PythonAI/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.
Shubham Vishwakarma
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About ideas to impacts innovation pvt ltd
About
Established in 2015, Ideas to Impacts (i2i) is a purpose-driven cutting edge global technology solutions provider, headquarter in Pune, India. i2i offers specialized technology solutions in the fields of Software Product Engineering, Digital Transformation, Cloud, IoT, Cybersecurity, SAP, Artificial Intelligence/ Machine Learning, Data Annotation, Robotic Process Automation (RPA), and other emerging technologies, across industry segments. Also, recognizing the need for a hybrid work environment in the post-pandemic world, i2i has introduced an innovative operating model as an offering, Work From Home-town (WFHT®). WFHT® aims to equip global tech providers with the ability to operate from home-town (non-metros and small towns) offices. At i2i, we deliver solutions to our global and domestic customers, through our pioneering ‘Smart Town Model (STM)’, designed to ensure, teams across i2i are equipped to deliver best-in-class service quality to our customers. In the Smart Town Model (STM), customer management, architecture, design and mentoring related functions are handled by senior associates, based out of metro cities, while engineering, development, and support related activities are performed by Talent teams based out of Tier 2 and Tier 3 towns. This helps i2i deliver enhanced value to its customer, while significantly improving the quality of life of our talent and materially transforming communities. The model focuses on a three-pronged approach, to create value for the Customers, Talent, and Community.
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