Data Science Professional - Gen AI / LLM
TechStar Group · Hyderabad · onsite · Posted 50d ago
Undisclosed2–6 yrsfulltimeSourced from
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About this role
Job Description Senior Engineer AI/LLM Developer
Overview
Key Responsibilities
Required Skills Qualifications
Preferred Skills
Technologies
Preferred Candidate Profile
Preferred Qualification:
Experience: 4+ Years
Role: Senior Engineer AI/LLM Developer
Location: Hyderabad (Preferred)-5 days WFO
Prefer Qualification: BE/B.tech, M.tech ,MCA, Masters
Overview
We are looking for a highly skilled Lead/Senior Engineer AI/LLM Developer to design, develop, and deploy cutting-edge Generative AI solutions powered by Large Language Models (LLMs). The ideal candidate should have strong experience in AI/ML, transformer models, Retrieval-Augmented Generation (RAG), vector databases, and cloud-based AI deployment. You will play a key role in building scalable, production-ready AI applications while mentoring team members and driving technical excellence.
Key Responsibilities
- Design and develop AI-powered applications using Large Language Models (LLMs).
- Build, integrate, and deploy LLM-based solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Implement advanced prompt engineering techniques to improve AI response quality.
- Fine-tune transformer-based models for domain-specific use cases.
- Optimize AI models for latency, scalability, and cost using techniques such as quantization and distillation.
- Build robust data ingestion and preprocessing pipelines for AI training and inference.
- Develop AI evaluation frameworks and benchmark model performance.
- Deploy AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Containerize AI applications using Docker and orchestrate deployments with Kubernetes.
- Collaborate with product managers, data scientists, and engineering teams to deliver business solutions.
- Conduct code reviews, mentor junior engineers, and promote AI engineering best practices.
- Ensure responsible AI development by following security, privacy, and ethical AI standards.
Required Skills Qualifications
- 4+ years of software development experience with at least 3 years in AI/ML or Generative AI.
- Strong proficiency in Python.
- Hands-on experience with PyTorch, TensorFlow, and Hugging Face Transformers.
- Experience working with transformer-based models and LLM APIs.
- Strong understanding of Prompt Engineering and LLM application development.
- Hands-on experience implementing RAG architectures.
- Experience with vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Milvus, or Qdrant.
- Knowledge of embeddings and semantic search techniques.
- Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform.
- Familiarity with Docker and Kubernetes.
- Strong understanding of REST APIs, microservices, and scalable software architecture.
- Excellent analytical, debugging, and problem-solving skills.
Preferred Skills
- Experience with LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.
- Knowledge of AI agents and multi-agent architectures.
- Experience with multimodal AI (text, image, audio, and vision models).
- Hands-on experience with model optimization techniques including quantization and distillation.
- Understanding of AI evaluation metrics and benchmarking.
- Experience with CI/CD pipelines and MLOps.
- Contributions to open-source AI projects or published AI research are a plus.
- Knowledge of Responsible AI, AI Governance, and AI Security best practices.
Technologies
- Programming: Python
- AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face
- LLM Frameworks: LangChain, LangGraph, LlamaIndex
- LLMs: GPT, Llama, Claude, Gemini, Mistral
- Vector Databases: Pinecone, ChromaDB, FAISS, Weaviate, Milvus, Qdrant
- Cloud Platforms: AWS, Azure, GCP
- Containers: Docker, Kubernetes
- Version Control: Git
- Databases: SQL, NoSQL
- Deployment: REST APIs, FastAPI, Flask
Preferred Candidate Profile
- Strong expertise in designing enterprise-grade AI applications.
- Experience delivering production-ready LLM solutions.
- Ability to work independently and lead technical initiatives.
- Excellent communication and stakeholder management skills.
Preferred Qualification:
Master's in AI, B,Tech,MCA,M.Tech
- Passion for emerging AI technologies and continuous learning.
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Skills
AI evaluationai developmentapisai modelsamazon web servicesai technologiesAi DeploymentAi Researchai governanceai securityAI TrainingArchitectureApplication DevelopmentAi SolutionsMicrosoft AzureArtificial IntelligenceAI evaluation metricsAnthropic SDK
About TechStar Group
TechStar Group
IT Services & Consulting
1.2k+
employees
2002
24 years old
Hyderabad / Secunderabad, Telangana
India
₹14.4L PA avg
Avg at TechStar Group
About
TechStar Group provides product development and IT services, enhancing customer success through business process improvements and tailored technology solutions.
Industries
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