Calsoft - Generative AI Engineer

Job Description :

Position : AI/ML Software Engineer

Location : Bangluru/ Pune/ Indore

Experience : 3 to 7 Years

Notice Period : Immediate to 15 Days Max

Position Overview :

We are seeking a motivated AI/ML Engineer to build reliable, scalable systems and Generative AI and Agentic AI features, and build and deploy data-driven solutions for our document-based compliance management platform. This role requires a technical expert who can develop, deploy, and maintain ML systems in production environments.

Key Responsibilities :

- Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and inference pipelines with optimization of latency and cost.

- Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks.

- Integrate comprehensive LLM evaluation frameworks with development and production systems.

- Build and operate end-to-end MLOps pipelines, deployment systems, monitoring, and rollbacks.

- Design, develop, and train predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time-series forecasting.

- Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows.

- Implement explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence.

- Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders.

Required Qualifications :

Technical Skills :

- Python (5+ years) : Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest.

- SQL : Advanced proficiency with complex queries, window functions, and optimization.

- Machine Learning & NLP : Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis.

- Generative AI & LLMs : Hands-on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Elasticsearch, Pinecone, Weaviate, Chroma).

- MLOps & ModelOps : End-to-end experience with ML pipelines, model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization.

- LLM Evaluation : Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human-in-the-loop validation.

- Cloud & AWS : Experience with AWS services including Bedrock, Bedrock AgentCore Runtime, SageMaker, S3, Lambda, EC2, and CloudWatch.

- Statistics & Experimentation : Strong foundation in statistics, A/B testing, causal inference, and experimental design.

- Visualization : Proficiency with Tableau, Power BI, or Python visualization libraries.

Experience & Education :

- 5+ years in data science, ML engineering, or related roles.

- 3+ years building NLP/generative AI applications and implementing MLOps in production.

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

- Track record of deploying ML systems processing large-scale datasets with proper monitoring and governance.

Preferred Qualifications :

- Experience with agentic AI frameworks (Strands Agents, LangGraph, LangChain, AutoGen, CrewAI).

- Experience with AWS Bedrock, AWS Bedrock AgentCore.

- Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems.

- Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus).

- Experience with LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training.

- Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA).

- Experience working in agile environments with Jira.

- AWS ML certifications or similar credentials.

Key Competencies :

- Strong communication skills explaining complex models to technical and non-technical audiences.

- Ability to work independently and collaboratively in fast-paced environments.

- Proven ability to convert POCs into production-grade solutions.

- Understanding of ethical AI and building trustworthy, explainable systems for regulated environments.

What You'll Build :

- LLM evaluation frameworks ensuring 95%+ accuracy for compliance-critical features.

- Prompts for LLMs to achieve specific, high-quality outcomes.

- Agentic AI systems autonomously handling document review and compliance workflows.

- GenAI document understanding features processing millions of regulatory documents.

- Predictive models identifying compliance risks before they occur.

- Real-time semantic search and explainable ML systems meeting regulatory requirements.

- Production MLOps pipelines supporting dozens of models with automated monitoring and retraining.

Growth Opportunities :

- Drive adoption of emerging AI technologies and establish best practices.

- Mentor ML engineers.

- Shape AI/ML roadmap and establish center of excellence for compliance AI.

- Collaborate with product leadership on long-term vision for AI-powered compliance.

Interested candidates can share their update resume with : Data Scientist

Industry Type : IT Services & Consulting

Department : Data Science & Analytics

Employment Type : Full Time, Permanent

Role Category : Data Science & Machine Learning

Education :

- UG : B.Tech / B.E. in Any Specialization, Any Graduate

(ref:hirist.tech)