Job Description

We are looking for a Forward Deployed Engineer / AI Solutions Engineer with strong experience across Cloud, Software Engineering, Data Engineering, and Generative AI.

The ideal candidate should be comfortable owning AI applications end-to-end — from understanding business requirements and building solutions to cloud deployment, CI/CD, monitoring, and production support.

Key Responsibilities

- Design and deploy scalable AI applications on AWS/Azure.
- Build and maintain cloud infrastructure for production AI solutions.
- Develop containerized applications using Docker and implement CI/CD pipelines.
- Build robust backend APIs using Python, FastAPI, or Flask.
- Develop end-to-end AI applications with LLMs, RAG, and conversational agents.
- Build RAG pipelines involving chunking, embeddings, reranking, and hybrid search.
- Work with AWS S3, AWS OpenSearch, and cloud-based data pipelines.
- Implement document AI solutions involving PDFs, OCR, tables, images, and multimodal LLMs.
- Implement monitoring, logging, alerting, and observability for production applications.
- Follow software engineering best practices including Git, testing, code reviews, and release management.
- Work directly with business stakeholders and technical teams to understand requirements and deliver solutions.
- Participate in client-facing discussions, technical workshops, and production support.

Required Skills

- 4–6 years of qualified experience in Software / AI / Cloud Engineering.




- Strong hands-on experience with AWS or Azure.
- Strong Python programming skills.
- Experience with Docker, CI/CD, and Infrastructure as Code such as Terraform or CloudFormation.
- Experience with FastAPI / Flask and API development.
- Experience with AWS S3, AWS OpenSearch, and cloud data pipelines.
- Hands-on experience with LLMs, RAG, and Generative AI applications.
- Experience with LangChain / LlamaIndex / Hugging Face.
- Knowledge of vector databases such as Qdrant, Milvus, Pinecone, or Elasticsearch.
- Understanding of embeddings, chunking, reranking, and semantic search.
- Experience with Git, automated testing, and production deployment.
- Good understanding of monitoring/observability tools such as CloudWatch, Prometheus, Grafana, or ELK.
- Strong communication and client-facing skills.

Good to Have

- Kubernetes / EKS / AKS
- Terraform / CloudFormation
- Prometheus / Grafana / ELK / Datadog
- TypeScript / Front-end development
- PostgreSQL / MongoDB / Redis
- MCP or similar AI agent/tool frameworks
- Experience in Agentic AI / GenAI
- AWS/Azure cloud certification
- Pharmaceutical / Healthcare industry experience

Pay: ₹700,000.00 - ₹1,000,000.00 per year

Benefits:

- Paid time off
- Provident Fund

Application Question(s):

- what is your current CTC ?
- What is your expected CTC?

Experience:

- AI / Cloud Engineering: 5 years (Preferred)

Work Location: In person

📌 AI Solutions Engineer (Lalbagh)
🏢 Jobbycart Technologies
📍 Lalbagh