Associate Software Engineer (AI/Python)

3 - 5 years

8 - 12 Lacs

Posted:4 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

AI/ML Pipeline Development & Maintenance

Design, implement, and optimize AI/ML pipelines leveraging generative models, LLMs, and advanced chatbot frameworks. Develop scalable end-to-end AI solutions while ensuring performance, reliability, and maintainability.

Conversational AI & Chatbot Development

Build, customize, and deploy intelligent conversational systems capable of handling real-world workflows. Utilize state-of-the-art large language models (LLMs) for chatbots, virtual assistants, and other NLP applications.

Integration & Optimization

Integrate agentic frameworks and LLMs into core systems, ensuring seamless functionality across platforms. Optimize model performance using prompt engineering, fine-tuning, and in-context learning techniques.

Agentic Framework Development

Develop and maintain multi-agent orchestration frameworks for autonomous task completion and context-aware interactions. Explore and implement LangChain, LlamaIndex, CrewAI, Agent.ai, Pydantic AI, LangFlow, AutoGen, and similar frameworks.

Collaboration & Cross-functional Engagement

Work closely with Data Science, Product, and UX teams to translate business requirements into AI-driven solutions. Participate in code reviews, technical discussions, and knowledge-sharing sessions.

Code Quality & Best Practices

Write clean, maintainable, and well-documented Python code following SOLID principles and OOP best practices. Advocate for best practices in code reviews, testing, and documentation.

Security & Compliance

Ensure adherence to enterprise security practices and HTTPS protocols when designing and deploying web services. Implement access controls, data encryption, and API security best practices.

Research & Innovation

Stay up to date with advancements in Generative AI, LLMs, agentic frameworks, and chatbot technologies. Assess and adopt emerging AI techniques and frameworks for continuous improvement.

Education

BE/BTech/MTech/MCA/MCS/MCM or any related discipline.

Programming & AI Development

Strong Python programming skills, including experience with AI-related libraries and frameworks. Experience developing and deploying Generative AI models in production. Proficiency in AI/ML model development, NLP, and chatbot technologies.

Chatbot & Conversational AI Frameworks

Hands-on experience with chatbot platforms, RASA, or enterprise NLP solutions. Understanding of real-time, interactive user experiences for AI-driven systems.

AI/ML Tools & Frameworks

Familiarity with TensorFlow, spaCy, Google Cloud ML, or similar AI/ML tools. Experience in NLP pipeline development and optimization.

Web Services & API Development

Proficiency in RESTful API development and third-party integrations. Strong understanding of HTTPS, authentication mechanisms, and enterprise security best practices.

Django & Web Development

Experience with Django or similar Python-based web frameworks. Understanding of data structures, relational databases, and NoSQL databases (e.g., MongoDB, PostgreSQL).

Cloud & DevOps

Basic familiarity with AWS, GCP, or Azure for deploying AI/ML models and web services. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-based AI deployments.

Object-Oriented Programming & SOLID Principles

Strong grasp of OOP principles and ability to implement SOLID design patterns.

Preferred Skills

Generative AI & LLMs

Experience working with GPT, Claude, Gemini, Mistral, LLaMA, or similar LLMs. Background in text generation, summarization, question-answering, or other NLP applications.

Agentic Frameworks & Autonomous AI Systems

Knowledge of multi-agent orchestration and autonomous task management. Hands-on experience with LangChain, LlamaIndex, CrewAI, Agent.ai, Pydantic AI, LangFlow, AutoGen, or similar frameworks.

Prompt Engineering

Expertise in prompt optimization, in-context learning, and fine-tuning strategies for LLMs.

Conversational AI & AI Assistants

Experience in developing AI-driven assistants, task automation, and real-world AI applications.

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