TCS accelerates AI adoption for enterprise clients (industry, energy, services). We are looking for a passionate Generative AI intern to join our Toulouse team. You will work in a structured project environment (Agile), mentored by an AI Tech Lead, and contribute to GenAI POCs and MVPs that move toward production.

Missions :

• Design and develop AI/GenAI POCs (RAG, agents, assistants, domain copilots) and evolve them into production-ready MVPs.

• Build LLM chains (prompting, tooling, evaluation) and agents (tools, planning, multi-step execution).

• Implement data pipelines for preparation, indexing, and search (hybrid BM25 + vectors).

• Set up evaluation & observability (quality, cost, latency, hallucination rate, tracing).

• Deploy on GCP (preferred) – Vertex AI, Cloud Run, BigQuery, IAM – or, depending on projects, AWS/Azure.

• Write technical documentation, prepare demos, and present your work in sprint reviews.

Stack & technical environment (reference) :

• Language: Python (required, excellent level).

• AI / DL: PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.

• LLM / GenAI:

• Models & tools: Gemini (Vertex AI), open-source (Llama, Mistral…), embeddings, tokenizers.

• Orchestration: LangChain / LlamaIndex / Haystack, LangGraph or agentic frameworks (AutoGen, CrewAI).

• RAG: ingestion (PDF/HTML), chunking, encoding, Vector DB (FAISS, pgvector, Pinecone/Weaviate as needed), reranking (BM25/ColBERT).

• Guardrails & evaluation: Ragas / DeepEval / promptfoo, Pydantic validations, safety rules, basic red-teaming.

Cloud & Dev :

• GCP (preferred): Vertex AI, BigQuery, Cloud Storage, Cloud Run/Functions, Pub/Sub, Secret Manager, IAM.

• Alternatives: AWS (Bedrock, S3, Lambda), Azure (AI Studio, OpenAI, Functions).

MLOps / DevOps :

Docker, Git/GitHub, CI/CD (GitHub Actions/GitLab CI), testing (pytest), pre-commit, packaging (poetry).

Nice-to-have: basic TypeScript/React for small demo UIs, OpenAPI/REST, security basics (PII, GDPR), LangFuse/Arize Phoenix for tracing.

TCS accelerates AI adoption for enterprise clients (industry, energy, services). We are looking for a passionate Generative AI intern to join our Toulouse team. You will work in a structured project environment (Agile), mentored by an AI Tech Lead, and contribute to GenAI POCs and MVPs that move toward production.

Missions :

• Design and develop AI/GenAI POCs (RAG, agents, assistants, domain copilots) and evolve them into production-ready MVPs.

• Build LLM chains (prompting, tooling, evaluation) and agents (tools, planning, multi-step execution).

• Implement data pipelines for preparation, indexing, and search (hybrid BM25 + vectors).

• Set up evaluation & observability (quality, cost, latency, hallucination rate, tracing).

• Deploy on GCP (preferred) – Vertex AI, Cloud Run, BigQuery, IAM – or, depending on projects, AWS/Azure.

• Write technical documentation, prepare demos, and present your work in sprint reviews.

Stack & technical environment (reference) :

• Language: Python (required, excellent level).

• AI / DL: PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.

• LLM / GenAI:

• Models & tools: Gemini (Vertex AI), open-source (Llama, Mistral…), embeddings, tokenizers.

• Orchestration: LangChain / LlamaIndex / Haystack, LangGraph or agentic frameworks (AutoGen, CrewAI).

• RAG: ingestion (PDF/HTML), chunking, encoding, Vector DB (FAISS, pgvector, Pinecone/Weaviate as needed), reranking (BM25/ColBERT).

• Guardrails & evaluation: Ragas / DeepEval / promptfoo, Pydantic validations, safety rules, basic red-teaming.

Cloud & Dev :

• GCP (preferred): Vertex AI, BigQuery, Cloud Storage, Cloud Run/Functions, Pub/Sub, Secret Manager, IAM.

• Alternatives: AWS (Bedrock, S3, Lambda), Azure (AI Studio, OpenAI, Functions).

MLOps / DevOps :

Docker, Git/GitHub, CI/CD (GitHub Actions/GitLab CI), testing (pytest), pre-commit, packaging (poetry).

Nice-to-have: basic TypeScript/React for small demo UIs, OpenAPI/REST, security basics (PII, GDPR), LangFuse/Arize Phoenix for tracing.

Profile :

• Master’s/Grande École/Engineering student specializing in AI/ML/Data/Software.

• Comfortable with Generative AI and LLMs, with at least one hands-on POC experience (internship, project, hackathon).

• Comfortable with GCP (preferred) or another cloud (AWS/Azure).

• Strong Python skills and software craft practices (tests, reviews, clean code).

• Analytical mindset, curiosity, autonomy, product thinking, and clear communication in French (technical English appreciated).

What we offer :

• Mentorship by an AI Tech Lead, code reviews, and methodological coaching.

• Real-world projects with high visibility at major enterprises.

• Access to a fully equipped ecosystem (cloud, vector DB, tracing, CI/CD).

• Agile ways of working, team rituals, sharing culture, internal talks & tech watch.

Expected deliverables by end of internship :

• 1–2 functional POC/MVPs (agents/RAG/copilot).

• Technical package (architecture, decisions, costs, risks), tests & evaluation metrics.

• Demo and knowledge transfer to the team.

Why join TCS:

• Join an international company and a leader in its field.

• Thrive in a multicultural environment with diverse and high-impact projects.

• Develop your skills through continuous training.

• Benefit from an inclusive and collaborative company culture.

• Participate in innovative projects that are transforming the future.

The recruitment process:

• An initial meeting with our HR team.

• A technical interview to assess your skills.

• A final interview with an operational manager.

• And then, welcome to TCS!

“At TCS, diversity is an asset and inclusion is a daily commitment. We cultivate an environment where every talent, regardless of their background or experience, can express themselves, grow, and fully contribute to our collective success.”