ideas to impacts innovation pvt ltd

C++ Developer / Test Engineer (GoogleTest / G-Test)

About the Role

We are seeking a highly skilled C++ Developer / Test Engineer with strong expertise in unit testing, debugging, and software quality engineering. The ideal candidate will have hands-on experience developing and executing automated test cases using GoogleTest (G-Test) and validating enterprise-grade C++ applications.

This role requires strong implementation capability, debugging maturity, and a deep understanding of software testing methodologies to improve application stability, code quality, and production readiness.

Key Responsibilities

• Design, develop, and execute unit test cases using GoogleTest (G-Test).
• Improve code coverage and ensure application reliability.
• Perform debugging, root cause analysis, and issue resolution.
• Validate server-side customizations and application behavior.
• Analyze logs and troubleshoot production and development issues.
• Collaborate with development teams to resolve defects and improve software quality.
• Support CI/CD pipelines and automation initiatives.
• Contribute to software quality, maintainability, and testing best practices.

Required Qualifications

• 3–6 years of experience in C++ development and/or testing.
• Strong hands-on experience with GoogleTest (G-Test) or similar unit testing frameworks.
• Excellent understanding of Object-Oriented Programming (OOP).
• Strong knowledge of STL, pointers, memory management, and data structures.
• Experience in debugging, log analysis, and root cause investigation.
• Familiarity with Git, Jenkins, and CI/CD workflows.
• Ability to work independently on real-world implementation and testing challenges.
• Comfortable working in a hybrid setup from Pune.

Preferred Qualifications

• Experience with Teamcenter customization or PLM applications.
• Exposure to enterprise software development environments.
• Knowledge of software quality assurance and automation practices.

What We're Looking For

• Strong practical implementation skills.
• Ownership of testing and debugging activities.
• Experience working on production-grade applications.
• Ability to analyze complex issues and drive resolutions.
• Focus on software quality, reliability, and maintainability.

Evaluation Criteria

Candidates will be assessed on:

• Practical C++ implementation capability.
• GoogleTest framework expertise.
• Debugging and problem-solving skills.
• Understanding of OOP, STL, and memory management.
• Real project ownership and execution depth.
• Code quality and testing best practices.

Senior AI/ML Engineer

📍 Pune, Maharashtra (Onsite)

💼 Experience: 6–10 Years

🕒 Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
• Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
• Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
• Design deep learning solutions including LSTM and transformer-based architectures
• Build semantic search and vector retrieval systems using modern vector databases
• Develop advanced AI workflows using LangChain and LangGraph
• Design and implement multi-agent AI systems and orchestration frameworks
• Lead AI model deployment, monitoring, optimization, and lifecycle management
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Mentor junior engineers and contribute to technical leadership initiatives
• Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

• 6–10 years of software engineering and AI/ML development experience
• Strong experience building and deploying production AI/ML systems
• Hands-on expertise with RAG architectures and semantic retrieval systems
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
• Strong knowledge of Machine Learning and Deep Learning concepts
• Hands-on experience with:
• PyTorch and/or TensorFlow
• XGBoost
• LangChain
• LangGraph
• Experience deploying AI applications in production environments
• Strong debugging, performance optimization, and troubleshooting skills
• Excellent Python programming skills
• Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

• MLflow
• Weights & Biases (W&B)
• Kubeflow
• Transformer architectures and LLM internals
• MLOps practices and model lifecycle management
• Multi-agent AI frameworks
• Cloud platforms such as AWS, Azure, or GCP
• Docker and Kubernetes
• CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

• Has successfully deployed AI solutions into production environments
• Understands enterprise-scale AI architecture and design patterns
• Has practical experience with retrieval systems and vector search
• Can independently drive AI initiatives from concept to deployment
• Enjoys solving complex engineering challenges
• Demonstrates strong ownership, leadership, and mentoring capabilities
• Thrives in a fast-paced product and engineering environment

Who Should Not Apply

• Prompt-engineering-only profiles
• Candidates with only academic or research exposure
• Tutorial/demo-level GenAI practitioners
• Engineers without production deployment experience
• Professionals lacking hands-on implementation expertise

Educational Qualification

• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
• Master's degree is a plus

Work Location

📍 Pune, Maharashtra (Onsite)

Hiring Preference

• Immediate joiners preferred
• Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

Software Engineer – Teamcenter (C/C++)

Location: Pune, Maharashtra

Work Mode: Work From Office (5 Days a Week)

Experience: 2–6 Years

Employment Type: Full-Time

About the Role

We are seeking a skilled Software Engineer with hands-on Teamcenter development experience and strong C/C++ programming expertise to join our engineering team in Pune.

The ideal candidate will be responsible for Teamcenter customization, server-side development, enterprise PLM implementations, and system integrations. This role offers an opportunity to work on challenging enterprise applications while contributing to scalable and high-performance PLM solutions.

Key Responsibilities

• Develop and customize Teamcenter applications using C/C++ and ITK.
• Design, develop, and maintain Teamcenter server-side customizations.
• Implement enhancements and custom solutions for enterprise PLM environments.
• Configure and customize Teamcenter modules based on business requirements.
• Develop and support integrations with enterprise systems and third-party applications.
• Troubleshoot, debug, and resolve technical issues within Teamcenter environments.
• Participate in technical discussions, code reviews, and solution design activities.
• Optimize application performance and contribute to continuous improvement initiatives.

Required Skills

• 2–6 years of hands-on Teamcenter development experience.
• Strong programming skills in C and/or C++.
• Experience with Teamcenter ITK development and server-side customization.
• Good understanding of software development principles and best practices.
• Experience working on enterprise application development projects.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work independently and collaborate effectively within a team.

Preferred Skills

• Active Workspace (AWC) customization and development.
• BMIDE configuration and customization.
• Teamcenter Workflow customization.
• Product Lifecycle Management (PLM) domain knowledge.
• Integration experience with NX, CATIA, SAP, or other enterprise systems.
• Exposure to Teamcenter administration activities.

Educational Qualification

• B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Mechanical Engineering, or a related discipline.

Candidate Profile

We are looking for professionals who:

• Have hands-on experience in Teamcenter customization and development.
• Possess strong C/C++ programming capabilities.
• Have worked on enterprise PLM implementation projects.
• Enjoy solving technical challenges and building scalable solutions.
• Are eager to grow their expertise in Teamcenter and PLM technologies.

Interview Process

1. Role Alignment Assessment
2. Technical Screening (Teamcenter + C/C++)
3. In-Person Technical Interview at Pune Office

Additional Information

• Candidates based in Pune or willing to relocate are preferred.
• Candidates with immediate to short notice periods will be given preference.
• This is a full-time Work From Office opportunity based in Pune.

Join us and contribute to building robust enterprise PLM solutions using Teamcenter and C/C++.

AI/ML Engineer (GenAI | LangChain | RAG | Python)

Location: Pune (Onsite/Hybrid)

Experience: 1–3 Years

Employment Type: Full-Time

About the Role

We are looking for a passionate and hands-on AI/ML Engineer to join our growing engineering team. This role focuses on building production-grade AI-powered applications using modern Generative AI frameworks, Large Language Models (LLMs), backend technologies, and orchestration workflows.

The ideal candidate should have strong Python development skills along with practical experience working with LangChain, LangGraph, Vector Databases, Embeddings, and Retrieval-Augmented Generation (RAG) architectures. You will collaborate with senior engineers to design, develop, and deploy scalable AI solutions for enterprise applications.

Key Responsibilities

• Develop and maintain AI-powered applications using Python and FastAPI.
• Design and implement LangChain and LangGraph-based LLM workflows.
• Build and manage Vector Database integrations for embeddings and semantic search.
• Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent applications.
• Create reusable backend APIs and AI orchestration services.
• Write clean, maintainable, and production-ready code.
• Collaborate with engineering teams on AI solution architecture and implementation.
• Participate in code reviews, debugging, testing, and performance optimization.
• Integrate AI services into enterprise software applications.
• Contribute to prompt engineering, embedding optimization, and workflow improvements.

Required Skills

• 1–3 years of hands-on software development experience.
• Strong proficiency in Python programming.
• Experience building REST APIs using FastAPI.
• Hands-on experience with LangChain and LangGraph.
• Understanding of Large Language Models (LLMs) and prompt engineering.
• Experience working with Vector Databases and embedding-based search.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Git and CI/CD practices.
• Strong debugging, analytical, and problem-solving skills.
• Understanding of software engineering best practices and clean coding principles.

Preferred Skills

• Exposure to AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Understanding of AI Agent workflows and autonomous systems.
• Basic knowledge of Machine Learning concepts.
• Experience with embedding optimization and inference pipelines.
• Familiarity with scalable AI backend architectures.
• Exposure to enterprise AI integrations and deployment workflows.

Ideal Candidate Profile

• Engineers with hands-on experience building AI-powered applications.
• Developers working on GenAI, LLM, Agentic AI, or RAG-based solutions.
• Python backend developers looking to transition into AI Engineering.
• Candidates with practical implementation experience using LangChain and Vector Databases.
• Engineers passionate about building scalable, production-grade AI systems.

Eligibility Criteria

• Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 1–3 years of professional development experience.
• Strong coding, debugging, and problem-solving capabilities.
• Ability to work from Pune office as per business requirements.

Important Note

This is a practical implementation-focused role. Candidates will be evaluated based on real-world AI engineering experience, project ownership, debugging maturity, and practical understanding of AI workflows. Tutorial-only exposure to GenAI tools, LangChain, or LLMs will not be considered sufficient.

If you're excited about building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, we'd love to hear from you.