Python Jobs in India

We are looking for a GenAI Engineer (LLM Engineer) to build and scale LLM-powered SaaS applications with a secure, scalable, and high-performance architecture. In this role, you will be responsible for integrating Large Language Models (LLMs) into production applications, developing intelligent AI workflows, and building solutions that leverage Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

As an AI Integration Engineer, you will work on integrating LLM APIs, designing and optimizing RAG pipelines, managing Vector Databases, and collaborating with product and engineering teams to deliver scalable AI-powered features. You will also ensure application security, monitor performance, optimize latency and cost, and build reliable AI solutions that enhance the overall SaaS platform.

Key Responsibilities

• Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
• Design and develop Retrieval-Augmented Generation (RAG) Pipelines.
• Create and optimize Prompt Engineering workflows for AI applications.
• Build, manage, and optimize Vector Databases for efficient knowledge retrieval.
• Ensure data security, compliance, and high-performance AI architecture.
• Monitor and optimize AI model quality, latency, and operational cost.
• Collaborate with Product and Engineering teams to deliver scalable AI-powered SaaS features.

Experience Required

• 3+ years of backend development experience using Python, Go, or Node.js.
• Experience building LLM Applications using OpenAI, Claude, or Hugging Face.
• Hands-on experience with LangChain or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Experience working with Cloud Platforms (AWS, GCP, or Azure).
• Knowledge of APIs, Microservices, and Prompt Engineering.

Preferred

• Experience in FinTech or SaaS domain.
• Exposure to LLMOps and Model Fine-tuning.

Skills Required

Must Have

• Model Integration.
• Retrieval-Augmented Generation (RAG) Pipelines.
• Vector Database implementation and management.
• Security and Compliance best practices.
• AI Performance Monitoring and Optimization.

Preferred

• CI/CD for AI Applications.
• Observability for AI systems.

Education & Qualification

• B.Tech / BCA or Technical Certification.

Title : Data Engineers

Location: Ahmedabad, Gujarat

Full-Time

Experience : 3 to 6 Years

Skills Required:

• Strong experience in Python and SQL
• Hands-on experience with ETL/ELT processes and data pipelines
• Experience with cloud platforms like AWS / GCP / Azure
• Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift, etc.)
• Familiarity with tools like dbt, Airflow, or similar
• Good English communication skills
• Problem-solving mindset and ability to work in a team
• Please share an interesting list of candidates.

Good to Have:

• Experience in data modeling and performance optimization
• Exposure to real-time data processing or streaming tools
• Understanding of data governance and data quality practices

We are looking for a Language & Parsing Engineer (AST / Compiler Tooling) to build the intelligence layer that enables AI systems to deeply understand enterprise software codebases.

You will develop parsing, static analysis, and code intelligence systems that allow AI to reason about code structure, dependencies, and behavior like an experienced software engineer.

Key Responsibilities

• Build parsers, AST extractors, and symbol-resolution systems across multiple programming languages.
• Develop systems that analyze code structure, dependencies, imports, and relationships across large repositories.
• Build code intelligence capabilities based on symbols, types, scopes, and semantics.
• Develop static analysis solutions to support safe AI-driven code modifications.
• Improve performance and scalability of code analysis systems.
• Work with multiple enterprise programming language ecosystems.

Required Skills & Experience

• Strong understanding of:
• Abstract Syntax Trees (AST)
• Parsing techniques
• Symbol resolution
• Type and scope analysis
• Static analysis
• Deep experience with at least one enterprise programming ecosystem such as Java or C#.
• Understanding of build systems and dependency management.
• Strong programming skills in Python and/or TypeScript.
• Experience working with large and complex codebases.

Preferred Skills

• Experience with compiler front-ends or parsing frameworks.
• Knowledge of language servers (LSP).
• Experience with compiler internals.
• Background in developer tools, code analysis, or programming language technologies.

Work Location: Hybrid remote in Bengaluru, Karnataka