AI/ML Developer [GenAI/LLM, Python] - Hyderabad - Hybrid - Relocation Accepted

Company Description Sirius Lync is focused on delivering high-quality IT training, consulting, and services to a global audience. The organization aims to create strong career pathways for individuals entering the IT field and to support career advancement for experienced professionals. By combining practical learning with industry-relevant projects, Sirius Lync helps learners and professionals build skills that match current market needs. The company fosters a supportive environment where continuous improvement, professional growth, and long-term career development are central priorities.

Title: AI/ML Developer [GenAI/LLM, Python] - Hyderabad - Hybrid - Relocation Accepted

Location: Hyderabad, India - Hybrid 3 Days / 5 Days - Full-time On-site. Relocation accepted but 1st preference Hyderabad locals.

Experience: 3-7 Years

Company: AI-powered Insurance Technology Company

Key Skills: Python, AWS, AWS Lambda, FastAPI, Flask, Docker, AWS SageMaker, PostgreSQL, MySQL, DynamoDB, Git, PyTorch, TensorFlow, Scikit-Learn, Machine Learning, Large Language Models, Retrieval-Augmented Generation, REST APIs, LangChain, LlamaIndex, Vector Databases, Pinecone, FAISS, Chroma, pgvector, Weaviate, Prompt Engineering, OpenAI, Anthropic, Amazon Bedrock, Llama, Mistral, Hugging Face Transformers, LoRA, PEFT, RAGAS, LangSmith, MLflow, EC2, S3, IAM, CloudWatch, AI Agents, Function Calling, OCR, Document Processing

Roles & Responsibilities:

1. Design, build, and maintain AI/ML-powered applications in Python.

2. Develop LLM-based features such as document understanding, summarisation, extraction, and conversational assistants for insurance workflows.

3. Build and improve Retrieval-Augmented Generation [RAG] pipelines, including data ingestion, chunking, embeddings, vector search, and prompt design.

4. Deploy, monitor, and scale models and AI services on AWS.

5. Build and integrate REST APIs that expose AI capabilities to products and client systems.

6. Evaluate model and LLM outputs for accuracy, relevance, latency, and cost, and improve them over time.

7. Work with relational, NoSQL, and vector databases.

8. Read existing code and make improvements independently with light guidance.

9. Debug and fix issues across application and AI stack.

10. Follow good practices for version control, testing, and documentation.

Ideal Candidate:

• 3+ years hands-on software dev with at least recent 1+ years on AI/ML or LLM-based projects[Mandatory]

• Strong Python[Mandatory]

• Hands-on LLM APIs/platforms - OpenAI, Anthropic, Bedrock, Azure OpenAI, Llama, Mistral[Mandatory]

• Practical RAG using LangChain, LlamaIndex or similar[Mandatory]

• Familiarity with embeddings and vector DBs - Pinecone, FAISS, Chroma, pgvector, Weaviate, OpenSearch[Mandatory]

• Understanding of prompt engineering & LLM evaluation[Mandatory]

• Experience deploying models/services to production - FastAPI/Flask, Docker, Lambda, ECS, SageMaker[Mandatory]

• Working knowledge AWS - EC2, S3, Lambda, IAM, CloudWatch, ECS/ECR + REST APIs[Mandatory]

• Experience with Databases - PostgreSQL/MySQL/DynamoDB, Git, Linux & shell scripting[Mandatory]

• Strong debugging and problem-solving[Mandatory]

• Familiarity with ML libraries - PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers[Mandatory]

• Bachelor’s degree in CS/IT/Engineering[Mandatory]

Interview Process: Tech Round > Tech Round > Cultural Fit Round