AI Solutions Engineer

Work Experience: 8-12 years

Work Location: Bangalore/Pune/Gurgaon/Kochi

Work Mode: Hybrid

Must Have Skills: LLM, RAG, Python

Responsibilities

• Design, implement, and deploy LLM-powered solutions for translation, linguistic QA and workflow orchestration.
• Develop frameworks to enhance LLM output through contextual targeting (e.g. through retrieval-augmented generation or agentic pipelines using linguistic assets (translation memories, term bases, style guides etc.).
• Integrate LLM solutions into existing translation management systems, CAT tools and enterprise systems via APIs and services.
• Innovate: Experiment, Prototype and Build targeted AI solutions or modules. Stay current with advances in LLMs and agentic frameworks.
• Implement prompt engineering, prompt versioning and evaluation. Validate prompt outputs through both qualitative and quantitative evaluation procedures.
• Develop and maintain datasets for LLM quality validation, perform quality checks and create tools for data analysis or data creation (synthetic or sourced data)
• Create technical design and deployment documents for the solutions

Core Technology Skills

• Strong proficiency in Python and experience with modern ML/AI frameworks.
• Development skills in databases (e.g. SQL Server, PostgreSQL, Vector databases)
• Hands-on experience with one or more LLMs (e.g. Azure Open AI GPT, Claude, Gemini).
• Ability to build and deploy agentic systems using frameworks such as LangChain, LangGraph or equivalent.
• Strong understanding of prompt engineering principles and experience with prompting LLMs.
• Expertise in RAG architectures (e.g. Azure AI Search)
• Experience in API design, microservices, and cloud-native architectures (Azure, AWS).

Experience

• 7+ years of design and development experience, ideally including ML or applied AI
• Hands-on experience creating solutions with LLMs and/or Agents
• Experience in hands-on use of AI-embedded development tools (e.g. Cursor)
• Experience working at a translations technologies organisation is an advantage

Educational Qualification: Formal qualification in a technology discipline or equivalent experience