Senior AI Engineer GenAI Solutions

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Senior AI Engineer GenAI Solutions

Viamagus Technologies Pvt. Ltd.

Hyderabad

4-7 years

Today

$33.7K53.0K/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

47 years of software engineering experience

47 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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