akurdi pune maharashtra software integration engineer Jobs – 33 Open Jobs Today

Senior AI Lead
PinnacleU —Baner, Pune, Maharashtra
- ₹40,00,000 - ₹45,00,000 a year
- Full-time
- Salesforce
- Java
- Master's degree
Quick apply
2d
QA Automation Engineer (TestComplete)
SolidCAM —Baner, Pune, Maharashtra
- ₹3,24,855.92 - ₹13,88,484.97 a year
- Full-time
- Computer Science
- CAD
- English
- Paid time off
- Flexible schedule
Quick apply
Senior engineer - Suspension
Mahindra & Mahindra Ltd —Chakan, Pune, Maharashtra
- Microsoft Powerpoint
- System design
- Microsoft Office
6d
Apriso Lead Developer
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Oracle
- Computer Science
- Bachelor's degree
PPL- MStar Platform
Mahindra & Mahindra Ltd —Chakan, Pune, Maharashtra
- Full-time
- Microsoft Excel
- ERP systems
- Analysis skills
Apriso Developer
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Oracle
- JavaScript
- Manufacturing
AV programmer/Sr programmer
GoldenHire Consultancy —Wadgaon, Maharashtra
- Full-time
- B.Sc
- System design
- English
Quick apply
Senior Design Engineer
Nihva Technologies Pvt Ltd —Pimpri, Pune, Maharashtra
- Full-time
- AutoCAD
- Schematics
- CAD
Quick apply
Senior Test Automation Engineer / SDET
Codevian Technologies —Baner, Pune, Maharashtra
- Master's degree
- APIs
- AI
8d
Production Design engineer
Uplife Design Furniture Pvt Ltd —Kelawade, Pune, Maharashtra
- ₹15,000 - ₹25,000 a month
- Full-time
- AutoCAD
- Project management
- Bachelor's degree
- Health insurance
- Paid time off
Quick apply
QA Engineer
HubEngage —Baner, Pune, Maharashtra
- Email
- Engineering
- Windows
- Bachelor's degree
Senior DevOps Software Engineer
Nitor Infotech —Pimpri-Chinchwad, Maharashtra
- Azure
- Computer Science
- DevOps
Quick apply

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Senior AI Lead

PinnacleU
Baner, Pune, Maharashtra

Quick apply

Job details

Full-time
₹40,00,000 - ₹45,00,000 a year
2 days ago

Qualifications

CI/CD
Node.js
Law
Enterprise Software
Salesforce
Encryption
Java
Master's degree
Scala
Continuous integration
APIs
AI
Python

Full job description

Position: Senior AI Lead – Document, Conversational & Data Intelligence

Location: Baner, Pune

Working Days: 5 days

Experience Required: 7+ Years

Role Overview

Our Client is hiring a Senior AI Lead to own and scale our AI stack across document intelligence, conversational intelligence, and data intelligence. You will turn prototypes into robust, production-grade capabilities that integrate deeply with customer systems and meet strict standards for scale, reliability, and security.

You will work closely with product and engineering leadership, lead a small high-performing AI team, and directly influence how universities and institutions experience Our Client’s platform.

Key Responsibilities

1. AI Strategy & Architecture

Define and own the end-to-end AI architecture across document, conversational, and data intelligence.

Design multi-tenant, cloud-native AI services optimized for performance, cost, and reliability.

Establish standards for prompt engineering, tool/agent orchestration, RAG, fine-tuning, evaluation, and monitoring.

Translate product requirements into clear technical designs, milestones, and delivery plans.

2. Document Intelligence

Lead design and implementation of document understanding pipelines for transcripts, forms, financial docs, policies, and knowledge bases.

Build capabilities for OCR, layout analysis, entity extraction, classification, validation, and summarization.

Implement retrieval-augmented generation over large document corpora, including indexing, chunking, and relevance tuning.

Define quality metrics and automated evaluation suites to continuously improve accuracy, robustness, and latency.

3. Conversational Intelligence

Own the architecture of production-grade chat and voice assistants across web, mobile, and telephony channels.

Design agentic workflows combining LLMs, tools/APIs, memory, and business rules to support complex student and staff journeys.

Implement guardrails, policies, and UX patterns to minimize hallucinations and ensure safe, compliant responses.

Set up a rigorous evaluation framework for conversation quality, containment, user satisfaction, and escalation performance.

4. Customer System Integrations

Architect and oversee integrations with customer CRMs, SIS, telephony, and data platforms (e.g., Salesforce, contact centers, data warehouses).

Define API and event-driven integration patterns for both real-time and batch scenarios.

Ensure AI features respect tenant boundaries, roles/permissions, and customer-specific configurations.

Partner with solutions/implementation teams to make deployment repeatable, configurable, and maintainable across institutions.

5. Data Intelligence & Analytics

Collaborate with data engineering to design data models and pipelines that power AI features and insights.

Lead development of models and heuristics for scoring, routing, prioritization, and personalization based on behavioral and conversational signals.

Define and maintain dashboards and KPIs for AI performance, adoption, and business impact.

Drive an experimentation culture with A/B tests, staged rollouts, and data-driven iteration.

6. Production, Scale & Security

Ensure all AI services meet enterprise standards for uptime, resiliency, and observability.

Define and enforce best practices for logging, tracing, alerting, and model/service health monitoring.

Work with security and compliance teams to align with data privacy regulations, including encryption, access control, and data retention policies relevant to education.

Implement robust processes for model and configuration versioning, canary deployments, and safe rollbacks.

7. Leadership & Collaboration

Lead and mentor AI/ML engineers, data scientists, and AI application engineers.

Collaborate closely with product, platform engineering, implementation, and customer success to ensure AI capabilities deliver real outcomes.

Participate in key customer meetings to understand requirements, shape solutions, and represent Our Client’s AI strategy.

Contribute to hiring, career development, and setting the technical bar for AI roles at Our Client.

Required Experience

6–10 years of experience in software engineering and/or applied ML, with at least 4–5 years focused on building AI products.

Proven track record of taking AI solutions (LLM or traditional ML) from PoC to production in a SaaS or enterprise environment.

Hands-on experience with:

Large language models and orchestration (prompting, tools, agents, RAG).

Document understanding (OCR, layout, extraction, classification, semantic search).

Conversational AI (chatbots, voicebots, agent assist) with measurable outcomes.

Strong programming skills in one or more of: Python, Node.js, Java/Scala (or similar).

Experience designing and operating cloud-native services (containers, CI/CD, infrastructure as code).

Experience integrating with enterprise systems such as CRMs, telephony platforms, and data platforms.

Familiarity with security and compliance considerations in regulated industries (education, healthcare, finance, or similar).

Quick apply

Refine Your Search

software integration engineer jobs in akurdi pune maharashtra

Senior AI Lead

QA Automation Engineer (TestComplete)

Senior engineer - Suspension

Apriso Lead Developer

PPL- MStar Platform

Apriso Developer

AV programmer/Sr programmer

Senior Design Engineer

Senior Test Automation Engineer / SDET

Production Design engineer

QA Engineer

Senior DevOps Software Engineer

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