Intelliswift Software - Agentic AI Engineer - Python

Role : AI Engineer

Experience : 5 to 10 Years

Full time

Mode : WFO 5 Days @ Pune Office

Location : Pune

Key responsibilities :

- Translate business questions into analytic approaches and machine learning solutions.

- Design and implement end-to-end ML pipelines : data ingestion, feature engineering, model training, validation, deployment and monitoring.

- Develop, validate and productionize supervised and unsupervised models (classification, regression, ranking, time series, clustering).

- Implement model evaluation, A/B testing and performance monitoring; iterate based on results.

- Apply explainability, fairness and privacy-aware practices to model development, document assumptions and limitations.

- Collaborate with software engineering to containerize and deploy models (Docker, Kubernetes) and integrate with APIs or event-driven systems.

- Automate CI/CD for ML and analytics workflows; manage model versioning and reproducibility.

- Create clear technical documentation and present findings and recommendations to technical and non-technical stakeholders.

- Stay current with AI/ML trends and evaluate new tools and frameworks for improved outcomes.

Required qualifications :

- 4+ years of experience developing machine learning models and analytics solutions in a commercial environment (or equivalent experience).

- Strong programming skills in Python and familiarity with ML libraries such as TensorFlow.

- Experience with cloud platforms (AWS, GCP, or Azure) and at least one managed ML/data service or managed LLM offering.

- Experience with model deployment and MLOps practices (Docker, Kubernetes, model serving frameworks, CI/CD, and GitOps tooling like ArgoCD).

- Strong foundational knowledge in machine learning, including linear and logistic regression, support vector machines, decision trees, and neural networks.

- Good statistical grounding : hypothesis testing, experimental design, evaluation metrics.

- Strong communication skills; ability to explain technical concepts to business partners and influence decisions.

Strong preference :

- Demonstrable experience deploying LLMs and building RAG pipelines in production.

- Experience with cloud-managed LLM services (Vertex AI, SageMaker, Azure OpenAI) GCP familiarity is a plus.

- Experience with LangChain, LangGraph, or similar agent frameworks to build multi-agent workflows.

- Familiarity with MCP or stateful context management patterns for multi-agent systems.

Email your updated Profile to shakambari.nayak@ltts.com

(ref:hirist.tech)