WalkingTree Technologies
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Chandigarh · On-site · 7-10 Yrs · 4 days ago
201 to 500 Employees · Hyderābād, India
Hiring: Engineering
What employees say
+ Nothing as per my experiance
− No Job security And Higher post capture by family member so you can say no, you said yes either results anything
More reviews on the company profile.
Interview experience · Team Lead
Honestly, the interview felt a bit different from what I expected. It was for an Angular Lead role, but most of the discussion was around HTML and CSS fundamentals. They also asked questions about React, Node.js, and Mon
Difficult difficulty · Āgra, Uttar Pradesh · 6 reports
More interview insightsJob description
Overview
Total Exp - 7+ Years
Responsibilities
- Design and develop multi-agent LLM applications using frameworks like LangGraph and CrewAI.
- Build, configure, and orchestrate intelligent agents and tools for autonomous task execution.
- Implement RAG (Retrieval-Augmented Generation) and Agentic RAG pipelines to augment LLMs with external data sources.
- Develop and fine-tune prompts to support Chain of Thought and step-wise reasoning.
- Integrate vector databases (e.g., FAISS, Pinecone, Chroma) for context retrieval.
- Collaborate with frontend/backend teams to embed GenAI capabilities into products.
Qualifications
- Desired skills - Python, AI, ML,GenAI,Agentic AI,LLM
- Domain (Industry) - Financial and Wealth management
- Job Summary
- We are seeking a passionate and skilled Generative AI Engineer with 7+ years of experience in building LLM-based applications. The ideal candidate should have hands-on experience with multi-agent frameworks (LangGraph, CrewAI), agent orchestration, RAG pipelines, and Chain of Thought (CoT) reasoning to develop intelligent, context-aware systems.
- Strong programming experience with Python.
- Hands-on with LangGraph, CrewAI, LangChain, or other agent frameworks.
- Solid understanding of LLMs, prompt engineering, and tool invocation patterns.
- Experience with RAG, vector databases, embeddings, and document chunking.
- Knowledge of Chain of Thought prompting, memory handling, and agent planning logic.
- Familiarity with OpenAI, Hugging Face, or other LLM APIs.
Nice to have
- Experience deploying GenAI apps with FastAPI, Streamlit, or React.js.
- Understanding of semantic search, knowledge graphs, or graph databases.
- Exposure to MLOps, Docker, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure).
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Python Generative AI Developer at WalkingTree Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. WalkingTree Technologies may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Python Generative AI Developer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Python Generative AI Developer remote or on-site in Chandigarh?
- This listing is marked on_site with location Chandigarh. Confirm details on the job description before applying.
- What skills matter for this Python Generative AI Developer role at WalkingTree Technologies?
- This is a mid-level Python Generative AI Developer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.