Website:
exzelon.com
Job details:
Exzelon Solutions is a fast-growing AI solutions company headquartered in the US, with a delivery center in Hyderabad, India. We build cutting-edge Artificial Intelligence products and services for mid-to-large enterprises across industries including FinTech, Healthcare, Insurance, Retail, and SaaS. This is not a bench role, you will own end-to-end AI solutions, work directly with US clients, and shape the technical direction of our growing AI practice.
Job Title: Senior AI Engineer
Experience: 5+ Years with AI/ML Mandatory
Location: Hyderabad, India (Hybrid – 3 days office, 2 days remote)
What You’ll Do
- Design AI solutions: Deliver complete end-to-end AI systems for US enterprise clients.
- Build GenAI systems: RAG pipelines, LLM fine-tuning, multi-agent AI.
- Develop ML models: Fraud detection, churn, demand forecasting.
- Engineer AI applications: REST APIs, chat interfaces, OCR/NLP pipelines.
- Collaborate with clients: Lead discovery calls, demos, and solution design.
- Mentor juniors: Code reviews, best practices, and technical guidance.
Mandatory Skills
- Python (Expert, 5+ years)
- LangChain / LlamaIndex (RAG pipelines)
- OpenAI API / Azure OpenAI
- Vector Databases (Pinecone, Weaviate, ChromaDB)
- FastAPI, scikit-learn, XGBoost, PyTorch/TensorFlow
- SQL (advanced queries, optimization)
- Cloud (AWS SageMaker / Azure ML)
- Docker + basic Kubernetes
Good to Have
- LangGraph / AutoGen (multi-agent systems)
- Streamlit, React.js (AI apps)
- MLflow / Kubeflow (ML lifecycle)
- Power BI / Tableau (AI analytics)
- Snowflake / Databricks (data platforms)
Experience Requirements
- 5–6 years of hands-on AI/ML engineering (not just data analysis)
- 3+ production AI deployments live with real users
- 2+ end-to-end GenAI/LLM projects built from scratch
- Direct client-facing experience (preferred US clients)
- GitHub profile with visible AI projects (mandatory)
Compensation & Benefits
- ₹12–18 LPA (based on experience)
- Performance bonus up to 15%
- Health insurance (self + family)
- 5-day work week | 18 paid leaves + 10 holidays
- Fast-track to Lead/Principal Engineer within 18 months
- Company-sponsored certifications (Azure AI, AWS ML)
How to Apply
Send the following to deepak@exzelon.com or hr@exzelon.com:
- Brief summary of your most impactful AI project
- Updated resume (PDF preferred) & GitHub profile URL (mandatory)
- LinkedIn profile URL, Current & Expected CTC, and Notice Period
Fast Track: Candidates who include a short Loom video of 5-10Mins walking through one of their AI projects will be prioritized faastly.
Click on Apply to know more.