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AI and Automation Engineer
Location
Bhubaneswar
Department
BPR & KM
Qualifications and Requirements
We are open to candidates with 1–3 years of experience, or strong candidates with slightly less experience but demonstrated hands-on project work.
A background in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred. However, practical experience and the ability to build real-world solutions will be valued more than formal qualifications.
Job Description
As part of this role, you will be expected to take ownership of building and improving AI-driven systems that directly impact business operations.
You will design and develop frontend/ backend services and APIs that support internal tools, ensuring they are scalable, reliable, and easy to integrate with other modules. A significant part of your work will involve building AI-powered workflows using large language models, where you will experiment with prompt engineering, structured outputs, and response optimization.
You will also work on developing automation pipelines for translation and localization workflows, including content ingestion, processing, and validation. This includes contributing to systems such as QA engines that can intelligently evaluate translated content based on defined rules and contextual understanding.
In addition, you will integrate with third-party tools and platforms such as translation management systems (TMS), machine translation APIs, and QA tools, enabling seamless data flow across systems. You will be responsible for designing connectors and ensuring that integrations are robust and maintainable.
The role also requires you to work with modern AI tools and techniques such as AI Coding, LLMs, embeddings, semantic search, and retrieval-based systems (RAG), helping improve the quality and efficiency of AI-generated outputs.
You will be expected to continuously experiment, prototype, and validate new ideas that can enhance operational efficiency, reduce manual effort, and improve overall service quality.
Skills Required
Desired Skills
We are looking for someone who is not just technically capable, but also curious, proactive, and eager to solve real-world problems.
You should be comfortable working in a non-technical or semi-technical environment, where you will often need to translate business needs into technical implementations. The ability to learn quickly, adapt to new tools, and build solutions with limited guidance is important.
The role requires a balance between execution and independent thinking, where you can take direction when needed but also propose and implement your own ideas.
Desired Technical Skills
We are looking for candidates with a strong foundation in software development and a growing interest or experience in applied AI.
You should have solid programming skills, preferably in Python, and experience in building backend systems and APIs. A good understanding of working with databases, APIs, and structured data is essential.
You should be familiar with modern AI tools and concepts such as:
Large Language Models (LLMs) and their APIs (e.g., OpenAI)
Prompt engineering and structured output handling
Retrieval-Augmented Generation (RAG) concepts
Embeddings and semantic search
Experience with tools and frameworks such as LangChain, vector databases (e.g., FAISS, Pinecone), or similar technologies will be an advantage, though not mandatory.
You should also be comfortable working with REST APIs, JSON-based data exchange, and integration patterns such as webhooks and asynchronous processing.
Exposure to localization workflows, translation tools (such as CAT tools or TMS platforms), or QA tools (like Xbench or Verifika) will be considered a strong plus, though not a strict requirement.