GenAI Engineer (India)

We’re seeking an experienced strong Generative AI Engineer to support enterprise-wide AI enablement initiatives. This role will focus on building robust GenAI and agentic AI workflows, automating workflows and working across diverse platforms like AWS, Microsoft 365, MS Copilot, and other 3 rd party GenAI platforms and libraries.

The ideal candidate is highly self-driven and comfortable operating across architecture, and hands-on implementation. This is a high-impact role supporting an AI Center of Excellence (CoE) at scale.

Over 10 years of robust software engineering experience, including 2 to 3 years of dedicated hands-on work in Generative AI and Retrieval-Augmented Generation (RAG) architecture

Over 3 years of cloud native experience preferably on AWS.

Over 5 years of hands-on experience with Python

Experience building interoperable Agentic AI Proof of Concepts using Model Context Protocol (MCP) and/or Google A2A.

Design and develop GenAI solutions using prompt engineering, Retrieval-Augmented Generation (RAG), and custom pipelines

Design and develop interoperable AI agents using Model Context Protocol (MCP) and Google A2A

Automate workflows involving parsing unstructured content such as emails, documents, and web pages in to highly accurate and reliable structured content

Automate building documents using data and content from various diverse sources

Build enterprise-wide reusable services and components

Design and build MCP hosts, clients and servers

Establish frameworks for automated LLM testing

Create regression test suites to detect drift or prompt breakage

Integrate with internal and external web services using secure authentication and authorization mechanisms

Adopt and ensure safe practices to protect against prompt injections, jailbreaks, and conform to enterprise security guidelines

Experience with agile methodologies and ability to independently document user stories in the absence of Business Analyst

Collaborate with the AI CoE team to ensure scalability, reusability, and alignment with governance standards

Required Skills:

Very strong Python skills.

Strong hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Anthropic, etc.) using Python and Python based frameworks

Strong hands-on experience in prompt engineering, context construction, grounding strategies

Strong hands-on experience with Retrieval Augmented Generation (RAG) extracting, chunking and create embeddings from unstructured documents from diverse sources including O365(email, word, excel), PDFs, and webpages.

Comfortable building Model Context Protocol (MCP) clients, servers and hosts.

Strong Expertise in building REST APIs and integrating with internal/external APIs

Hands-on experience with Intelligent Document Processing and/or OCR technologies on complex documents

Knowledge of Google A2A

Deep experience in AWS (Lambda, Bedrock, Step Functions, API Gateway, IAM)

Strong experience with monitoring using LangSmith, CloudWatch, or other similar GenAI observability tools

Excellent GenAI foundations and concepts

Clear understanding of enterprise data privacy, AI governance, and observability

Experience with Microsoft Copilot extensibility (Graph connectors, plugins, or adaptive cards)

Ability to build and orchestrate AI-to-AI interactions using Google A2A, integrating multiple agents or tools

Strong traditional ML Experience

Success Profile:

You’re a builder who can translate fuzzy business needs into elegant GenAI and Agentic AI workflows

You’re a problem solver who’s comfortable navigating across cloud platforms, tools, and data sources

You’re collaborative, with the ability to work independently while aligning with enterprise AI goals

About Aubrant

Aubrant Digital is a leader in multi-shore custom application development. We are passionate about solving our clients’ business problems through consultative teamwork, innovative software, and proven processes. We’ve served more than 50 clients and delivered hundreds of high quality, custom enterprise applications. Our clients value us as integral team members who get the job done on time and on spec, and we are proud of our high client retention rate and under 2% staff turnover. With offices in New Jersey, Boston, Costa Rica, and Eastern Europe, we execute the full software lifecycle, from architecture and design through development, QA and application maintenance & support. Our company culture emphasizes client service, trust-based relationships, and innovation.