Senior Agentic AI and Data Engineer

Ennovision Technology Solutions

Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

20 hours ago

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Job summary

Ennovision Technology Solutions is seeking a Senior Agentic AI & Data Engineer who blends production-grade data engineering experience with hands-on building of LLM and Agentic AI solutions.

The role involves moving between data pipelines, APIs, LLMs, RAG architectures and autonomous/multi-agent workflows, taking solutions from proof of concept to production.

Qualifications

Experience in designing and developing Agentic AI applications.
Experience with building multi-agent and single-agent systems.
Ability to ingest, transform, and serve enterprise data for AI/LLM workloads.
Knowledge of retrieval architectures, embeddings and vector databases.
Familiarity with production-grade data pipelines and cloud cost optimization.

Responsibilities

Design and develop Agentic AI applications that can reason, retrieve information, invoke tools/APIs and execute multi-step workflows.
Build and orchestrate single-agent and multi-agent systems, including tool calling, state management, memory, routing and human-in-the-loop patterns.
Develop production-grade LLM and RAG applications using structured and unstructured enterprise data.
Design efficient retrieval architectures using embeddings, vector databases, metadata filtering, reranking and contextual retrieval.
Build scalable batch, streaming and real-time data pipelines to supply trusted enterprise data to AI applications.
Develop data ingestion, transformation, validation, deduplication and enrichment pipelines.
Integrate agents with enterprise systems, databases, APIs, data warehouses and event-driven platforms.
Implement evaluation, observability and monitoring for Agentic AI systems, including response quality, latency, and cost.

Skills

Agentic AI

LLM development

RAG architectures

Prompt engineering

Vector search

Observability

AWS cloud

Python

Data engineering

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI platform

Claude platform

Gemini platform

Snowflake

Databricks

Job description

Company Description Ennovision Technology Solutions is a global IT services and consulting company that helps enterprises reimagine and realign their businesses to stay ahead in the digital age. The organization delivers value through custom software development, flexible delivery models, and tailored solutions aligned with clients’ strategic and commercial goals. Continuous innovation and a strong focus on customer success are central to the company’s culture, measured by quality of deliverables, time to market, ROI, and cost optimization. Ennovision’s portfolio spans Salesforce strategy and implementation, e-commerce and m-commerce platforms, enterprise architecture consulting, cloud services, data science, AI and ML, big data and analytics, QA services, and outsourcing/offshoring.

Senior Agentic AI & Data Engineer

Experience:6–10 years

Role Type:Senior Engineer / Lead Engineer

Primary Skills:Python, Data Engineering, LLMs, Agentic AI, RAG, Cloud

Role Overview

We are looking for aSenior Agentic AI & Data Engineerwho combines strong, production-grade data engineering experience with hands‑on expertise in building LLM and Agentic AI solutions.

This is not a pure Data Engineering role and is not a prompt-engineering role. We are looking for an engineer who understands how enterprise data is ingested, transformed, governed and served — and can build intelligent agents and AI-driven workflows on top of that data ecosystem.

The ideal candidate should be comfortable moving betweendata pipelines, APIs, LLMs, RAG architectures and autonomous/multi‑agent workflows, taking solutions from experimentation through to production.

Key Responsibilities

Design and developAgentic AI applicationsthat can reason, retrieve information, invoke tools/APIs and execute multi-step workflows.
Build and orchestratesingle-agent and multi-agent systems, including tool calling, state management, memory, routing and human-in-the-loop patterns.
Develop production-gradeLLM and RAG applicationsusing structured and unstructured enterprise data.
Design efficient retrieval architectures using embeddings, vector databases, metadata filtering, reranking and contextual retrieval.
Build scalablebatch, streaming and real‑time data pipelinesto supply trusted enterprise data to AI applications.
Develop data ingestion, transformation, validation, deduplication and enrichment pipelines.
Integrate agents with enterprise systems, databases, APIs, data warehouses and event‑driven platforms.
Implement evaluation, observability and monitoring for Agentic AI systems, including response quality, hallucination, latency, cost and agent/tool failures.
Design guardrails and validation mechanisms to ensure agents operate reliably within defined business processes.
Optimise data and AI workloads for performance, reliability, scalability and cloud cost.
Work closely with business, product and engineering teams to identify processes whereagents can replace or automate manual data and operational workflows.
Take ownership of solutions from initial POC through engineering, deployment, monitoring and production optimisation.

Essential Technical Skills

Agentic AI & Generative AI

Strong hands‑on experience with:

LLM-powered application development
Agentic workflows and tool/function calling
RAG architectures
Prompt and context engineering
Structured LLM outputs
Vector search and embeddings
LLM evaluation and observability
OpenAI, Claude, Gemini or equivalent enterprise LLM platforms
Frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent

Candidates should understand the engineering challenges involved in moving an Agentic AI solution from a successful demonstration into areliable production system.

Data Engineering

Strong experience with: