AI Engineering Intern

Round 1: Online coding test (Python/DSA) → Round 2: Technical interview (AI concepts, projects, system design) → Round 3: HR interview (fitment, communication, PPO discussion)

eTeam promotes a merit‑based, inclusive work environment where engineers are given ownership of their projects and encouraged to experiment with new technologies. The company offers flexible working hours, regular knowledge‑sharing sessions, and clear career progression tracks, ensuring a healthy work‑life balance while fostering rapid skill growth.

eTeam’s interview process typically starts with a timed online coding assessment focusing on Python and data‑structure problems, followed by a technical interview that dives deep into LLM concepts, prompt engineering, and past projects. The final HR round assesses cultural fit and discusses the PPO. Candidates should be ready to explain their AI prototypes and demonstrate problem‑solving agility.

Graduating in 2026 or 2027 with a B.Tech/B.E. in Computer Science, Artificial Intelligence, Data Science or related fields. Minimum aggregate of 60% (or CGPA 6.0/10) in the qualifying degree. No active backlogs at the time of joining. Candidates from the 2027 batch must provide a No Objection Certificate (NOC) from their college. Strong programming skills in Python (or equivalent) and a solid understanding of LLMs, RAG, prompt engineering, and APIs are mandatory.

eTeam is a fast‑growing technology services firm headquartered in Noida, India. Over the past few years, the company has built a reputation for delivering cutting‑edge solutions in cloud, data engineering, and artificial intelligence to a diverse portfolio of clients ranging from startups to Fortune‑500 enterprises. The organization prides itself on a collaborative culture where engineers are encouraged to experiment, learn, and bring innovative ideas to production quickly. With a strong focus on AI‑driven products, eTeam invests heavily in research labs and partners with leading LLM providers to stay ahead of the generative AI curve. The AI Engineering Intern role is designed for fresh graduates of the 2026 and 2027 batches who are passionate about building end‑to‑end AI solutions. Interns will work directly under senior AI engineers and product managers, gaining hands‑on experience in designing, prototyping, and deploying AI workflows that leverage large language models (LLMs). The stint lasts for six months and offers a performance‑based pre‑placement offer (PPO) for high‑achieving candidates, making it an ideal launchpad for a career in generative AI. Key responsibilities include: 1. Designing and implementing AI workflows powered by LLMs such as OpenAI GPT, Claude, or Mistral. 2. Crafting effective prompts and retrieval‑augmented generation (RAG) pipelines to improve answer relevance. 3. Building autonomous AI agents and automation scripts using platforms like Dify.ai. 4. Developing rapid prototypes with low‑code tools such as Cursor or Windsurf. 5. Integrating external APIs and vector databases (e.g., ChromaDB, Pinecone) into production pipelines. 6. Conducting research on emerging AI models, frameworks, and best practices. 7. Writing clean, modular Python code and maintaining version control. 8. Collaborating with cross‑functional teams to translate business requirements into technical specifications. 9. Documenting workflows, experiment results, and knowledge‑base articles for internal use. 10. Participating in code reviews, sprint planning, and demo sessions. The tech stack revolves around Python, LangChain, LlamaIndex, Hugging Face libraries, Docker, Kubernetes, and CI/CD pipelines. Interns will also get exposure to vector stores like ChromaDB and cloud services for model hosting. Successful completion of the internship can lead to a full‑time role as a Machine Learning Engineer, with clear growth paths into senior AI architect or product lead positions. Joining eTeam offers the chance to work on real‑world AI products, learn from seasoned mentors, and be part of a vibrant community that values continuous learning and innovation.