Generative AI Engineer
First seen by Alion on Sep 9, 2026.
Role Overview :
As a GenAI Engineer, you'll be responsible for designing, implementing, and optimizing generative AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and related technologies. You will work closely with cross-functional teams including product, ML researchers, and platform engineers to deliver scalable and intelligent systems.
Total Experience : 0 - 1 years
Key Responsibilities :
- Develop and deploy LLM-based applications using APIs or open-source models like OpenAI, Claude, LLaMA, Mistral, etc.
- Design and implement RAG pipelines combining LLMs with structured or unstructured data.
- Fine-tune and prompt engineer LLMs to align with product requirements.
- Optimize inference pipelines for latency and throughput.
- Collaborate with DevOps and platform teams to build robust and scalable infrastructure.
- Stay up to date with the latest trends and advancements in generative AI.
Requirements :
- Bachelor's or Master's in Computer Science, AI/ML, or a related field.
- 1+ years of experience working with LLMs, transformers, or NLP-based systems.
- Proficiency in Python and Golang, and experience with frameworks like LangChain, LlamaIndex, or Hugging Face Transformers.
- Solid understanding of vector databases (e.g., FAISS, Pinecone, Weaviate).
- Experience integrating APIs and managing cloud-based deployments (AWS, GCP, or Azure).
- Strong problem-solving skills and the ability to work in an agile environment.
Nice to Haves :
- Familiarity with Voice AI and speech interfaces (e.g., Whisper, ElevenLabs, Vosk, or real-time TTS/STT systems).
- Experience with real-time or low-latency systems.
- Understanding of multimodal models (text + image/audio).
- Prior experience with prompt optimization or LLMOps tooling.
Skills
Machine Learning, Python, LangChain, NLP, Artificial Intelligence, Generative AI, Claude, LLama, VectorDB, Golang