AI Engineer
- For Career Direction
- Work From Home
- 0 to 3 Years
Key Responsibilities
- Build, fine-tune, and integrate Large Language Models (OpenAI, Claude, Llama, etc.)
- Develop RAG pipelines, vector search workflows, and embedding models
- Create conversational AI agents, copilots, and workflow-driven automation tools
- Implement GenAI-powered features across SaaS modules (CRM, HRMS, ERP, etc.)
- Work with structured and unstructured data: PDFs, documents, images, audio
- Build real-time inference pipelines and optimize model performance
- Integrate AI models with backend services using Node.js, Python, or cloud functions
- Implement document extraction, OCR, text classification, and summarization systems
- Collaborate with product and engineering teams to convert ideas into AI features
- Evaluate new LLMs, open-source models, and fine-tuning approaches
- Maintain CI/CD pipelines for ML workloads (nice to have)
Must-Have Skills
- Strong hands-on experience in GenAI: LLMs, embeddings, RAG, fine-tuning
- Mandatory hands-on coding skills in Python
- Experience with OpenAI, HuggingFace Transformers, LangChain, LlamaIndex, or similar frameworks
- Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Supabase Vector
- Experience building chatbots, copilots, or AI assistants
- Understanding of NLP, tokenization, and prompt engineering
- Experience deploying models on AWS, Azure, or GCP
- Strong understanding of REST APIs and backend integration
- Excellent debugging and problem-solving capability
Good to Have
- Experience with multimodal models (image + text)
- Exposure to structured business workflows (CRM/HRMS/ERP)
- Knowledge of GPU optimization and inference acceleration
- Familiarity with FastAPI, Flask, or Node-based backend frameworks
- Experience with datasets, labeling, and fine-tuning pipelines
Performance bonuses and project-based incentives are available.
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.
