GenAI Engineer

:

GenAI Engineers will build and deliver components of Generative AI and Agentic AI solutions, leveraging Large Language Models (LLMs) and Small Language Models (SLMs) across enterprise use cases. Working within a broader project team and under the guidance of senior engineers and architects, the GenAI Engineer implements well-defined features and technical designs, experiments with new GenAI techniques, and builds strong hands-on depth in fine-tuning and deploying LLM/SLM-based solutions. The role calls for curiosity, a strong learning mindset, and the ability to independently execute well-scoped tasks.

Candidate Requirements :

Education :

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience :

- 5 years of experience in AI/ML engineering, including at least 1 to 2 years of hands-on experience building GenAI/LLM-based applications and SLM fine tuning to create specialized models.
- Experience contributing to at least one GenAI use case through to production deployment as part of a project team.
- Experience on specialized model training and deployment on sovereign/local on premise infrastructure.

Skills :

Required Skills :

- Hands-on experience fine-tuning and adapting LLMs and SLMs using standard approaches, including LoRA, QLoRA, PEFT, and instruction tuning, under the direction of senior engineers or architects.
- Working knowledge of commonly used LLMs (e.g., GPT-4/4o, Claude, Gemini, Llama, Mistral) and SLMs (e.g., Phi, Gemma, Mistral-7B) for well-defined enterprise use cases.
- Proficiency in Python and GenAI development frameworks such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, and CrewAI.
- Practical experience with prompt engineering, prompt chaining, and few-shot/zero-shot techniques.
- Experience implementing components of Agentic AI systems, including tool/function calling and agent workflows,



based on architecture and patterns defined by senior team members.
- Experience building Retrieval-Augmented Generation (RAG) pipelines, including chunking, embedding models, and vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma, Milvus).
- A strong learning and innovation mindset, with the ability to experiment with new GenAI techniques and bring ideas to the team.
- Good analytical and problem-solving skills, with the ability to independently execute well-scoped tasks and communicate progress clearly.

Preferred Skills :

- Familiarity with responsible AI practices, including guardrails, hallucination mitigation, and bias detection.
- Exposure to cloud GenAI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Basic knowledge of MLOps/LLMOps practices, including CI/CD for ML, model versioning, and monitoring tools (e.g., LangSmith, Weights & Biases).
- Understanding of containerization tools (e.g., Docker) for packaging GenAI services.
- Exposure to building or consuming REST/GraphQL APIs for GenAI capabilities.
- Familiarity with knowledge graphs and semantic search.

Responsibilities :

- Develop and fine-tune GenAI/Agentic AI components using LLMs/SLMs against defined technical designs.
- Build and support RAG pipelines, vector search, and retrieval components.
- Implement agent workflows, including tool use and task execution, based on architecture defined by senior engineers.
- Assist in fine-tuning and optimizing LLMs/SLMs under the guidance of senior team members.
- Contribute to the delivery of assigned GenAI features within a broader project team, from build through deployment.
- Collaborate with senior engineers, data engineers, and architects to implement solution requirements.
- Support the evaluation of current GenAI tools and frameworks.
- Apply guardrails and evaluation checks as defined by the team's responsible AI practices.
- Test and validate GenAI solution components for accuracy and performance.
- Stay current with GenAI, LLM, SLM, and Agentic AI developments and share learnings with the team.

📌 Capgemini - Generative AI Engineer (India)
🏢 Capgemini Technology Services
📍 India