Generative AI Engineer
- For Career Direction
- Work From Home
- 0 to 3 Years
Key Responsibilities
- Assist in building and integrating Generative AI solutions using LLMs and RAG-based architectures.
- Develop and test prompts, prompt templates, and basic prompt design patterns.
- Support implementation of AI features such as chatbots, copilots, and automation workflows.
- Work with senior engineers to deploy AI models on cloud platforms.
- Perform data preparation, embedding generation, and vector database integration.
- Collaborate with product and business teams to understand functional requirements.
- Ensure basic security, data privacy, and compliance guidelines are followed.
Must-Have Skills
- Strong fundamentals in Python and software development concepts.
- Hands-on exposure to Generative AI frameworks (LangChain, LlamaIndex, OpenAI SDKs, etc.).
- Understanding of LLM concepts, embeddings, tokenization, and inference.
- Basic knowledge of RAG pipelines and vector databases (FAISS, Pinecone, Chroma, etc.).
- Familiarity with SQL and basic NoSQL databases.
- Exposure to at least one cloud platform (AWS / Azure / GCP).
- Good communication skills and ability to learn fast.
Good to Have
- Exposure to fine-tuning concepts (LoRA, adapters – conceptual level).
- Understanding of AI ethics, bias, and responsible AI basics.
- Familiarity with Git, CI/CD basics, and containerization (Docker).
- Internship or project experience deploying AI apps end-to-end.
About the job
Here, opportunities come in two ways — roles within Career Direction and roles for our client requirements. Most internal positions are Work From Home, providing flexibility, comfort, and a balanced work environment. Client-based roles may require Hybrid or Work From Office setups depending on project demands, collaboration needs, and company policies. This structure allows candidates to explore a wide range of opportunities and apply for roles that best align with their skills, preferences, and long-term career goals.
Career Direction benefits apply only to Career Direction employees and may include health and wellness support, financial wellbeing programs, flexibility and time off, family care assistance, community involvement opportunities, and personal development support. These benefits, along with growth opportunities, are provided based on factors such as performance, dedication, skill level, assessment results, and available projects. Offerings may vary as they depend on organizational policies, project requirements, and client expectations.
Note: Salary range information is omitted as it applies to US-based roles, and compensation details will be discussed during the interview.
