Hi Team,

We have an immediate requirement for a GenAI Developer with robust hands-on experience in Machine Learning, Python, LLM applications, RAG pipelines, Vector Databases, and API integrations .

Position: GenAI Developer

Location: Hyderabad

Employment Type: Contract

Shift: US Central Time – Daily stand-ups and occasional stakeholder interactions

Role Summary

We are looking for a hands-on GenAI Developer with a strong foundation in Machine Learning and experience building and deploying LLM-powered applications. The candidate will work closely with a Senior Engineer to develop and enhance RAG pipelines, AI assistants, integrations, and supporting services.

The ideal candidate should have strong Python and ML fundamentals along with practical experience in Generative AI, LLMs, RAG, vector search, APIs, and model evaluation. The candidate should be comfortable working in a fast-paced Agile environment with evolving requirements and limited documentation.

Key Responsibilities

- Develop and maintain LLM-powered applications, AI assistants, and supporting backend services.
- Design and implement end-to-end RAG pipelines, including document ingestion, preprocessing, chunking, embeddings, vector indexing, retrieval, reranking, and generation.
- Develop and deploy Machine Learning models for predictive analytics, classification, regression, NLP, and other AI use cases.
- Perform data preprocessing, feature engineering, model training, validation, hyperparameter tuning, and model evaluation.
- Build integrations between LLM/ML services, enterprise applications, databases, and external systems using REST APIs.
- Implement prompt engineering, structured outputs, function calling, and tool-calling capabilities.
- Work with Vector Databases / Vector Stores and embedding technologies.
- Integrate and evaluate ML/LLM models and support regression testing of AI application behavior.
- Develop Python-based APIs and microservices using frameworks such as FastAPI.
- Implement model monitoring, logging, evaluation, and production support processes.




- Work with cloud platforms and deployment technologies such as AWS/Azure, Docker, and CI/CD.
- Participate in daily stand-ups, sprint ceremonies, code reviews, and iterative development activities.
- Collaborate with Senior Engineers and US stakeholders to translate changing business requirements into technical solutions.

Must-Have Skills
- Strong hands-on Python development experience.
- Strong foundation in Machine Learning and Data Science .
- Experience with ML algorithms such as classification, regression, clustering, predictive modeling, and model evaluation.
- Experience with ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or equivalent .
- Hands-on experience with Generative AI / LLM application development .
- Practical experience implementing RAG pipelines .
- Experience with embeddings and Vector Databases / Vector Stores .
- Experience with REST API development and integration .
- Strong understanding of JSON and data manipulation .
- Experience with prompt engineering and function/tool calling .
- Knowledge of NLP / Transformer-based models .
- Experience with model evaluation, testing, and deployment.
- Good understanding of Git workflows .
- Strong communication and collaboration skills.
- Ability to work in the US Central Time shift .

Good-to-Have Skills
- AWS or Azure cloud experience.
- AWS Bedrock / Azure OpenAI.
- MLflow / MLOps.
- Docker / Kubernetes.
- CI/CD pipelines.
- LangChain / LangGraph / LlamaIndex.
- Pinecone / Qdrant / FAISS / Chroma / Azure AI Search.
- RAG evaluation tools such as RAGAS or DeepEval.
- Forecasting / predictive analytics experience.
- Pharmaceutical / Commercial domain experience.
- UiPath or other automation/orchestration platforms.

Preferred Candidate Profile Candidates with strong hands-on experience in:

Python + Machine Learning + GenAI/LLM + RAG + Embeddings + Vector Database + REST APIs will be strongly preferred.

Please share relevant profiles with the following details:

- Total Experience
- Relevant ML Experience
- Relevant GenAI/LLM Experience
- Current Location
- Notice Period
- Expected Rate / Compensation
- Shift Availability

📌 Machine Learning Engineer (Hyderabad)
🏢 Vysystems
📍 Hyderabad