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Senior AI Engineer — GenAI Solutions

Viamagus Technologies Pvt. Ltd.

Hyderabad

4-7 years

Today

$33.7K–53.0K/yr

Full time

Onsite

Skills Required LLM

RAG

Gen AI

LangChain

LlamaIndex

LangGraph

Python

FastAPI

TypeScript

React

Next.js

AWS Bedrock

Azure AI Foundry

GCP Vertex AI

Docker

Description Senior AI Engineer role focused on building production-grade GenAI solutions and shaping client-facing AI use cases. The position combines hands-on engineering with discovery, solutioning, and enterprise delivery.

Company: Viamagus Technologies Pvt. Ltd.

Role: Senior AI Engineer — GenAI Solutions

Location: Hyderabad, India

Experience

- 4–7 years of software engineering experience
- 4–7 years of experience with production GenAI, RAG, and agentic systems work
- Real production systems experience
- Fluent written and spoken English

Responsibilities

- Design and build production GenAI applications, including LLM copilots, RAG pipelines, agentic workflows, and AI-native UX
- Engineer retrieval end to end, including chunking, embeddings, vector stores, retrieval, re-ranking, and hybrid search
- Build agents and multi-step workflows with LangGraph and LangChain
- Integrate MCP servers and agent SDKs for tool access
- Augment enterprise platforms with predictive insight, intelligent automation, and conversational UX
- Deploy solutions to AWS Bedrock, Azure AI Foundry, or GCP Vertex AI with CI/CD, observability, and guardrails
- Build evaluation harnesses and wire up LLM observability
- Bake in responsible-AI basics, including PII handling, guardrails, and audit trails




- Run client discovery workshops and translate business problems into scoped, ROI-backed AI use cases
- Demo working software to technical and business stakeholders and defend design decisions and tradeoffs
- Contribute to reusable accelerators
- Mentor junior engineers as the practice grows

Additional Responsibilities

- Work in a role with roughly 70% hands-on engineering and 30% client-facing solutioning
- Take AI use cases from discovery workshop to deployed, monitored production system
- Support enterprise clients across financial services, healthcare, insurance, retail, and SaaS
- Help build a new AI Consulting & Engineering practice
- Operate as one of the founding engineers of the practice
- Work on production systems for enterprise and Fortune 500 clients

Nice To Have

- Experience adding AI to enterprise platforms such as Clarity PPM, Medallia, ServiceNow, or Salesforce Einstein
- Deeper MLOps experience with MLflow, Weights & Biases, model monitoring, or serverless GPU
- Data and RAG infrastructure experience with ETL/ELT, CDC, orchestration, streaming, knowledge graphs, Databricks, or Snowflake
- Fine-tuning and multimodal experience with LoRA, distillation, vision, voice, or multimodal applications
- Industry domain depth in financial services, insurance, healthcare, or retail




- AI governance awareness, including NIST AI RMF and EU AI Act
- Relevant cloud AI/ML certifications

More Skills LLM-powered features, Prompt design, Structured outputs, Tool/function calling, Streaming, Chunking, Embeddings, Vector databases, Pinecone, Weaviate, pgvector, Qdrant, Retrieval, Re-ranking, Hybrid search, MCP, Agent SDKs, CI/CD, Evaluation harnesses, LLM observability, LangSmith, Langfuse, Arize, PII handling, Guardrails, Audit trails, Enterprise platforms, Clarity PPM, Medallia, ServiceNow, Salesforce Einstein, MLflow, Weights & Biases, Model monitoring, Serverless GPU, ETL/ELT, CDC, Orchestration, Streaming, Knowledge graphs, Databricks, Snowflake, LoRA, Distillation, Vision applications, Voice applications, Multimodal applications, NIST AI RMF, EU AI Act

Prepare for this role

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