
AI Engineer
1 week ago
About the Role:
We're looking for an
AI Engineer
with hands-on experience in building applications using
LangChain
and
Large Language Models (LLMs)
. You'll be part of a growing AI team focused on developing intelligent, scalable, and production-ready solutions using state-of-the-art LLM frameworks.
Key Responsibilities:
- Design and develop AI-driven applications using
LangChain
and
LLM APIs
(e.g., OpenAI, Anthropic, Cohere). - Build and manage
RAG pipelines
using tools like
vector databases
(e.g., Pinecone, FAISS, Weaviate). - Implement
prompt engineering strategies
for performance and accuracy. - Integrate LLMs with external tools, APIs, and agent frameworks.
- Work with structured and unstructured data to fine-tune or optimize LLM outputs.
- Collaborate with product, engineering, and design teams to bring AI features to life.
- Optimize model performance, latency, and cost-efficiency.
Required Qualifications:
- 1.5+ years of experience in LangChain (Compulsory).
- Proven experience with Python, LangChain, LangGraph and LangSmith (or similar LLM application frameworks).
- Practical experience building AI/ML-driven applications, such as chatbots, RAG pipelines, or agent workflows.
- Comfortable working with REST APIs, databases, and cloud services.
- Strong communication skills (both written and verbal).
- Self-motivated and capable of working both independently and collaboratively.
- Willingness and ability to mentor junior developers.
Preferred Qualifications:
- Experience with vector stores such as Pinecone, FAISS, or Weaviate.
- Familiarity with LLM providers like OpenAI, Anthropic, or Cohere.
- Previous experience in a startup or fast-paced product development environment.
Preferred Qualifications:
- Experience with vector stores such as Pinecone, FAISS, or Weaviate.
- Familiarity with LLM providers like OpenAI, Anthropic, or Cohere.
- Previous experience in a startup or fast-paced product development environment.
Why Join Us?
- Work on exciting AI-first products and shape the future of intelligent automation.
- Collaborative and supportive team environment.
- Opportunity to lead and grow with the team.
- Competitive compensation and flexible working arrangements.
Perks & Benefits:
· Annual Increment
· Medical Inpatient
· Outpatient Facility
· Annual Leaves
· Provident Fund
· Monthly Team Lunch
· Company Sponsored Trips
· Training & Development program
· Bike Finance Program
· Loan Facility
· Punctuality Bonus
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