Associate Software Engineer [AIML]
Department: Software Development - ISPL
Designation: Associate Software Engineer
Description: As a Machine Learning & Generative AI Developer, you will be responsible for designing, developing, and deploying intelligent systems using deep learning, ML, and LLMs. You will work with RAG pipelines, agentic orchestration (LangChain, CrewAI), and tool integration for advanced data-driven solutions. The role involves creating end-to-end systems including model training, fine-tuning, evaluation, and integration into scalable applications.
Education:
BCS / MCM / MCA or BE / B.Tech in CS.
Location: Pune - Headquarters
Skills:
1. Machine Learning (Scikit-learn, sampling, model evaluation
2. Deep Learning (TensorFlow, ANN, RNN, Transformers)
3. Natural Language Processing (NLP)
4. Generative AI (LLM fine-tuning, RAG, LangChain, Vector databases)
5. Agentic Systems (CrewAI)
6. Knowledge graphs
7. Python, OOP
8. Pandas, NumPy, Seaborn, Matplotlib
9. Docker, Git
10. MLflow, Apache Airflow
Experience:
1. Developed and deployed advanced Generative AI solutions using Retrieval-Augmented Generation (RAG) pipelines and agentic frameworks like LangChain and CrewAI, enabling context-aware intelligent assistants and automation tools across business functions.
2. Engineered multi-agent systems for autonomous task execution such as regulatory compliance tracking, stock market intelligence, lead generation, and AI-driven report analysis, leveraging prompt chaining, LLM orchestration, and knowledge graphs.
3. Built end-to-end NLP applications including interactive chatbots, document summarizers, and voice-activated assistants integrated with large language models (LLMs) and domain-specific data sources.
4. Fine-tuned and evaluated language models for domain-specific tasks such as customer support, medical diagnostics, and educational guidance, ensuring optimized performance through structured experimentation using MLflow.
5. Should have built chatbots on top of traditional databases such as MariaDB.
6. Must have experience in AWS Bedrock, Lambda, API Gateways and S3 buckets.
Responsibilities:
1. Develop and maintain RAG pipelines and agent-based AI architecture
2. Fine-tune language models for specific tasks and datasets
3. Design APIs and interfaces for model interaction (e.g., chatbot, webhooks)
4. Collaborate with teams to integrate AI into business workflows
5. Conduct evaluation, and performance tuning of models
6. Research and implement cutting-edge techniques in AI and GenAI
QMS Responsibilities:
1. Participate in audits of internal management systems
2. Contribute to knowledge base and project documentation
3. Provide management input and support root cause analysis for issues
4. Adhere to organizational quality standards and continuous improvement goals