
Overview
Qualifications:
· Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience).
· 2+ years of experience in software development or applied machine learning (including internships, research, or open-source contributions).
· Proven hands-on experience working with LLM APIs
· Practical exposure to embeddings, vector databases, and RAG workflows.
· Experience using core frameworks such as LangChain, LangGraph, LiteLLM, or Ollama.
· Proficiency in Python and familiarity with AI/ML libraries such as Hugging Face Transformers or PyTorch.
· Understanding of prompt engineering, output parsing, and function/tool calling with LLMs.
· Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and semantic retrieval techniques.
· Basic understanding of structured outputs using Pydantic or JSON schema.
· Experience with LLM observability tools like LangSmith, LangFuse, Opik, etc.
· Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.)
· Experience building or contributing to agentic workflows, multi-step LLM tools, or stateful AI agents is a Plus.
· Awareness of ethical AI challenges, bias mitigation, and model evaluation techniques is a Plus.
· Contributions to open-source AI projects or technical writing in the GenAI space is a Plus.
· Strong analytical and problem-solving abilities.
· Excellent communication and collaboration skills across technical and non-technical teams.
· Excellent verbal and written English communication skills.
· High attention to detail, curiosity, and willingness to experiment and learn.
Job Type: Full-time
Pay: ₹150,000.00 - ₹170,000.00 per month
Schedule:
- Day shift
- Rotational shift
Experience:
- LangChain: 3 years (Preferred)
- RAG : 3 years (Preferred)
- Hugging Face : 3 years (Preferred)
Work Location: Remote