Design and deploy AI solutions for clients, integrating with enterprise systems and cloud services. Develop and implement LLM, RAG, automation, and API-based solutions. Drive adoption through testing, documentation, and user enablement.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Must Have Technical/Functional Skills
1. Programming & Full-Stack Development: Python (Must-have), SQL (Must-have), Java/.NET/Angular (Any one full stack (Must – have)
2. APIs & Integration: REST APIs, GraphQL, OAuth, JWT, Microservices, Middleware
3. Cloud & Infrastructure: AWS, Azure, GCP, EC2, Azure VM, Cloud Run, S3, Blob, BigQuery, Docker, Kubernetes, Terraform
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4. AI / ML & GenAI: OpenAI, Anthropic, Vertex AI, RAG, Prompt Engineering, Pinecone, Weaviate, Chroma, LangChain, LlamaIndex
5. DevOps & Observability: CI/CD, Prometheus, Grafana, Logging, Performance tuning
Roles & Responsibilities
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1. Convert client business problems into clear AI use cases, technical designs, and delivery plans.
2. Build and deploy LLM, RAG, automation, and API-based solutions in client environments.
3. Integrate AI solutions with enterprise systems, data platforms, security controls, and cloud services.
4. Drive adoption through testing, documentation, user enablement, and continuous improvement.
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