and software development firm headquartered in Bangalore, India. It specialises in providing end-to-end solutions in custom software development, enterprise applications, cloud services, and product engineering.

It offers a collaborative and growth-oriented work culture, encouraging continuous learning, innovation, and opportunities to work on international projects using the latest technologies.

Key Responsibilities:

• GenAI Leadership & Architecture:

  Design and deliver sophisticated, user-facing GenAI applications, leveraging advanced LLM-based solutions for complex client needs.

• Backend Development & Integration:

  Develop robust backend services using Python (FastAPI) for LLM integrations across various platforms.

• Advanced Workflow Design:

  Architect dynamic, modular agentic workflows, incorporating Retrieval-Augmented Generation (RAG) techniques with multiple LLM choices (e.g., OpenAI, Gemini, Claude).

• Prompt Engineering Expertise:

  Employ advanced prompt techniques, including React and Reflex patterns, to optimize LLM outputs and significantly enhance user interactions.

• Data & Model Management:

  Integrate and manage vector search and hybrid data stores (e.g., Pinecone, Elastic Search, Azure AI Search) and deploy state-of-the-art embedding models (e.g., text-ada-embedding variants).

• Deployment & AI Governance:

  Orchestrate containerized deployments using Kubernetes and Terraform; implement semantic router guardrails and utilize tools like Langsmith and Datadog for robust AI governance and observability.

• Technical Guidance & Mentorship:

  Provide strong technical guidance, foster best practices, and mentor engineering teams across multiple GenAI workstreams, ensuring high quality and innovation.

Required Skills & Qualifications:

• Strong leadership and communication skills

• Languages:

  Expert proficiency in Python; familiarity with Go is a plus.

• Web Frameworks:

  Strong experience with FastAPI, Flask, Django.

• LLMs & GenAI Platforms:

  Hands-on experience with OpenAI, Gemini, Claude.

• GenAI Methodologies:

  Deep understanding and practical application of Retrieval-Augmented Generation (RAG), Tree-of-Thoughts, Few-Shot Prompting, and Agent Workflows.

• Vector Data-Stores:

  Experience with Azure AI Search, AWS OpenSearch, Pinecone, Elastic Search.

• Guardrails & Governance:

  Knowledge and experience with Semantic Router, Nemo Guardrails, Azure Semantic Routers, and Langsmith (AI Governance).

• Cloud Platforms:

  Proficient in at least one major cloud platform (Azure, AWS, GCP) with experience in cloud-based AI deployments.

• Libraries & Frameworks:

  Experience with LangChain, LangGraph, NLTK, PyTorch, TensorFlow.

• DevOps & CI/CD:

  Familiarity with Kubernetes, Terraform, CircleCI, Datadog for orchestration and monitoring
• Ability to thrive in fast-paced, iterative environments

Soft Skills:

• Engineer-first mindset
• Team-oriented culture
• Growth mindset
• Strong problem-solving skills