Software Engineer II - AI Research Engineer
Keywords StudiosPune, Maharashtra, India
Posted June 23, 2025
Full Time
About the Company
🎮🎬 We help make video games, films, and fan favourites you’ve probably played, watched, or heard. We work behind the scenes with game developers, publishers, and entertainment companies to bring their ideas to life and keep them running smoothly. From game development and art production to audio services, localization, game testing, community support, and marketing, we’re the partner you call when you need extra hands (or brains). We are 13,000 people worldwide. Tech-savvy, AI-aware, and deeply invested in R&D. We’re adaptable, collaborative, and used to plugging into diverse teams and pipelines. Many of us grew up with games, animation, and film. We’re fans first, and that shows in how we work: with care, respect, accessibility, and safety in mind. Whether it’s building innovative experiences, meeting tight deadlines, or preserving creative vision across every language and culture, our services and proprietary tools integrate seamlessly with your team at any stage of the product life cycle. We don’t always make the headlines, but we help others get there. Among our clients: Tencent Games, Microsoft, Ubisoft, Supercell, Bandai Namco, Netflix, Amazon... #ImagineMore
Job Description
Helpshift is seeking a highly motivated AI Research Engineer to join their growing team. The role focuses on advancing open-source LLMs, embedding techniques, and vector databases. Candidates should have hands-on experience building classification models, familiar with MLOps, and have experience in the customer support industry.
Requirements
- Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
- 4+ years of experience
- Solid understanding of NLP algorithms, transformer architectures, and language model training/fine-tuning
- Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon, etc.)
- Expertise in embedding techniques (e.g., OpenAI, HuggingFace, SentenceTransformers) and their applications in semantic search and RAG
- Experience with vector databases such as Weaviate, Pinecone, FAISS, or Milvus
- Hands-on experience building NLP classification models
- Familiarity with MLOps tools (e.g., MLflow, DVC, Kubeflow) and LLMOps platforms
- Excellent problem-solving skills
- Ability to work in a fast-paced environment
Benefits
- Hybrid setup
- Worker's insurance
- Paid Time Offs
