Job Description

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